Introduction
Modern diagnostic equipment represents a remarkable convergence of science and technology, enabling earlier and more accurate detection of life-threatening conditions such as cancer, cardiovascular diseases, and neurodegenerative disorders. Among the most innovative imaging tools available today is the hybrid PET/MRI scanner1, which combines Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) to provide simultaneous metabolic and structural imaging. This integration enhances tumor detection, staging, and therapy monitoring in oncology, as PET reveals metabolic activity of tumors, while MRI precisely localizes lesions in soft tissues. In neurology, PET/MRI is essential for detecting Alzheimer’s disease, Parkinson’s disease, epilepsy, and multiple sclerosis, where PET identifies functional deficits and MRI maps brain atrophy and white matter damage. Beyond cancer and brain disorders, PET/MRI has significant applications in cardiology, evaluating myocardial viability, coronary artery disease, and inflammatory heart conditions. It also plays a key role in autoimmune and inflammatory diseases, such as rheumatoid arthritis and Crohn’s disease, where PET detects active inflammation, and MRI provides detailed anatomical assessment. In pediatrics, PET/MRI minimizes radiation exposure, making it safer for conditions requiring frequent imaging, including congenital heart disease and pediatric tumors. As advancements in AI, total-body PET scanners, and hybrid imaging protocols continue, PET/MRI is becoming a cornerstone of precision medicine, improving early disease detection, personalized treatment planning, and overall patient outcomes.
PET and MRI are both powerful imaging modalities, but they operate based on fundamentally different physical principles and deliver unique types of information. MRI is a powerful imaging technique based on Nuclear Magnetic Resonance (NMR), primarily focusing on hydrogen nuclei (protons) due to their abundance in the human body2. When placed in a strong magnetic field (typically 0.5–7 Tesla), hydrogen nuclei align with the field. A radiofrequency (RF) pulse temporarily disrupts this alignment, and as protons return to their original state, they emit signals detected by MRI scanners. These signals are processed to generate high-resolution images, distinguishing tissues based on T1 (longitudinal) and T2 (transverse) relaxation times3.
MRI excels in soft tissue imaging, making it essential for neurological, oncological, musculoskeletal, and cardiovascular diagnostics. In brain imaging, MRI detects tumors, strokes, epilepsy, and neurodegenerative diseases like Alzheimer’s and Parkinson’s disease. In oncology, MRI provides high-contrast images for breast, prostate, liver, and cervical cancers, offering a safer alternative to CT or PET by avoiding ionizing radiation4. Cardiac MRI is invaluable for assessing myocardial infarctions, fibrosis, and ischemia, while musculoskeletal MRI is used for detecting ligament injuries, arthritis, and spinal disorders5.
PET is a functional imaging technique that visualizes metabolic activity, making it essential in oncology, neurology, and cardiology6. PET uses radioactive tracers, such as 18F-FDG, which accumulates in highly active tissues like cancer cells. After injection, the tracer undergoes positron decay, emitting gamma rays that PET scanners detect to create 3D metabolic maps7.
In oncology, PET detects early-stage tumors, metastases, and treatment response by identifying increased glucose uptake in malignant tissues8. It helps differentiate active tumors from scar tissue and optimizes radiotherapy planning. In neurology, PET identifies Alzheimer’s disease, showing reduced glucose metabolism, and aids in diagnosing Parkinson’s disease and epilepsy9. Cardiac PET assesses myocardial viability, distinguishing ischemic but salvageable tissue from irreversibly damaged areas, guiding revascularization decisions10.
While PET provides real-time metabolic insights, it has lower spatial resolution than MRI/CT and involves radiation exposure. Hybrid PET/CT and PET/MRI improve anatomical localization6. Advances in total-body PET and AI-powered reconstruction are enhancing imaging speed, sensitivity, and diagnostic accuracy11.
Despite their individual strengths, both PET and MRI have limitations. PET involves exposure to ionizing radiation from the injected radionuclides, which, although minimal, still poses some risk to patients, especially with repeated exposure. MRI, on the other hand, while not involving radiation, has its own risks and limitations, particularly in patients with metal implants or those who are sensitive to the effects of strong magnetic fields. The development of hybrid PET/MRI systems addresses these challenges by combining the functional imaging capabilities of PET with the structural imaging strengths of MRI in a single device. This integration not only improves diagnostic accuracy but also enhances patient safety by reducing the overall radiation exposure compared to standalone PET or PET/CT systems12.
Currently PET/CT is the more widely used imaging technique due to its faster scan times, lower costs, and broader availability, particularly in oncology, cardiology, and infection imaging. It effectively combines functional PET data with high-resolution CT anatomical imaging, making it the gold standard for cancer staging, metastasis detection, and treatment monitoring. In contrast, PET/MRI is an emerging technology that offers superior soft tissue contrast and significantly lower radiation exposure, making it ideal for neurology, pediatrics, and musculoskeletal imaging. However, high costs, longer scan times, and limited availability have slowed its adoption. Despite these challenges, advancements in PET/MRI technology, improved cost-efficiency, and increasing clinical applications—especially in neurodegenerative diseases, prostate cancer, and inflammatory disorders—are expected to expand its role in the future. As the technology PET, and hybrid imaging protocols continue to develop, PET/MRI may become a more competitive alternative to PET/CT in precision medicine.
The hybrid PET/MRI system introduces a new era in medical imaging by allowing physicians to conduct simultaneous functional and structural studies. The device’s high sensitivity, particularly due to advancements in the photodetector technology it employs, allows for a significant reduction in the dose of radiopharmaceuticals administered to patients12. This ensures that diagnostic procedures remain highly accurate while minimizing radiation exposure. For example, in brain research, PET/MRI enables simultaneous mapping of brain function and real-time observation of radiopharmaceutical uptake, offering unique insights into the progression of neurodegenerative diseases such as Alzheimer’s, epilepsy, and Parkinson’s disease. This capability is critical for both diagnosis and monitoring of treatment efficacy, as functional changes in the brain can be tracked alongside anatomical alterations.
The hybrid PET/MRI system also holds great promise in the field of oncology. In cancers such as those of the prostate, breast, cervix, brain, and liver, the device can provide precise localization of tumors, assess the stage of disease, and evaluate the patient’s response to treatment. One notable advantage of PET/MRI over PET/CT is its superior soft tissue contrast, which is particularly important in detecting tumors in areas like the brain or liver, where tissue differentiation is crucial. Moreover, PET/MRI reduces radiation exposure by eliminating the need for the computed tomography (CT) scan, making it a safer alternative, especially for pediatric patients and those requiring multiple scans over time.
Another area where PET/MRI shows significant potential is in the diagnosis and management of inflammatory diseases, such as Crohn's disease. Crohn's disease is a chronic inflammatory condition of the gastrointestinal tract that can be difficult to diagnose, particularly in its early stages. The hybrid PET/MRI system enables early detection by combining PET's ability to detect metabolic changes associated with inflammation and MRI's ability to provide detailed anatomical images of the gastrointestinal tract. This combination can help physicians identify and monitor the disease before it causes significant damage to the digestive system.
Cardiovascular imaging is yet another promising application of PET/MRI technology. The system offers a unique capability to assess coronary blood flow and myocardial viability. MRI allows for detailed visualization of the heart, enabling doctors to monitor its structure, function, and dynamics, such as the contraction of the heart chambers and the thickness of the myocardium. PET, on the other hand, is invaluable in detecting metabolic activity in the myocardium, allowing for the identification of viable heart tissue in areas affected by conditions such as ischemia or myocardial infarction. The ability to detect living tissue within scarred areas, for example after an ischemic heart attack, could significantly improve the diagnosis and treatment planning for patients with heart disease.
The potential for PET/MRI in pediatric care is also noteworthy. Children are particularly sensitive to radiation, and minimizing their exposure is a key concern in medical imaging. The hybrid PET/MRI system offers a significant advantage in this regard by reducing radiation doses compared to traditional PET/CT or standalone PET scans12. This makes PET/MRI a safer option for pediatric patients, who may require repeated imaging over the course of their treatment.
In line with the World Health Organization’s (WHO) Cancer Control Planning guidelines, which emphasize the importance of early detection, diagnosis, treatment, and palliative care, hybrid PET/MRI systems are poised to play a critical role in improving cancer outcomes. By leveraging the latest advances in digital technology and photodetector design, these systems offer the potential to enhance diagnostic accuracy while reducing the risks associated with radiation exposure. The WHO has identified five key action areas where member states can contribute to cancer control: prevention, early detection, diagnosis and treatment, palliative care, and policy development. Within these areas, the development of innovative diagnostic tools like PET/MRI will be essential for achieving the goals of improved early detection and more effective treatment strategies.
In recent years, significant efforts have been made to improve the performance of silicon photodetectors13–17. Silicon photodetectors are critical components in detecting the gamma radiation emitted during PET imaging, and their performance directly impacts the quality and resolution of the images produced. However, commercially available designs have limitations, particularly regarding the geometric efficiency of the active surface, which results in reduced photon detection efficiency. To address this, researchers have developed a new design for micropixel avalanche photodiodes (MAPD-3NM). These photodiodes have been applied in a range of fields, including gamma spectroscopy, time-of-flight experiments, alpha particle detection, LIDAR systems, and nuclear forensics, demonstrating their versatility and effectiveness. The MAPD-3NM design offers improved geometric efficiency and photon detection capability, making it a promising solution for enhancing the performance of PET/MRI scanners.
Overall, the continued advancement of hybrid PET/MRI systems, supported by improvements in photodetector technology, represents a significant leap forward in medical imaging. By offering a safer, more accurate, and more comprehensive diagnostic tool, these systems are poised to transform the landscape of medical diagnostics, particularly in oncology, neurology, cardiology, and pediatric care.
Structure of micropixel avalanche photodiodes
Currently, silicon avalanche photodiodes with surface-pixel architectures are widely implemented in various applications. In these designs, the individual pixels are arranged on the surface of the diode, with each pixel connected to the cathode through a quenching resistor, forming a parallel circuit where isolation channels separate each pixel. However, a portion of the sensitive area is occupied by quenching resistors, isolation channels, and main signal lines, reducing the geometric efficiency of the photodiode and ultimately limiting its photon detection efficiency (PDE). As the pixel density increases in such surface-pixel structures, this geometric factor diminishes sharply, leading to a substantial decline in the device's overall detection efficiency.
An example of this limitation is evident in MPPC S12572-010P photodiodes from HAMAMATSU PHOTONICS™ (Japan), which have pixel density 10,000 pixels/mm2, with a photon detection efficiency of 10%. These constraints hinder the effectiveness of surface-pixel photodiodes for use in advanced applications, such as in PET-MRI scanners, where high efficiency is crucial for accurate medical imaging.
To address these limitations, our research group proposed a novel deep-pixel architecture for silicon avalanche photodiodes18,19. Unlike the surface-pixel design, in which the pixels are confined to the surface, deep-pixel photodiodes embed each pixel within the epitaxial layer of the silicon. In this structure, each pixel connects to the substrate via the first epitaxial layer, while the potential barrier between the pixel and the epitaxial layer serves the role of the quenching resistance. This approach minimizes the space required for quenching resistors and isolation channels, significantly improving both the geometric factor and photon detection efficiency.
Deep-pixel avalanche photodiodes (Figure 1), commonly referred to as micropixel avalanche photodiodes (MAPDs), were first introduced by Zecotek Photonics Inc. in 200920. Since then, MAPDs have undergone extensive development, with different variations designed for specific applications. The MAPD-3B series, for instance, was the first to be designed with a pixel density of 40,000 pixels/mm2, featuring a pixel size of 2 μm and a pitch of 5 μm. These photodiodes were optimized for high-energy physics experiments, yet they exhibited limitations, including low gain (approximately 104) and low photon detection efficiency (~10%).
Figure 1. I- Deep pixel photodiode structural scheme, II- photo, III- cross-section.
I Layer-by-layer diagram of the photodiode itself consisting of 1- silicon substrate, 2- lower epitaxial layer, 3- pixel matrix, 4- upper epitaxial layer, 5- protective layer - silicon nitride and 6- contact strip. II-real photo. III-Cross-section of the layered structure according to I.
In an effort to enhance these parameters, the MAPD-3A series was developed with larger pixels (3 μm), reducing the pixel density to 15,000 pixels/mm2, but increasing the gain to ~3×104 and improving the registration efficiency to ~15%. However, for applications such as PET-MRI scanners, the photon detection efficiency still fell short of the required 20%.
Further advancements were made with the introduction of the MAPD-3N photodiodes, where the pixel size was increased to 5 μm and the pitch was adjusted to 7 μm. This iteration provided a gain of ~6×104 and a PDE of ~25%, with a pixel density of 15,000 pixels/mm2. Despite these improvements, further enhancements were necessary to achieve the desired performance levels for medical imaging applications.
The next generation, the MAPD-3NK photodiodes21–23, featured a larger pixel diameter (7 μm) and pitch (10 μm), resulting in a pixel density of 10,000 pixels/mm2. Although the MAPD-3NK exhibited a gain of ~6×104 and a PDE of ~30%, it also presented several drawbacks, such as a high operating voltage exceeding 90 V, a high temperature coefficient for the breakdown voltage (>50 mV/K), and elevated dark current levels. These shortcomings made MAPD-3NK photodiodes unsuitable for many precision applications.
To address these issues, researchers developed the MAPD-3NM series24–27 by refining the epitaxial layer structure and doping concentrations. In MAPD-3NM photodiodes, the second epitaxial layer thickness was reduced to 3 μm, and the additive concentration in the first epitaxial layer was increased. These modifications were aimed at lowering the operating voltage, reducing dark current, and improving the temperature stability of the photodiodes. In 18, the PDE in MAPD-3NM photodiodes was calculated to be 27.3%.
This paper focuses on the comparative study of the parameters of the MAPD-3NK and the newly developed MAPD-3NM photodiodes, both of which were fabricated by Zecotek. The MAPD-3NK devices were manufactured at the National Nanofab Center (NANOFAB) in South Korea in 2013, while the MAPD-3NM photodiodes were produced by Malaysia’s MIMOS (Malaysia National Application Research and Development Center). Both types of photodiodes share the same pixel diameter and pitch, with a pixel density of 10,000 pixels/mm2.
In the experimental setup, a Keithley 6487 picoammeter/voltage source and an E7-20M "Imitance Meter" were used to characterize the current-voltage and capacitance-voltage characteristics of the photodiodes. These measurements provided insights into the performance improvements brought about by the new epitaxial structure in the MAPD-3NM, as well as its implications for applications in high-precision fields such as PET-MRI scanning, where high PDE and stability under varying operational conditions are critical for effective performance.
The described structure (Figure 1) is composed of several layers, beginning with a silicon substrate (1). On this substrate, an epitaxial layer (2) is grown, with a thickness that can vary between 3 μm and 7 μm, depending on the specific modification of the device. The pixel matrix (3) is formed through ion implantation within this epitaxial layer, with pixel sizes ranging from 2 μm to 15 μm, depending on the configuration used in different applications.
Following the pixel matrix, a second epitaxial layer (4) is deposited on top, also ranging in thickness from 3 μm to 7 μm, depending on the variant. This layer serves to insulate and protect the pixel matrix, enhancing the photodiode's performance by minimizing noise and optimizing signal integrity. A protective layer of silicon nitride (5) is then applied on top, with a thickness of approximately 100 nm. This silicon nitride layer acts as a passivation layer, shielding the sensitive regions of the device from environmental factors such as moisture and contaminants, thus improving the overall stability and longevity of the photodetector.
Finally, a contact strip (6) is applied to allow electrical connections to be made, ensuring that the photodiode can be effectively integrated into larger electronic systems. The structure’s design, which incorporates both epitaxial layers and protective silicon nitride, provides enhanced stability and improved detection capabilities, making it suitable for high-sensitivity applications such as medical imaging or high-energy physics experiments. This multi-layered approach to photodiode construction is integral to optimizing pixel density, PDE, and minimizing operational drawbacks such as high dark current or excessive voltage requirements.
The stability of the MAPD fabrication process is a critical factor in ensuring the reliability and performance of these detectors. The production process involves precise control over doping concentrations, lithography, and etching techniques to achieve uniformity in pixel structure and gain characteristics. However, variations in semiconductor processing can introduce defects, impacting device performance and overall manufacturing yield. The success-to-failure ratio in MAPD production depends on factors such as wafer quality, fabrication precision, and defect management strategies. While industrial production of similar silicon photomultipliers (SiPMs) often achieves high success ratio, newly developed designs may initially exhibit lower success rates before process optimization. Enhancing fabrication consistency and minimizing structural defects remain key challenges in advancing MAPD technology for hybrid PET-MRI applications.
Methods
To determine the breakdown voltage by the current differential, an electrical circuit was assembled (Figure 2).
Figure 2. Experimental circuit for determining breakdown voltage using the volt-ampere characteristic.
The figure illustrates the layout of an experimental circuit designed for measuring the volt-ampere characteristic (VAC) of diodes with high sensitivity and precision. The entire setup was constructed inside a compact, shielded metal enclosure to minimize electromagnetic interference and ensure mechanical stability. The enclosure is equipped with a fitted lid, the edges of which are lined with rubber gaskets to ensure a light-tight seal. This design is particularly important for measuring photosensitive or reverse-biased diodes, where ambient light could introduce unwanted photocurrent and compromise measurement accuracy.
At the heart of the circuit is a photodiode (SiPM) under test, connected in series with a high-value resistor and a coupling capacitor to allow for controlled voltage application and current stabilization. The circuit also includes filtering components to suppress high-frequency noise, which is critical when measuring extremely low currents.
A Keithley 6487 picoammeter/voltage source serves as the primary instrument for both sourcing voltage and measuring the resulting current. This instrument is well-suited for characterizing semiconductor devices, as it can source voltage with high resolution and measure currents down to the picoampere (10–12 A) range, enabling the accurate characterization of reverse leakage current and breakdown behavior.
To visualize and verify the voltage waveforms and transitions applied to the diode, an oscilloscope was connected in parallel with the diode terminals. The oscilloscope provides real-time monitoring of voltage levels and response dynamics, allowing for precise control of the measurement sequence and identification of non-linear transitions in the VAC curve.
This setup enables both forward and reverse bias characterization of diodes under dark conditions and can be adapted for light-sensitive measurements if necessary. The design ensures repeatable, low-noise data acquisition suitable for detailed semiconductor analysis and parameter extraction.
Figure 3 presents the current-voltage (I-V) characteristics of the MAPD-3NK and MAPD-3NM photodiodes, measured in reverse bias. In both types of photodiodes, the voltage range between 80V and 70.4V corresponds to the low-gain mode (∆U<0V, where ∆U represents the difference between the operating voltage and the breakdown voltage, ∆U = Uoperation - Ubreakdown). In this low-gain region, the photodiodes exhibit minimal amplification. However, at higher voltages (∆U>0V), the gain increases significantly, entering what is known as the Geiger mode, where the photodiodes operate at peak efficiency.
Figure 3. Reverse volt-ampere characteristics of MAPD-3NK and MAPD-3NM photodiode.
Voltages of 85.6 V and 71.1 V correspond to the breakdown voltages of the samples, and the range of 89–91 V and 71.8–75.8 V correspond to the working voltage ranges of the samples, respectively.
For the MAPD-3NK photodiode, the voltage range where this high-gain behavior occurs is between 89V and 91V, while for the MAPD-3NM photodiode, this range is much lower, between 71.8V and 75.8V. This indicates that the MAPD-3NM photodiode can achieve high gain at considerably lower operating voltages compared to the MAPD-3NK model, which is a key improvement in terms of energy efficiency and performance optimization.
Another notable difference between the two devices is their dark current, which refers to the current that flows through the photodiode in the absence of light. At their respective operating voltages, the MAPD-3NK photodiode exhibits a dark current of 1485 nA, whereas the MAPD-3NM photodiode shows a significantly lower dark current of 420 nA. This reduction in dark current in the MAPD-3NM photodiode can be attributed to improvements in its epitaxial layer design and overall structural enhancements, which help minimize noise and improve the signal-to-noise ratio in sensitive applications.
These findings highlight the superior performance of the MAPD-3NM photodiode in terms of both lower operating voltage and reduced dark current, making it a more suitable candidate for high-precision applications such as PET-MRI scanners, where high gain, low noise, and efficient energy consumption are critical.
Figure 4 illustrates the spectral distribution of single photoelectrons generated in response to a weak light beam incident on the photodiodes. The MAPD-3NK (Figure 4A) photodiode’s breakdown voltage is 85.6 V, which signifies the point at which the photodiode can no longer operate in its linear range and begins to conduct significant current due to avalanche multiplication. At the optimal operational voltage of 90 V, the gain achieved by these photodiodes is approximately 6×104 at a temperature of 20 °C. This high gain indicates the device's ability to effectively amplify the signals produced by incoming photons, making it well suited for applications that require high sensitivity.
Figure 4. Amplitude distribution of single photoelectrons in MAPD-3NK and MAPD-3NM photodiodes and voltage dependence of the charge corresponding to the first photoelectron.
The distance in ADC channels between two successive photoelectron peaks represents the charge of 1 photoelectron (Peaks from left to right correspond to the 1st, 2nd, 3rd......etc. photoelectron). 4A: the MAPD-3NK photodiode's effective performance under low-light conditions. 4B: MAPD-3NM photodiodes demonstrate a breakdown voltage of 71.8V.
Furthermore, the maximum overvoltage applied to the MAPD-3NK photodiodes is to be 2V. Overvoltage refers to the voltage difference between the operating voltage and the breakdown voltage, which plays a crucial role in enhancing the gain and improving the overall performance of the photodiode by facilitating a more significant avalanche effect.
Additionally, each pixel of the MAPD-3NK photodiode has a capacitance of 4.2 fF. This capacitance value is important because it reflects the ability of each pixel to store charge, which directly affects the speed of the photodiode's response to incoming photons. A lower capacitance is generally desirable in high-speed applications, as it allows for quicker discharge and faster signal processing.
Overall, the results presented in Figure 4(A) highlight the MAPD-3NK photodiode's effective performance under low-light conditions, characterized by a favorable combination of breakdown voltage, gain, overvoltage, and pixel capacitance. These parameters collectively enhance the photodiode's capabilities, particularly in fields requiring precise light detection, such as medical imaging or particle physics. The ability to achieve high gain at a relatively low operating voltage, combined with low capacitance, positions the MAPD-3NK as a promising candidate for advanced photodetection applications.
The MAPD-3NM photodiodes demonstrate a breakdown voltage of 71.8V. When operated at an optimal voltage of 74.8 V, these photodiodes achieve a gain of approximately 1.1×105 at a temperature of 20 °C, as illustrated in Figure 4(B). This elevated gain signifies the device's enhanced sensitivity to low light levels, making it particularly effective for applications that require the detection of weak optical signals.
Additionally, the maximum overvoltage applied to the MAPD-3NM photodiodes is reported to be 4 V. This overvoltage, which is the difference between the optimal operating voltage and the breakdown voltage, is critical for enhancing the gain by promoting greater avalanche multiplication within the photodiode. The ability to achieve a higher overvoltage contributes to the device's improved performance in photodetection applications.
Furthermore, the capacitance of each pixel in the MAPD-3NM photodiodes is measured at 5.7 fF. This capacitance level indicates the pixel's ability to store charge, influencing the speed at which the photodiode can respond to incoming light. Lower capacitance values are generally favorable in fast-response scenarios, as they facilitate quicker discharge and enhance the overall detection rate.
Overall, the advancements presented in the MAPD-3NM photodiodes demonstrate an improvement in the overvoltage range of approximately 100% compared to previous models. This enhancement not only increases the gain and overall sensitivity of the device but also positions the MAPD-3NM as a robust option for high-performance applications in fields such as medical diagnostics and high-energy physics. The combination of a lower breakdown voltage, higher gain, increased overvoltage, and slightly higher pixel capacitance suggests that the MAPD-3NM photodiodes represent a significant step forward in photodetector technology, optimizing performance in low-light environments while ensuring efficient operation.
The capacitance measurements (Figure 5) of MAPD-3NK and MAPD-3NM photodiodes reveal distinct electrical behaviors influenced by the structure of their epitaxial layers. For the MAPD-3NK photodiode, at 23 V, the depletion region fully envelops the epitaxial layer, reducing the capacitance, which stabilizes at 176 pF as the voltage increases beyond 24 V. In contrast, the MAPD-3NM photodiode shows a more stable capacitance behavior, reaching 200 pF when the voltage exceeds 10 V, due to its thinner epitaxial layer allowing for greater charge accumulation. These differences in capacitance highlight the impact of epitaxial layer thickness on performance, with MAPD-3NK favoring faster response times and lower noise, and MAPD-3NM providing higher charge-handling capacity and greater sensitivity, making each suited for different high-sensitivity photodetection applications.
Figure 5. Voltage dependence of MAPD-3NK and MAPD-3NM photodiode capacitance.
Measured terminal capacitance of the device under different bias.
Results
The experimental results revealed that the MAPD-3NM photodiode achieved an amplification factor 1.8 times greater than that of the MAPD-3NK photodiode under optimal conditions. Additionally, the overvoltage range for the MAPD-3NM was increased by approximately 100%, reaching a maximum value of 4 V. This increase in overvoltage significantly enhanced the photodiode's performance by improving its ability to detect and amplify incoming photons.
One of the key improvements observed in the MAPD-3NM photodiode was the significant reduction in dark current, which was ~3.5 times lower than that of the MAPD-3NK photodiode at the operating voltage. Dark current, which represents the unwanted current that flows through a photodiode in the absence of light, is a critical factor in determining the overall noise and sensitivity of the device. The reduction in dark current in the MAPD-3NM photodiode suggests that it offers better performance in low-light environments, enhancing the signal-to-noise ratio and making it more effective for precise photodetection.
Furthermore, the capacitance of the MAPD-3NM photodiode was measured to be 200 pF, whereas the MAPD-3NK photodiode exhibited a capacitance of 176 pF. The higher capacitance in the MAPD-3NM photodiode could be indicative of its increased ability to store charge, which, when combined with its other improved parameters, contributes to its superior performance in various experimental applications.
The results indicate that the newly developed MAPD-3NM photodiode outperforms the MAPD-3NK photodiode across several key parameters, suggesting its potential for broader use in scientific and medical experiments. The enhanced amplification factor, expanded overvoltage range, and significantly reduced dark current make the MAPD-3NM a more efficient and sensitive option for applications requiring accurate photon detection.
Moreover, future developments for the MAPD-3NM series aim to further enhance its performance by focusing on the following improvements:
• Reduction in dark current: By improving the quality of the epitaxial layer and reducing the wafer thickness, the dark current can be further minimized, leading to even lower noise and improved sensitivity.
• Lowering operating voltage: By adjusting the thickness of the epitaxial layer and optimizing the concentration of additives, it is expected that the operating voltage can be reduced to a range of 50–60 V, making the device more energy-efficient.
• Increasing the amplification factor: By increasing pixel capacity and optimizing the overvoltage, the amplification factor can be further enhanced, providing better signal amplification for photon detection.
• Improving photon detection efficiency: By increasing both the overvoltage and the pixel area, the photon detection efficiency can be boosted, enabling more accurate and efficient detection of light across various experimental setups.
These planned enhancements signal the potential for the MAPD-3NM photodiodes to set new benchmarks in performance, positioning them as highly effective tools for advanced photodetection in areas such as medical imaging, nuclear physics, and other scientific research.
Data availability
Underlying data
Open Science Framework: Advanced photodetector for hybrid PET-MRI systems, https://doi.org/10.17605/OSF.IO/5ZGU2
Open Science Framework: Advanced photodetector for hybrid PET-MRI systems https://doi.org/10.17605/OSF.IO/9GJZK
This project contains the following data:
MAPD 3 NK Breakdown voltage.xlsx (breakdown measurement data of MAPD3NK photodiode)
MAPD 3 NK capacitance (capacitance measurement data of MAPD3NK photodiode)
MAPD 3 NK spectrum (spectrum performance data of MAPD3NK photodiode)
MAPD 3 NK Volt-Ampere (Volt-Ampere characteristic data of MAPD3NK photodiode)
MAPD 3 NM Breakdown voltage.xlsx (breakdown measurement data of MAPD3NM photodiode)
MAPD 3 NM capacitance (capacitance measurement data of MAPD3NM photodiode)
MAPD 3 NM spectrum (spectrum performance data of MAPD3NM photodiode)
MAPD 3 NM Volt-Ampere (Volt-Ampere characteristic data of MAPD3NM photodiode)
Table of Abbreviations
Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication) (http://creativecommons.org/publicdomain/zero/1.0/).
Faculty Opinions recommendedReferences
- 1.
Vitor T, Martins KM, Ionescu TM, et al.:
PET/MRI: a novel hybrid imaging technique. Major clinical indications and preliminary experience in Brazil.
Einstein (Sao Paulo).
2017; 15(1): 115–118. PubMed Abstract
| Publisher Full Text
| Free Full Text
- 2.
Berger A:
Magnetic resonance imaging.
BMJ.
2002; 324(7328): 35. PubMed Abstract
| Publisher Full Text
| Free Full Text
- 3.
Haacke EM:
Magnetic resonance imaging: physical principles and sequence design. (No Title). 1999.
- 4.
Vaquero JJ, Kinahan P:
Positron Emission Tomography: current challenges and opportunities for technological advances in clinical and preclinical imaging systems.
Annu Rev Biomed Eng.
2015; 17(1): 385–414. PubMed Abstract
| Publisher Full Text
| Free Full Text
- 5.
Brown MA, Semelka RC:
Pelvis MRI: introduction and technique. Women's Imaging: MRI with Multimodality Correlation. 2014; 1–7. Publisher Full Text
- 6.
Phelps ME:
PET: the merging of biology and imaging into molecular imaging.
J Nucl Med.
2000; 41(4): 661–81. PubMed Abstract
- 7.
Cherry JF:
Archaeology beyond the site: regional survey and its future. Theory and practice in Mediterranean archaeology: Old World and New World perspectives. 2003; 137–160. Publisher Full Text
- 8.
Lardinois D, Weder W, Hany TF, et al.:
Staging of non–small-cell lung cancer with integrated Positron-Emission Tomography and Computed Tomography.
N Engl J Med.
2003; 348(25): 2500–2507. PubMed Abstract
| Publisher Full Text
- 9.
Silverman DH, Small GW, Chang CY, et al.:
Positron Emission Tomography in evaluation of dementia: regional brain metabolism and long-term outcome.
JAMA.
2001; 286(17): 2120–2127. PubMed Abstract
| Publisher Full Text
- 10.
Khalaf S, Chamsi-Pasha M, Al-Mallah MH:
Assessment of myocardial viability by PET.
Curr Opin Cardiol.
2019; 34(5): 466–472. PubMed Abstract
| Publisher Full Text
- 11.
Cherry SR, Jones T, Karp JS, et al.:
Total-body PET: maximizing sensitivity to create new opportunities for clinical research and patient care.
J Nucl Med.
2018; 59(1): 3–12. PubMed Abstract
| Publisher Full Text
| Free Full Text
- 12.
Martin O, Schaarschmidt BM, Kirchner J, et al.:
PET/MRI versus PET/CT for whole-body staging: results from a single-center observational study on 1,003 sequential examinations.
J Nucl Med.
2020; 61(8): 1131–1136. PubMed Abstract
| Publisher Full Text
- 13.
Ahmadov F, Abdinov O, Ahmadov G, et al.:
Alpha particle detector based on Micropixel Avalanche Photodiodes.
Phys Part Nuclei Lett.
2013; 10: 778–779. Publisher Full Text
- 14.
Sadigov A, Suleymanov S, Ahmadov F, et al.:
A Micropixel Avalanche Phototransistor for time of flight measurements.
Nucl Instrum Methods Phys Res A.
2017; 845: 621–622. Publisher Full Text
- 15.
Ahmadov F, Abdullayev F, Ahmadov G, et al.:
A new physical model of Geiger-mode avalanche photodiodes.
J Instrum.
2020; 15(01): C01009. Publisher Full Text
- 16.
Huseynzada K, Sadigov A, Naghiyev J:
Innovative photodetector for LiDAR systems. In: The International Conference on Artificial Intelligence and Applied Mathematics in Engineering. Cham: Springer International Publishing, 2022; 680–690. Publisher Full Text
- 17.
Sadygov ZYO, Sadygov A:
U.S. Patent No. 9,252,317. Washington, DC: U.S. Patent and Trademark Office, 2016.
- 18.
Sadigov AZ, Ahmadov FI, Sadygov ZY, et al.:
Improvement of parameters of Micro-pixel Avalanche Photodiodes.
J Instrum.
2022; 17(07): P07021. Publisher Full Text
- 19.
Sadygov Z, Ahmadov F, Khorev S, et al.:
A new method to improve multiplication factor in Micro-pixel Avalanche Photodiodes with high pixel density.
Nucl Instrum Methods Phys Res A.
2016; 824: 137–138. Publisher Full Text
- 20.
Sadygov Z, Sadigov A, Khorev S:
Silicon Photomultipliers: status and prospects.
Phys Part Nuclei Lett.
2020; 17: 160–176. Publisher Full Text
- 21.
Nuriyev S, Ahmadov F, Sadygov Z, et al.:
Performance of a new generation of Micropixel Avalanche Photodiodes with high pixel density and high photon detection efficiency.
Nucl Instrum Methods Phys Res A.
2018; 912: 320–322. Publisher Full Text
- 22.
Akbarov R, Nuriyev S, Ahmadov F, et al.:
Scintillation light detection with MAPD-3NK and MPPC-S12572-010P readout.
KnE Energy.
2018; 357–362. Publisher Full Text
- 23.
Ahmadov F, Abdullayev F, Ahmadov G, et al.:
New phoswich detector based on LFS and p-terphenyl scintillators coupled to micro pixel avalanche photodiode.
Funct mater.
2017; 24(2): 341–344. Publisher Full Text
- 24.
Ahmadov F, Ahmadov G, Guliyev E, et al.:
New gamma detector modules based on Micropixel Avalanche Photodiode.
J Instrum.
2017; 12(1): C01003. Publisher Full Text
- 25.
Ahmadov G, Ahmadov F, Holik M, et al.:
Gamma-ray spectroscopy with MAPD array in the readout of LaBr3: Ce scintillator.
J Instrum.
2021; 16(7): P07020. Publisher Full Text
- 26.
Ahmadov F, Ahmadov G, Akbarov R, et al.:
Investigation of parameters of new MAPD-3NM silicon photomultipliers.
J Instrum.
2022; 17(1): C01001. Publisher Full Text
- 27.
Sadygov A, Ahmadov F, Ahmadov G, et al.:
Performance of styrene polymerized plastic scintillator with micropixel avalanche photodiode.
Radiat Meas.
2024; 171: 107061. Publisher Full Text
