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Advanced photodetector for hybrid PET-MRI systems

List of Authors

  1. K Isayev
    ,  
  2. O Rasulov
    ,  
  3. N Sadigova
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Abstract

Background

Currently, a wide variety of silicon photomultipliers (SiPMs) are available, each designed for specific applications in fields such as science, medicine, and industry. Advances in production technology have led to the development of more sensitive and efficient photodiodes, which are critical for applications requiring precision, such as medical imaging.

Methods

A research group has been working on designing a highly sensitive photodiode to enhance the capabilities of next-generation PET-MRI scanners. This involves integrating micropixel avalanche photodiodes (MAPDs) to improve image resolution. The chosen design features deep-immersion MAPDs with a pixel size of 12 microns and a density of 1000 pixels per square millimeter, allowing for high-detail photon detection. The 4x4 mm 2 active area is optimized to balance sensitivity and size for high-resolution medical imaging. To produce these photodiodes, the group has outlined a production plan involving 20-inch silicon wafers grown using multiple techniques to enhance material properties. The Malaysian Institute of Microelectronic Systems (MIMOS), renowned for its expertise in optical microelectronics, was selected as the production center. With MIMOS' state-of-the-art facilities, the project aims to meet stringent medical diagnostics standards.

Results

The experimental results demonstrated that the MAPD-3NM photodiode achieved an amplification factor 1.8 times greater than the MAPD-3NK under optimal conditions. Its overvoltage range increased by 100%, reaching 4 V, enhancing photon detection and amplification. The MAPD-3NM also showed a significant reduction in dark current, about 3.5 times lower than the MAPD-3NK, improving performance in low-light environments. Additionally, the MAPD-3NM had a capacitance of 200 pF compared to 176 pF for the MAPD-3NK, contributing to its superior performance. These improvements make the MAPD-3NM more efficient and sensitive for scientific and medical applications.

Conclusions

This project represents a major advancement in photodetector technology for medical diagnostics, aiming to develop more accurate and efficient PET-MRI scanners that enhance patient outcomes with improved imaging capabilities.

Plain Language Summary

Oncological diseases are among the most emotionally and mentally taxing medical conditions, and the number of people diagnosed with various types of cancer continues to rise. Early detection is crucial for enabling timely and effective treatment, which requires highly sensitive diagnostic devices. One of the most advanced solutions in this field is the hybrid PET-MRI scanner, offering superior imaging capabilities by combining the metabolic insights from PET scans with the anatomical precision of MRI.

To enhance the performance of these diagnostic systems, our research group has developed highly sensitive avalanche photodiodes with a deep pixel structure. This innovative design enables an impressive pixel density of up to 10,000 pixels per square millimeter. The photodiodes exhibit a photon detection efficiency (PDE) exceeding 30%. These characteristics significantly improve detection sensitivity and image resolution, making the PET-MRI scanner a more powerful tool for early cancer diagnosis and more accurate treatment planning.

By advancing the detection capabilities of hybrid PET-MRI technology, we aim to provide better diagnostic outcomes for patients, allowing for earlier intervention and potentially improved survival rates. Our work underscores the importance of technological innovation in the ongoing fight against cancer, where early and precise detection remains a key factor in successful treatment strategies.

Corresponding author
N Sadigova
0000-0002-4394-7910
Grant information

This project has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie grant agreement No [101086178] and No [101129879].

Copyright
© 2024 K Isayev (Co-Author); O Rasulov (Co-Author); N Sadigova (Corresponding Author, Co-Author) Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Authors & roles

K Isayev

Nuclear Research Department, IDDA, Baku, Azerbaijan

Roles
Co-Author, Formal Analysis, Software

O Rasulov

Elmek Mozgasban Alapitvany, Budapest, Hungary

Roles
Co-Author, Data Curation, Investigation, Software

N Sadigova

Azerbaijan University of Architecture and Construction, Baku, Azerbaijan

Roles
Corresponding Author, Co-Author, Project Administration, Writing – Review & Editing
0000-0002-4394-7910

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