Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 6 | [Pitched Project] Specialized Camera for Medical Applications |
Amartya Bhattacharya Isha Akella Jason Jung |
Jason Zhang | design_document1.pdf design_document2.pdf final_paper1.pdf photo1.jpeg photo2.png proposal1.pdf proposal2.pdf video1.mp4 |
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| ## Team Members: Jason Jung (jasondj2@illinois.edu) Isha Akella (iakella2@illinois.edu) Amartya Bhattacharya (amartya5@illinois.edu) _Our RFA is based on Professor Gruev’s pitched project for a small specialized camera for medical applications._ ## Problem: What humans can see is limited and subjective. In a medical context, the ability to capture a variety of spectra, including those invisible to the naked eye, can improve the assessment abilities of a medical professional, especially in surgical tasks. For instance, combining color imaging with NIR bands can help to locate and distinguish between tumors and surrounding tissues. Multispectral imaging enhances inspection capabilities for various applications. ## Solution Overview: Our project will be a handheld device with an integrated camera sensor that can perform multispectral imaging across UV, visible, and NIR spectra with real-time visualization across different windows. Our solution is novel compared to other medical handheld imaging devices, such as endoscopy cameras, due to the ability to capture multiple spectra. ## Solution Components: Camera subsystem (sensor, lens, and filter): * MIPI-compatible monochrome image sensor with at least 1MP resolution * Pixel size of ~15.6 micrometers or smaller * Lens with focal length that can accommodate relative spatial resolution of 10 microns across an area of 1cm x 1cm * Pixelated multispectral filter array (area scan) for UV, visible, and near IR (NIR) spectrums * Dual bandpass filter attachment that blocks wavelengths in the ~270-290 nm and 770-790 nm range while allowing all other wavelengths to go through Processing subsystem: * MIPI and USB compatible microcontroller able to process 20MB of image data per second * Image processing for RGB, UV, and NIR segment spectra in real-time Power subsystem: * Wired device of maximum power ~2 Watts Enclosure: * The entire system will be enclosed in a pen-like structure * The size will be roughly around 1in x 1in x 5in ## Criterion For Success: A successful specialized camera device would be in a handheld enclosure, able to display video retrieved by the camera subsystem in real-time at 10-20 frames/second and sense signals in the visible, UV, and near-infrared spectra. For demonstration purposes, we will show the real-time video of the camera subsystem running at a rate of 10-20 frames/second. We will implement image processing to separate the segments of visible, UV, and NIR signals and display them in real-time across different windows. We will use LEDs in our demonstration to show we can capture video in the visible light spectrum. Additionally, we will use imaging phantoms for UV and NIR, which are fluorophore molecules that will fluoresce when excited by specific wavelengths. |
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