多波長複頻驅動擴散光學立體造影系統研製與驗證

Multi-wavelength near infrared diffuse optical imaging (NIR DOI), belonging tofunctional imaging, enables to distinguish tumor tissue from normal one, as wellas characterizes oxygen content distribution. Since middle 90s it has beenapplied in tumor screening and diagnosis for soft tissue such as breast, andperformed for clinical trial besides continual technical improvement. Based uponthe previous experience in the study on DOI, especially the current two-yearproject “Study on Hybrid Diffuse Optical Imaging Technique and SystemIntegration” granted by the MOST that has been performed for improving theprevious prone-type imaging system including (i) the development of DOpIminteractive imaging system, (ii) the investigation of hybrid (model based and datadriving) imaging approach, and (iii) the improvement of opto-electricalmeasurement (periodic power driving light source, and flexible opticalmeasurement channels). This proposed three-year project aims to enhance thisstereoscopic DOI system in the following issues:(1)to extend the implementation of DOpIm imaging program including 3D edgepreserving regularization, and the best selection of regularization parameterLamda;(2)to deepen the development of deep-learning based hybrid (model-based anddata-driven) imaging approach that combines radiance and raw image data toreconstruct optical-property images through deep-learning computation, andknowledge transfer deep learning model;(3)to further polish the prone-type DOI system through implementing combinedfrequency driving NIR, employing multi-wavelength NIR, and using line lightsource to reconstruct CAD model of subject to be test.This project will continue to perform human subject experiments for breast tumordetection, and collect clinical data at the Landseed International Hospital.Subsequently, we can examine the sensitivity and specificity for the developedstereoscopic DOI system.