多波長近紅外光擴散光學斷層影像(Near Infrared Diffuse Optical Imaging, NIR DOI)除能區分不同組織光學係數、也能顯現組織含氧量分布，屬於功能性造影；自90年代中期開始發展迄今，在乳房腫瘤等軟組織篩檢診斷，除技術持續改善、並逐步邁入大量臨床研究。承接實驗室12年來在DOI研究基礎，尤其是這兩年進行的科技部計畫“俯臥式三維光學造影系統暨驗證研究”，發展能適應待測輪廓的彈性光通道、及週期電源(如方波)驅動光源掃描，來改善原俯臥式系統；此兩年期計畫將在三方面探討及改善工作:(1) 對於DOI造影將發展基於模型(model based)及資料驅動(data driven)的混成式演算法(2) 仿NIRFAST及Toast++彙總發展自有的NIR•FD_PC DOI影像反算軟體(3) 俯臥式DOI系統精進(客製化數位轉類比週期電源驅動光源、線光源外形輪廓CAD模型)計畫執行將持續在聯新國際醫院進行乳房腫瘤人體試驗收案，充實實驗數據資料庫，以便對所開發的DOI造影系統驗證其敏感度及專一性。 ;Multi-wavelength near infrared diffuse optical imaging (NIR DOI), belonging to functional imaging, enables to distinguish tumor tissue from normal one, as well as characterize oxygen content distribution. Since middle 90s it has been applied in tumor screening and diagnosis for soft tissue such as breast, and performed for clinical trial besides continual technical improvement. Based upon the previous twelve-years study in the DOI, especially the current two-year project “Study on the Design and Validation for Three-Dimensional Prostrate Optical Imaging System” granted by the MOST that has been performed for improving the prone-type imaging system including (i) the design and implementation of flexible optical channels to fit the test subject/phantom, and (ii) to realize periodic power (like square-wave) driving light source. This two-year project aims to enhance the DOI system in the following three issues:(1) to investigate a model-based and data-driven hybrid computation algorithm;(2) to develop a unique DOI image reconstruction software, like NIRFAST and Toast++;(3) to further polish the prone-type DOI system through implementing self-designed analogue power converted from digital periodic signals to drive light source, and using line light source to reconstruct CAD model of subject to be test.This project will continue to perform human subject experiments for breast tumor detection, and collect clinical data. Subsequently, we can examine the sensitivity and specificity for the developed DOI system.
