物理模型反算與深度數據模型競合研究於三維非圓形斷面之擴散光造影驗證;Co-Opetition Study between Physical-Model Inverse Computation and Deep-Data Model to Verify the Diffuse Optical Imaging of 3d Subjects with Noncircular Sections

NCUIR > Engineering College > Departmant of Mechanical Engineering > Research Project > Item 987654321/97038

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/97038

Title:	物理模型反算與深度數據模型競合研究於三維非圓形斷面之擴散光造影驗證;Co-Opetition Study between Physical-Model Inverse Computation and Deep-Data Model to Verify the Diffuse Optical Imaging of 3d Subjects with Noncircular Sections
Authors:	潘敏俊;許雅芬
Contributors:	國立中央大學機械工程學系
Keywords:	擴散光斷層造影;腫瘤篩檢及診斷;物理模型反算;深度遷移學習;非圓形斷面影像重建;複頻電源驅動光源;線光源輪廓估測;;diffuse optical tomographic imaging;tumor screening and diagnosis;physical-model inverse computation;deep transfer learning;noncircular cross-section image reconstruction;combined-frequency power driving NIR;profile evaluation using line light projection.
Date:	2025-07-31
Issue Date:	2025-08-07 17:27:40 (UTC+8)
Publisher:	國家科學及技術委員會(本會)
Abstract:	本研究將發展成可進行臨床探討的大斷面造影設備。近年持續開發的俯臥式成像系統，經生策會獲選2021、及2019國家新創精進獎，技術項目為“順應式同步多頻率擴散光學斷層造影系統”、“俯臥式擴散光學斷層影像系統及技術”。經過三次加值型國合及短期出國研究，本計畫繼續在探討並持平處理當前DOI影像計算所採取模型反算、及深度學習網路二者間的競合議題，研究中搭配所獨有的俯臥式(彈性光通道)光資訊掃描機台，進行仿體實驗驗證非圓形斷面組織光學係數造影。本計畫探索議題的系統完整性為國內僅有，在國際學術競爭亦有其能見度。
Relation:	財團法人國家實驗研究院科技政策研究與資訊中心
Appears in Collections:	[Departmant of Mechanical Engineering ] Research Project

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