Implementation of NIR•FD_PC- the Development of Interactive Medical Imaging Technology

Project Details


Near infrared diffuse optical imaging (NIR DOI), belonging to functional imaging, enables to distinguish tumortissue from normal one, as well as characterize oxygen content distribution. Since middle 90s it has beenapplied in tumor screening and diagnosis for soft tissue such as breast, and performed for clinical trial besidescontinual technical improvement. Based upon the previous twelve-years study in the DOI, especially theproject“Implementation and Validation of Prone-Type 3D Diffuse Optical Imaging System”granted by boththe MOST and this research platform that has been performed for improving the system including (i) the designand implementation of flexible optical channels to fit the test subject/phantom, and (ii) to realize periodic power(like square-wave) driving light source. This project proposed aims to enhance the DOI system in the followingtwo issues:(1) to develop our own DOI image reconstruction software called NIR•FD_PC, like NIRFAST and Toast++developed by Dartmouth College and U. Penn, respectively;(2) to further polish the prone-type DOI system through implementing self-designed analogue power convertedfrom digital periodic signals to drive light source.This project will continue to perform human subject experiments for breast tumor detection, and collect clinicaldata. Subsequently, we can examine the sensitivity and specificity for the developed DOI system.
Effective start/end date1/08/2131/10/22

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 12 - Responsible Consumption and Production


  • Infrared Diffuse Optical Imaging


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.