Deep Ensemble Model for Quantitative Optical Property and Chromophore Concentration Images of Biological Tissues

• Published in: IEEE transactions on image processing Vol. 34; pp. 4999 - 5008
• Main Authors: Yan, Bingbao, Song, Bowen, Ge, Chang, Yin, Xinman, Jia, Wenchao, Mu, Gen, Zhao, Yanyu
• Format: Journal Article
• Language: English
• Published: United States IEEE 2025
• Subjects: Accuracy; Algorithms; Animals; Biomedical optical imaging; Deep leaning; Deep Learning; Demodulation; Frequency division multiplexing; Frequency measurement; Humans; image processing; Image Processing, Computer-Assisted - methods; imaging; Mice; Optical imaging; Optical Imaging - methods; Optical reflection; Optical scattering; Optical variables measurement; Phantoms, Imaging; Reflectivity

The ability to quantify widefield tissue optical properties (OPs, i.e., absorption and scattering) has major implications on the characterization of various physiological and disease processes. However, conventional image processing methods for tissue optical properties are either limited to qualita...