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Title: Optical breast atlas as a testbed for image reconstruction in optical mammography
Authors: Xing, Yidan 
Duan, Yubo 
P. Indurkar, Padmeya
Qiu, Anqi 
Chen, Nanguang 
Keywords: Algorithms
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Issue Date: 1-Dec-2021
Publisher: Springer Science and Business Media LLC
Citation: Xing, Yidan, Duan, Yubo, P. Indurkar, Padmeya, Qiu, Anqi, Chen, Nanguang (2021-12-01). Optical breast atlas as a testbed for image reconstruction in optical mammography. Scientific Data 8 (1) : 257-. ScholarBank@NUS Repository.
Abstract: We present two optical breast atlases for optical mammography, aiming to advance the image reconstruction research by providing a common platform to test advanced image reconstruction algorithms. Each atlas consists of five individual breast models. The first atlas provides breast vasculature surface models, which are derived from human breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data using image segmentation. A finite element-based method is used to deform the breast vasculature models from their natural shapes to generate the second atlas, compressed breast models. Breast compression is typically done in X-ray mammography but also necessary for some optical mammography systems. Technical validation is presented to demonstrate how the atlases can be used to study the image reconstruction algorithms. Optical measurements are generated numerically with compressed breast models and a predefined configuration of light sources and photodetectors. The simulated data is fed into three standard image reconstruction algorithms to reconstruct optical images of the vasculature, which can then be compared with the ground truth to evaluate their performance.
Source Title: Scientific Data
ISSN: 2052-4463
DOI: 10.1038/s41597-021-01037-z
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