ArticleJournal of biomedical optics2016
Multiobjective guided priors improve the accuracy of near-infrared spectral tomography for breast imaging.
Article in Journal of biomedical optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Selfrec-Net: self-supervised deep learning approach for the reconstruction of Cherenkov-excited luminescence scanned tomography.Biomedical optics express · 2023Article
- Deep-learning based image reconstruction for MRI-guided near-infrared spectral tomography.Optica · 2022Article
- Performance assessment of MRI guided continuous wave near-infrared spectral tomography for breast imaging.Biomedical optics express · 2021Article
- Review of in vivo optical molecular imaging and sensing from x-ray excitation.Journal of biomedical optics · 2021Review
- Hybrid time-domain and continuous-wave diffuse optical tomography instrument with concurrent, clinical magnetic resonance imaging for breast cancer imaging.Journal of biomedical optics · 2019Article
- Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography.Journal of biomedical optics · 2018Article
- Weighting function effects in a direct regularization method for image-guided near-infrared spectral tomography of breast cancer.Biomedical optics express · 2018Article
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Authors and funding
6 authors.
Funding
Abstract
An image reconstruction regularization approach for magnetic resonance imaging-guided near-infrared spectral tomography has been developed to improve quantification of total hemoglobin (HbT) and water. By combining prior information from dynamic contrast enhanced (DCE) and diffusion weighted (DW) MR images, the absolute bias errors of HbT and water in the tumor were reduced by 22% and 18%, 21% and 6%, and 10% and 11%, compared to that in the no-prior, DCE- or DW-guided reconstructed images in three-dimensional simulations, respectively. In addition, the apparent contrast values of HbT and water were increased in patient image reconstruction from 1.4 and 1.4 (DCE) or 1.8 and 1.4 (DW) to 4.6 and 1.6.
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Registered trials
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