Cargando…
Dimensionality Reduction Based Optimization Algorithm for Sparse 3-D Image Reconstruction in Diffuse Optical Tomography
Diffuse optical tomography (DOT) is a relatively low cost and portable imaging modality for reconstruction of optical properties in a highly scattering medium, such as human tissue. The inverse problem in DOT is highly ill-posed, making reconstruction of high-quality image a critical challenge. Beca...
Autores principales: | Bhowmik, Tanmoy, Liu, Hanli, Ye, Zhou, Oraintara, Soontorn |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778023/ https://www.ncbi.nlm.nih.gov/pubmed/26940661 http://dx.doi.org/10.1038/srep22242 |
Ejemplares similares
-
Array CGH data modeling and smoothing in Stationary Wavelet Packet Transform domain
por: Huang, Heng, et al.
Publicado: (2008) -
Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet
por: Nguyen, Nha, et al.
Publicado: (2010) -
Algorithmic depth compensation improves quantification and noise suppression in functional diffuse optical tomography
por: Tian, Fenghua, et al.
Publicado: (2010) -
A Fast Reconstruction Algorithm for Fluorescence Optical
Diffusion Tomography Based on Preiteration
por: Song, Xiaolei, et al.
Publicado: (2007) -
Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography
por: Feng, Jinchao, et al.
Publicado: (2018)