Application of the Reduced Basis Method to Hyperspectral Diffuse Optical Tomography
作者： Rachel Grotheer , Taufiquar Khan
DOI:
关键词: Hyperspectral imaging 、 Diffuse optical imaging 、 Optics 、 Basis (linear algebra) 、 Remote sensing 、 Computer science
摘要:
参考文章(5)
John Cooper, Sparsity Regularization in Diffuse Optical Tomography ,(2012)
Guolan Lu, Baowei Fei, Medical hyperspectral imaging: a review Journal of Biomedical Optics. ,vol. 19, pp. 010901- 010901 ,(2014) , 10.1117/1.JBO.19.1.010901
Mohammad Reza Hajihashemi, Stephen R. Grobmyer, Samer Z. Al-Quran, Huabei Jiang, Noninvasive Evaluation of Nuclear Morphometry in Breast Lesions Using Multispectral Diffuse Optical Tomography PLoS ONE. ,vol. 7, pp. e45714- ,(2012) , 10.1371/JOURNAL.PONE.0045714
Michael Jermyn, Hamid Ghadyani, Michael A. Mastanduno, Wes Turner, Scott C. Davis, Hamid Dehghani, Brian W. Pogue, Fast segmentation and high-quality three-dimensional volume mesh creation from medical images for diffuse optical tomography. Journal of Biomedical Optics. ,vol. 18, pp. 086007- 086007 ,(2013) , 10.1117/1.JBO.18.8.086007
Jan S. Hesthaven, Benjamin Stamm, Shun Zhang, EFFICIENT GREEDY ALGORITHMS FOR HIGH-DIMENSIONAL PARAMETER SPACES WITH APPLICATIONS TO EMPIRICAL INTERPOLATION AND REDUCED BASIS METHODS ∗ Mathematical Modelling and Numerical Analysis. ,vol. 48, pp. 259- 283 ,(2011) , 10.1051/M2AN/2013100