DocumentCode :
471737
Title :
Parametric Reconstruction Method in Optical Tomograhy
Author :
Gu, Xuejun ; Ren, Kui ; Masciotti, James ; Hielscher, Andreas H.
Author_Institution :
Dept. of Biomed. Eng., Columbia Univ., New York, NY
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
2667
Lastpage :
2670
Abstract :
Optical tomography consists of reconstructing the spatial of a medium´s optical properties from measurements of transmitted light on the boundary of the medium. Mathematically this problem amounts to parameter identification for the radiative transport equation (ERT) or diffusion approximation (DA). However, this type of boundary-value problem is highly ill-posed and the image reconstruction process is often unstable and non-unique. To overcome this problem, we present a parametric inverse method that considerably reduces the number of variables being reconstructed. In this way the amount of measured data is equal or larger than the number of unknowns. Using synthetic data, we show examples that demonstrate how this approach leads to improvements in imaging quality
Keywords :
bio-optics; biological tissues; biomedical optical imaging; image reconstruction; inverse problems; medical image processing; optical tomography; boundary-value problem; diffusion approximation; imaging quality; light propagation; optical properties; optical tomography; parameter identification; parametric inverse method; parametric reconstruction method; radiative transport equation; tissues; Biomedical measurements; Biomedical optical imaging; Equations; Image reconstruction; Magnetic resonance imaging; Nonlinear optics; Optical imaging; Reconstruction algorithms; Tomography; Wavelength measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.260084
Filename :
4462345
Link To Document :
بازگشت