DocumentCode :
1520818
Title :
Approximation of Internal Refractive Index Variation Improves Image Guided Diffuse Optical Tomography of Breast
Author :
Jagannath, Ravi Prasad K ; Yalavarthy, Phaneendra K.
Author_Institution :
Supercomput. Educ. & Res. Centre, Indian Inst. of Sci., Bangalore, India
Volume :
57
Issue :
10
fYear :
2010
Firstpage :
2560
Lastpage :
2563
Abstract :
Effective usage of image guidance by incorporating the refractive index (RI) variation in computational modeling of light propagation in tissue is investigated to assess its impact on optical-property estimation. With the aid of realistic patient breast three-dimensional models, the variation in RI for different regions of tissue under investigation is shown to influence the estimation of optical properties in image-guided diffuse optical tomography (IG-DOT) using numerical simulations. It is also shown that by assuming identical RI for all regions of tissue would lead to erroneous estimation of optical properties. The a priori knowledge of the RI for the segmented regions of tissue in IG-DOT, which is difficult to obtain for the in vivo cases, leads to more accurate estimates of optical properties. Even inclusion of approximated RI values, obtained from the literature, for the regions of tissue resulted in better estimates of optical properties, with values comparable to that of having the correct knowledge of RI for different regions of tissue.
Keywords :
bio-optics; biological organs; biological tissues; biomedical optical imaging; image reconstruction; image registration; light propagation; mammography; medical image processing; optical tomography; refractive index; IG-DOT; RI; breast; image guided diffuse optical tomography; image reconstruction; image registration; internal refractive index variation; light propagation; three-dimensional models; tissue; Biomedical optical imaging; image reconstruction; image registration; optical tomography; Algorithms; Breast; Breast Neoplasms; Computer Simulation; Female; Humans; Image Processing, Computer-Assisted; Models, Biological; Refractometry; Tomography, Optical;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2010.2053368
Filename :
5491101
Link To Document :
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