DocumentCode
1253017
Title
Optical imaging of anatomical maps derived from magnetic resonance images using time-independent optical sources
Author
Chang, Jenghwa ; Graber, Harry L. ; Koo, Ping Chen ; Aronson, Raphael ; Barbour, San-Lian S. ; Barbour, Randall L.
Author_Institution
Health Sci. Center, State Univ. of New York, Brooklyn, NY, USA
Volume
16
Issue
1
fYear
1997
Firstpage
68
Lastpage
77
Abstract
Presents a model suitable for computing images of absorption cross sections of thick tissue structures illuminated at near infrared (NIR) wavelengths from tomographic projection data. Image reconstruction is accomplished by solving a system of linear equations derived from transport theory. Reconstruction results using different algebraic solvers are shown for anatomical maps of the breast, derived from magnetic resonance imaging data, containing two simulated pathologies, in which case qualitatively good reconstructions were obtained. Evaluation of magnetic resonance (MR) data to optimize NIR optical tomographic imaging methods and to assess the feasibility of a combined MR-optical measurement scheme is discussed.
Keywords
biomedical NMR; image reconstruction; infrared imaging; inverse problems; light absorption; medical image processing; optical tomography; absorption cross sections images; algebraic solvers; anatomical maps; breast; combined MR-optical measurement scheme; linear equations system; magnetic resonance images; medical diagnostic imaging; simulated pathologies; thick tissue structures; time-independent optical sources; tomographic projection data; transport theory; Breast; Electromagnetic wave absorption; Equations; Image reconstruction; Infrared imaging; Magnetic resonance; Magnetic resonance imaging; Optical computing; Optical imaging; Tomography; Adipose Tissue; Algorithms; Anatomy, Cross-Sectional; Breast; Breast Diseases; Computer Simulation; Feasibility Studies; Female; Humans; Image Processing, Computer-Assisted; Infrared Rays; Magnetic Resonance Imaging; Nipples; Phantoms, Imaging; Thorax; Tomography;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.552056
Filename
552056
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