TY - GEN
T1 - Near infrared optical tomographic imaging of fluid containing tissues
AU - Hielscher, A. H.
AU - Abdoulaev, G.
AU - Klose, A.
AU - Bluestone, A.
AU - Lasker, J.
N1 - Publisher Copyright:
© 2002 IEEE.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2002
Y1 - 2002
N2 - In recent years near-infrared optical tomographic imaging (OTI) has made big strides towards becoming a clinically relevant medical imaging modality. Imaging of dynamic changes in blood parameters, functional brain imaging, and breast imaging are the most advanced areas of application of this novel technique. In this study we focus on difficulties that are encountered when OTI is employed for imaging tissues that contain fluid-filled regions. Examples of such tissues are the brain, which contains low scattering cerebrospinal fluids, joints, which enclose translucent synovial fluids, and the maternal abdomen, which is filled with amniotic fluid. In these cases widely accepted image reconstruction schemes that rely on the diffusion approximation have limited applicability, and more advanced model-based iterative image reconstructions methods that make use of the equation of radiative transfer promise more accurate results.
AB - In recent years near-infrared optical tomographic imaging (OTI) has made big strides towards becoming a clinically relevant medical imaging modality. Imaging of dynamic changes in blood parameters, functional brain imaging, and breast imaging are the most advanced areas of application of this novel technique. In this study we focus on difficulties that are encountered when OTI is employed for imaging tissues that contain fluid-filled regions. Examples of such tissues are the brain, which contains low scattering cerebrospinal fluids, joints, which enclose translucent synovial fluids, and the maternal abdomen, which is filled with amniotic fluid. In these cases widely accepted image reconstruction schemes that rely on the diffusion approximation have limited applicability, and more advanced model-based iterative image reconstructions methods that make use of the equation of radiative transfer promise more accurate results.
UR - http://www.scopus.com/inward/record.url?scp=84948689595&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84948689595&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2002.1029195
DO - 10.1109/ISBI.2002.1029195
M3 - Conference contribution
AN - SCOPUS:84948689595
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 70
EP - 73
BT - 2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings
PB - IEEE Computer Society
T2 - IEEE International Symposium on Biomedical Imaging, ISBI 2002
Y2 - 7 July 2002 through 10 July 2002
ER -