TY - GEN
T1 - Three dimensional near infrared tomography of the breast
AU - Eames, Matthew E.
AU - Pogue, Brian W.
AU - Carpenter, Colin M.
AU - Dehghani, Hamid
PY - 2007
Y1 - 2007
N2 - Near-Infrared (NIR) Diffuse Optical Tomography (DOT) is a non-invasive imaging technique which is used to obtain functional and physiological images of soft tissue, such as the female breast, specifically for the detection and characterization of breast cancer. The vast majority of the work to date has been limited to two dimensional (2D) models which have provided valuable insight into tissue function and physiology enabling a better understanding of tumor development and treatment. Although the 2D image reconstruction approach is fast and computationally efficient, it has limitations as it does not correctly represent the volume under investigation and therefore do not provide the most accurate model for image reconstruction, Three dimensional (3D) modeling and image reconstruction is becoming more accessible through the development of sophisticated numerical models and computationally fast algorithms, A robust and general method is presented which reconstructs 3D functional images using a more accurate and realistic spectral model of 3D light propagation in tissue. Results from a single patient example are presented to demonstrate the clinical importance of 3D image reconstruction in optical tomography for the detection and characterization of breast cancer.
AB - Near-Infrared (NIR) Diffuse Optical Tomography (DOT) is a non-invasive imaging technique which is used to obtain functional and physiological images of soft tissue, such as the female breast, specifically for the detection and characterization of breast cancer. The vast majority of the work to date has been limited to two dimensional (2D) models which have provided valuable insight into tissue function and physiology enabling a better understanding of tumor development and treatment. Although the 2D image reconstruction approach is fast and computationally efficient, it has limitations as it does not correctly represent the volume under investigation and therefore do not provide the most accurate model for image reconstruction, Three dimensional (3D) modeling and image reconstruction is becoming more accessible through the development of sophisticated numerical models and computationally fast algorithms, A robust and general method is presented which reconstructs 3D functional images using a more accurate and realistic spectral model of 3D light propagation in tissue. Results from a single patient example are presented to demonstrate the clinical importance of 3D image reconstruction in optical tomography for the detection and characterization of breast cancer.
UR - http://www.scopus.com/inward/record.url?scp=36249024240&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:36249024240
SN - 0819467731
SN - 9780819467737
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Diffuse Optical Imaging of Tissue
T2 - Diffuse Optical Imaging of Tissue
Y2 - 19 June 2007 through 21 June 2007
ER -