NEAR INFRARED TOMOGRAPHY IMAGE RECONSTRUCTION WITH A PRIORI STRUCTURAL INFORMATION FROM MRI FOR FEMALE BREAST TUMOR DETECTION: ALGORITHM DEVELOPMENT

2002 ◽  
Author(s):  
B Brooksby ◽  
H Dehghani ◽  
B W Pogue ◽  
K D Paulsen
Keyword(s):  
Image Reconstruction ◽  
Breast Tumor ◽  
Near Infrared ◽  
Structural Information ◽  
A Priori ◽  
Tumor Detection ◽  
Detection Algorithm ◽  
Female Breast ◽  
Tomography Image ◽  
Infrared Tomography

Effect of image reconstruction bias upon spectroscopy-based quantification of chromophorcs in near-infrared tomography

2004 ◽  
Author(s):  
Subhadra Srinivasan ◽  
Brian W. Pogue ◽  
Hamid Dehghani ◽  
Shudong Jiang ◽  
Xiaomei Song ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Near Infrared ◽  
Infrared Tomography

NEAR-INFRARED OPTICAL TOMOGRAPHY IMAGE RECONSTRUCTION APPROACH BASED ON TWO-LAYERED BP NEURAL NETWORK

2009 ◽  
Vol 02 (02) ◽  
pp. 143-147 ◽  
Author(s):  
TING LI ◽  
WEITAO LI ◽  
ZHIYU QIAN
Keyword(s):  
Neural Network ◽  
Image Reconstruction ◽  
Bp Neural Network ◽  
Near Infrared ◽  
Optical Tomography ◽  
Photon Number ◽  
Tumor Location ◽  
Tissue Optical Properties ◽  
Marquardt Algorithm ◽  
Tomography Image

An image-reconstruction approach for optical tomography is presented, in which a two-layered BP neural network is used to distinguish the tumor location. The inverse problem is solved as optimization problem by Femlab software and Levenberg–Marquardt algorithm. The concept of the average optical coefficient is proposed in this paper, which is helpful to understand the distribution of the scattering photon from tumor. The reconstructive [Formula: see text] by the trained network is reasonable for showing the changes of photon number transporting inside tumor tissue. It realized the fast reconstruction of tissue optical properties and provided optical OT with a new method.

Sign in / Sign up

Export Citation Format

Share Document