Title
Estimation-Theoretic Algorithms And Bounds For Three-Dimensional Polar Shape-Based Imaging In Diffuse Optical Tomography
Abstract
In the case where we have prior knowledge that a medium can be well approximated as being piecewise constant, we can resolve edges in three-dimensional Diffuse Optical Tomography, generally thought of as a low-resolution imaging modality due to the extremely smoothing nature of the diffusion operator. Assuming that the piecewise-constant regions are polar, we parametrize the boundary using spherical harmonics, reducing the inverse problem to a low-dimensional parameter estimation problem. We show how the sensitivity of the forward model to shape variations can be efficiently, directly computed. The resulting shape Jacobian is used both in the context of an estimation algorithm for determining these parameters and as the basis for Cramer-Rao bounds calculations that provide for an understanding of the fundamental limits on our ability to resolve shape structure from DOT data.
Year
DOI
Venue
2006
10.1109/ISBI.2006.1625122
2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3
Keywords
Field
DocType
inverse problems,spherical harmonics,estimation,inverse problem,cramer rao bound,low resolution,tomography,estimation theory,optical imaging,three dimensional,image resolution,diffuse optical tomography,shape,parameter estimation,spherical harmonic
Diffuse optical imaging,Jacobian matrix and determinant,Computer science,Spherical harmonics,Algorithm,Smoothing,Inverse problem,Estimation theory,Optical tomography,Piecewise
Conference
ISSN
Citations 
PageRank 
1945-7928
1
0.37
References 
Authors
4
2
Name
Order
Citations
PageRank
Gregory Boverman1246.76
Eric Miller256480.84