Testing of new imaging algorithm for segmented MR images of breast tissue

Michael V. Klibanov; Thomas R. Lucas; Robert M. Frank; Randall L. Barbour; Harry L. Graber

doi:10.1117/12.280300

Testing of new imaging algorithm for segmented MR images of breast tissue

Michael V. Klibanov
, Thomas R. Lucas
, Robert M. Frank
, Randall L. Barbour
, Harry L. Graber

Pathology

SUNY Downstate Health Sciences University

University of North Carolina at Charlotte

Research output: Contribution to journal › Conference article › peer-review

Abstract

In a paper by the first three authors a new algorithm for Optical Tomography (OT) in the time domain was described and tested for the case of an uniform background medium (see current proceedings). The goal of this paper is to test this method for the case where the background medium is an anatomically accurate optical map of the breast tissue obtained on the basis of a segmented Magnetic Resonance (MR) image. The key innovation of this imaging algorithm lies in a new approach for a novel linearized problem (LP). Such an LP is reduced to a boundary value problem for a coupled system of elliptic partial differential equations, rather than a conventional form of an ill-posed integral equation. The solution of this system in turn is done very rapidly. Thus, this is a fast imaging algorithm.

Original language	English
Pages (from-to)	640-650
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2979
DOIs	https://doi.org/10.1117/12.280300
State	Published - 1997
Event	Proceedings of Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model and Human Studies II - San Jose, CA, United States Duration: Feb 9 1997 → Feb 12 1997

Keywords

Breast cancer diagnosis
Elliptic systems method
MR image
Optical tomography

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10.1117/12.280300

Cite this

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title = "Testing of new imaging algorithm for segmented MR images of breast tissue",

abstract = "In a paper by the first three authors a new algorithm for Optical Tomography (OT) in the time domain was described and tested for the case of an uniform background medium (see current proceedings). The goal of this paper is to test this method for the case where the background medium is an anatomically accurate optical map of the breast tissue obtained on the basis of a segmented Magnetic Resonance (MR) image. The key innovation of this imaging algorithm lies in a new approach for a novel linearized problem (LP). Such an LP is reduced to a boundary value problem for a coupled system of elliptic partial differential equations, rather than a conventional form of an ill-posed integral equation. The solution of this system in turn is done very rapidly. Thus, this is a fast imaging algorithm.",

keywords = "Breast cancer diagnosis, Elliptic systems method, MR image, Optical tomography",

author = "Klibanov, \{Michael V.\} and Lucas, \{Thomas R.\} and Frank, \{Robert M.\} and Barbour, \{Randall L.\} and Graber, \{Harry L.\}",

year = "1997",

doi = "10.1117/12.280300",

language = "English",

volume = "2979",

pages = "640--650",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

note = "Proceedings of Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model and Human Studies II ; Conference date: 09-02-1997 Through 12-02-1997",

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TY - JOUR

T1 - Testing of new imaging algorithm for segmented MR images of breast tissue

AU - Klibanov, Michael V.

AU - Lucas, Thomas R.

AU - Frank, Robert M.

AU - Barbour, Randall L.

AU - Graber, Harry L.

PY - 1997

Y1 - 1997

N2 - In a paper by the first three authors a new algorithm for Optical Tomography (OT) in the time domain was described and tested for the case of an uniform background medium (see current proceedings). The goal of this paper is to test this method for the case where the background medium is an anatomically accurate optical map of the breast tissue obtained on the basis of a segmented Magnetic Resonance (MR) image. The key innovation of this imaging algorithm lies in a new approach for a novel linearized problem (LP). Such an LP is reduced to a boundary value problem for a coupled system of elliptic partial differential equations, rather than a conventional form of an ill-posed integral equation. The solution of this system in turn is done very rapidly. Thus, this is a fast imaging algorithm.

AB - In a paper by the first three authors a new algorithm for Optical Tomography (OT) in the time domain was described and tested for the case of an uniform background medium (see current proceedings). The goal of this paper is to test this method for the case where the background medium is an anatomically accurate optical map of the breast tissue obtained on the basis of a segmented Magnetic Resonance (MR) image. The key innovation of this imaging algorithm lies in a new approach for a novel linearized problem (LP). Such an LP is reduced to a boundary value problem for a coupled system of elliptic partial differential equations, rather than a conventional form of an ill-posed integral equation. The solution of this system in turn is done very rapidly. Thus, this is a fast imaging algorithm.

KW - Breast cancer diagnosis

KW - Elliptic systems method

KW - MR image

KW - Optical tomography

UR - https://www.scopus.com/pages/publications/0031289020

U2 - 10.1117/12.280300

DO - 10.1117/12.280300

M3 - Conference article

SN - 0277-786X

VL - 2979

SP - 640

EP - 650

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Proceedings of Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model and Human Studies II

Y2 - 9 February 1997 through 12 February 1997

ER -

Testing of new imaging algorithm for segmented MR images of breast tissue

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