Computational methods for analysis of human breast tumor tissue in optical coherence tomography images

Adam M. Zysk; Stephen A. Boppart

doi:10.1117/1.2358964

Computational methods for analysis of human breast tumor tissue in optical coherence tomography images

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Abstract

Optical coherence tomography (OCT) has been demonstrated as a promising means of identifying the boundaries between normal and diseased breast tissue. This capability has yielded promise for the development of OCT techniques for biopsy guidance, surgical margin assessment, and minimally invasive evaluation of disease states. We present methods for the assessment of human breast tissue based on spatial and Fourier-domain analysis. Derived from preliminary OCT data, these methods are aimed at the development of automated diagnostic tools that will aid in the translation of this technology into the clinical environment.

Original language	English (US)
Article number	054015
Journal	Journal of biomedical optics
Volume	11
Issue number	5
DOIs	https://doi.org/10.1117/1.2358964
State	Published - Sep 2006

Keywords

Breast cancer
Image processing
Optical coherence tomography

ASJC Scopus subject areas

Biomedical Engineering
Biomaterials
Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging
Radiological and Ultrasound Technology
Clinical Biochemistry

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10.1117/1.2358964

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title = "Computational methods for analysis of human breast tumor tissue in optical coherence tomography images",

abstract = "Optical coherence tomography (OCT) has been demonstrated as a promising means of identifying the boundaries between normal and diseased breast tissue. This capability has yielded promise for the development of OCT techniques for biopsy guidance, surgical margin assessment, and minimally invasive evaluation of disease states. We present methods for the assessment of human breast tissue based on spatial and Fourier-domain analysis. Derived from preliminary OCT data, these methods are aimed at the development of automated diagnostic tools that will aid in the translation of this technology into the clinical environment.",

keywords = "Breast cancer, Image processing, Optical coherence tomography",

author = "Zysk, {Adam M.} and Boppart, {Stephen A.}",

note = "Funding Information: The authors acknowledge the assistance of Eric J. Chaney, Freddy T. Nguyen, and the staff and physicians at Carle Foundation Hospital and Carle Clinic Association, including Drs. Patricia Johnson, Charles Wisseman, and Frank Bellafiore. This work was supported in part by grants from the UIUC-UIC Intercampus Research Initiative in Biotechnology (S.A.B.) and the National Institutes of Health (NIBIB, 1 R01 EB00108-1, S.A.B.). Funding was also provided by the National Science Foundation through the East Asia and Pacific Summer Institutes for U.S. Graduate Students (0413596). Additional information can be found at http:// biophotonics.uiuc.edu",

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month = sep,

doi = "10.1117/1.2358964",

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AU - Zysk, Adam M.

AU - Boppart, Stephen A.

N1 - Funding Information: The authors acknowledge the assistance of Eric J. Chaney, Freddy T. Nguyen, and the staff and physicians at Carle Foundation Hospital and Carle Clinic Association, including Drs. Patricia Johnson, Charles Wisseman, and Frank Bellafiore. This work was supported in part by grants from the UIUC-UIC Intercampus Research Initiative in Biotechnology (S.A.B.) and the National Institutes of Health (NIBIB, 1 R01 EB00108-1, S.A.B.). Funding was also provided by the National Science Foundation through the East Asia and Pacific Summer Institutes for U.S. Graduate Students (0413596). Additional information can be found at http:// biophotonics.uiuc.edu

PY - 2006/9

Y1 - 2006/9

N2 - Optical coherence tomography (OCT) has been demonstrated as a promising means of identifying the boundaries between normal and diseased breast tissue. This capability has yielded promise for the development of OCT techniques for biopsy guidance, surgical margin assessment, and minimally invasive evaluation of disease states. We present methods for the assessment of human breast tissue based on spatial and Fourier-domain analysis. Derived from preliminary OCT data, these methods are aimed at the development of automated diagnostic tools that will aid in the translation of this technology into the clinical environment.

AB - Optical coherence tomography (OCT) has been demonstrated as a promising means of identifying the boundaries between normal and diseased breast tissue. This capability has yielded promise for the development of OCT techniques for biopsy guidance, surgical margin assessment, and minimally invasive evaluation of disease states. We present methods for the assessment of human breast tissue based on spatial and Fourier-domain analysis. Derived from preliminary OCT data, these methods are aimed at the development of automated diagnostic tools that will aid in the translation of this technology into the clinical environment.

KW - Breast cancer

KW - Image processing

KW - Optical coherence tomography

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Computational methods for analysis of human breast tumor tissue in optical coherence tomography images

Abstract

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ASJC Scopus subject areas

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