Extending optical coherence tomography towards intraoperative breast cancer margin assessment

Ken Foo

doi:10.26182/1hx4-4f93

Extending optical coherence tomography towards intraoperative breast cancer margin assessment

Ken Foo

School of Engineering

Research output: Thesis › Doctoral Thesis

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Abstract

Breast-conserving surgery is one of the main treatments for early-stage breast cancer, however, 15-25% of patients require re-excision due to cancer near the boundary of the excised tissue. One promising solution is optical coherence tomography (OCT), however, malignant tissue is sometimes challenging to differentiate from benign dense tissue. In this thesis, we investigate several OCT contrast enhancement techniques that measure optical and mechanical tissue properties, namely, attenuation imaging, strain imaging, elasticity imaging, and optical palpation. The results indicate that these contrast enhancement techniques can improve the ability of both humans and deep learning models to identify cancer in OCT images.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Kennedy, Brendan, Supervisor Chin, Lixin, Supervisor
Thesis sponsors	Australian Government Research Training Program
Award date	4 Oct 2022
DOIs	https://doi.org/10.26182/1hx4-4f93
Publication status	Unpublished - 2022

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10.26182/1hx4-4f93

THESIS - DOCTOR OF PHILOSOPHY - FOO, Ken Yau - 2022_
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3 Article
1 Chapter

Multi-class classification of breast tissue using optical coherence tomography and attenuation imaging combined via deep learning
FOO, K. Y., Newman, K., Fang, Q., Gong, P., ISMAIL, H. M., LAKHIANI, D. D., Zilkens, R., DESSAUVAGIE, B. F., Latham, B., SAUNDERS, C. M., Chin, L. & KENNEDY, B. F., 1 Jun 2022, In: Biomedical Optics Express. 13, 6, p. 3380-3400 21 p.
Research output: Contribution to journal › Article › peer-review

Open Access
13 Citations (Scopus)
Optical palpation for tumor margin assessment in breast-conserving surgery
Foo, K. Y., Kennedy, K. M., Zilkens, R., Allen, W. M., Fang, Q., Sanderson, R. W., Anstie, J., Dessauvagie, B. F., Latham, B., Saunders, C. M., Chin, L. & Kennedy, B. F., 2021, In: Biomedical Optics Express. 12, 3, p. 1666-1682 17 p.
Research output: Contribution to journal › Article › peer-review

Open Access
9 Citations (Scopus)
Three-dimensional mapping of the attenuation coefficient in optical coherence tomography to enhance breast tissue microarchitecture contrast
Foo, K. Y., Chin, L., Zilkens, R., Lakhiani, D. D., Fang, Q., Sanderson, R., Dessauvagie, B. F., Latham, B., McLaren, S., Saunders, C. M. & Kennedy, B. F., 1 Jun 2020, In: Journal of Biophotonics. 13, 6, e201960201.
Research output: Contribution to journal › Article › peer-review

Open Access
16 Citations (Scopus)

Cite this

@phdthesis{01bb3a03c4ab4ee9be98d35062d06b4a,

title = "Extending optical coherence tomography towards intraoperative breast cancer margin assessment",

abstract = "Breast-conserving surgery is one of the main treatments for early-stage breast cancer, however, 15-25% of patients require re-excision due to cancer near the boundary of the excised tissue. One promising solution is optical coherence tomography (OCT), however, malignant tissue is sometimes challenging to differentiate from benign dense tissue. In this thesis, we investigate several OCT contrast enhancement techniques that measure optical and mechanical tissue properties, namely, attenuation imaging, strain imaging, elasticity imaging, and optical palpation. The results indicate that these contrast enhancement techniques can improve the ability of both humans and deep learning models to identify cancer in OCT images.",

keywords = "Elastography, Attenuation imaging., Breast cancer, Margin assessment, Contrast enhancement, Diagnostic accuracy, Deep learning, optical coherence tomography",

author = "Ken Foo",

year = "2022",

doi = "10.26182/1hx4-4f93",

language = "English",

school = "The University of Western Australia",

}

TY - BOOK

T1 - Extending optical coherence tomography towards intraoperative breast cancer margin assessment

AU - Foo, Ken

PY - 2022

Y1 - 2022

N2 - Breast-conserving surgery is one of the main treatments for early-stage breast cancer, however, 15-25% of patients require re-excision due to cancer near the boundary of the excised tissue. One promising solution is optical coherence tomography (OCT), however, malignant tissue is sometimes challenging to differentiate from benign dense tissue. In this thesis, we investigate several OCT contrast enhancement techniques that measure optical and mechanical tissue properties, namely, attenuation imaging, strain imaging, elasticity imaging, and optical palpation. The results indicate that these contrast enhancement techniques can improve the ability of both humans and deep learning models to identify cancer in OCT images.

AB - Breast-conserving surgery is one of the main treatments for early-stage breast cancer, however, 15-25% of patients require re-excision due to cancer near the boundary of the excised tissue. One promising solution is optical coherence tomography (OCT), however, malignant tissue is sometimes challenging to differentiate from benign dense tissue. In this thesis, we investigate several OCT contrast enhancement techniques that measure optical and mechanical tissue properties, namely, attenuation imaging, strain imaging, elasticity imaging, and optical palpation. The results indicate that these contrast enhancement techniques can improve the ability of both humans and deep learning models to identify cancer in OCT images.

KW - Elastography

KW - Attenuation imaging.

KW - Breast cancer

KW - Margin assessment

KW - Contrast enhancement

KW - Diagnostic accuracy

KW - Deep learning

KW - optical coherence tomography

U2 - 10.26182/1hx4-4f93

DO - 10.26182/1hx4-4f93

M3 - Doctoral Thesis

ER -

Extending optical coherence tomography towards intraoperative breast cancer margin assessment

Abstract

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Research output

Multi-class classification of breast tissue using optical coherence tomography and attenuation imaging combined via deep learning

Optical palpation for tumor margin assessment in breast-conserving surgery

Three-dimensional mapping of the attenuation coefficient in optical coherence tomography to enhance breast tissue microarchitecture contrast

Cite this