Coded aperture coherent scatter spectral imaging for assessment of breast cancers: An ex-vivo demonstration

James R. Spencer; Joshua E. Carter; Crystal K. Leung; Shannon J. McCall; Joel A. Greenberg; Anuj J. Kapadia

doi:10.1117/12.2253975

Coded aperture coherent scatter spectral imaging for assessment of breast cancers: An ex-vivo demonstration

James R. Spencer, Joshua E. Carter, Crystal K. Leung, Shannon J. McCall, Joel A. Greenberg, Anuj J. Kapadia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

A Coded Aperture Coherent Scatter Spectral Imaging (CACSSI) system was developed in our group to differentiate cancer and healthy tissue in the breast. The utility of the experimental system was previously demonstrated using anthropomorphic breast phantoms and breast biopsy specimens. Here we demonstrate CACSSI utility in identifying tumor margins in real time using breast lumpectomy specimens. Fresh lumpectomy specimens were obtained from Surgical Pathology with the suspected cancerous area designated on the specimen. The specimens were scanned using CACSSI to obtain spectral scatter signatures at multiple locations within the tumor and surrounding tissue. The spectral reconstructions were matched with literature form-factors to classify the tissue as cancerous or non-cancerous. The findings were then compared against pathology reports to confirm the presence and location of the tumor. The system was found to be capable of consistently differentiating cancerous and healthy regions in the breast with spatial resolution of 5 mm. Tissue classification results from the scanned specimens could be correlated with pathology results. We now aim to develop CACSSI as a clinical imaging tool to aid breast cancer assessment and other diagnostic purposes.

Original language	English
Title of host publication	Medical Imaging 2017
Subtitle of host publication	Physics of Medical Imaging
Editors	Taly Gilat Schmidt, Joseph Y. Lo, Thomas G. Flohr
Publisher	SPIE
ISBN (Electronic)	9781510607095
DOIs	https://doi.org/10.1117/12.2253975
State	Published - 2017
Externally published	Yes
Event	Medical Imaging 2017: Physics of Medical Imaging - Orlando, United States Duration: Feb 13 2017 → Feb 16 2017

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10132
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2017: Physics of Medical Imaging
Country/Territory	United States
City	Orlando
Period	02/13/17 → 02/16/17

Keywords

Breast tissue identification
Coded aperture
Spectral imaging
X-ray coherent scatter
X-ray diffraction imaging

Access to Document

10.1117/12.2253975

Cite this

Spencer, J. R., Carter, J. E., Leung, C. K., McCall, S. J., Greenberg, J. A., & Kapadia, A. J. (2017). Coded aperture coherent scatter spectral imaging for assessment of breast cancers: An ex-vivo demonstration. In T. G. Schmidt, J. Y. Lo, & T. G. Flohr (Eds.), Medical Imaging 2017: Physics of Medical Imaging Article 101324K (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10132). SPIE. https://doi.org/10.1117/12.2253975

@inproceedings{168574b4de4c4e82ac5cc57f74c41223,

title = "Coded aperture coherent scatter spectral imaging for assessment of breast cancers: An ex-vivo demonstration",

abstract = "A Coded Aperture Coherent Scatter Spectral Imaging (CACSSI) system was developed in our group to differentiate cancer and healthy tissue in the breast. The utility of the experimental system was previously demonstrated using anthropomorphic breast phantoms and breast biopsy specimens. Here we demonstrate CACSSI utility in identifying tumor margins in real time using breast lumpectomy specimens. Fresh lumpectomy specimens were obtained from Surgical Pathology with the suspected cancerous area designated on the specimen. The specimens were scanned using CACSSI to obtain spectral scatter signatures at multiple locations within the tumor and surrounding tissue. The spectral reconstructions were matched with literature form-factors to classify the tissue as cancerous or non-cancerous. The findings were then compared against pathology reports to confirm the presence and location of the tumor. The system was found to be capable of consistently differentiating cancerous and healthy regions in the breast with spatial resolution of 5 mm. Tissue classification results from the scanned specimens could be correlated with pathology results. We now aim to develop CACSSI as a clinical imaging tool to aid breast cancer assessment and other diagnostic purposes.",

keywords = "Breast tissue identification, Coded aperture, Spectral imaging, X-ray coherent scatter, X-ray diffraction imaging",

author = "Spencer, {James R.} and Carter, {Joshua E.} and Leung, {Crystal K.} and McCall, {Shannon J.} and Greenberg, {Joel A.} and Kapadia, {Anuj J.}",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Medical Imaging 2017: Physics of Medical Imaging ; Conference date: 13-02-2017 Through 16-02-2017",

year = "2017",

doi = "10.1117/12.2253975",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Schmidt, {Taly Gilat} and Lo, {Joseph Y.} and Flohr, {Thomas G.}",

booktitle = "Medical Imaging 2017",

}

Spencer, JR, Carter, JE, Leung, CK, McCall, SJ, Greenberg, JA & Kapadia, AJ 2017, Coded aperture coherent scatter spectral imaging for assessment of breast cancers: An ex-vivo demonstration. in TG Schmidt, JY Lo & TG Flohr (eds), Medical Imaging 2017: Physics of Medical Imaging., 101324K, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10132, SPIE, Medical Imaging 2017: Physics of Medical Imaging, Orlando, United States, 02/13/17. https://doi.org/10.1117/12.2253975

Coded aperture coherent scatter spectral imaging for assessment of breast cancers: An ex-vivo demonstration. / Spencer, James R.; Carter, Joshua E.; Leung, Crystal K. et al.
Medical Imaging 2017: Physics of Medical Imaging. ed. / Taly Gilat Schmidt; Joseph Y. Lo; Thomas G. Flohr. SPIE, 2017. 101324K (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10132).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Coded aperture coherent scatter spectral imaging for assessment of breast cancers

T2 - Medical Imaging 2017: Physics of Medical Imaging

AU - Spencer, James R.

AU - Carter, Joshua E.

AU - Leung, Crystal K.

AU - McCall, Shannon J.

AU - Greenberg, Joel A.

AU - Kapadia, Anuj J.

PY - 2017

Y1 - 2017

N2 - A Coded Aperture Coherent Scatter Spectral Imaging (CACSSI) system was developed in our group to differentiate cancer and healthy tissue in the breast. The utility of the experimental system was previously demonstrated using anthropomorphic breast phantoms and breast biopsy specimens. Here we demonstrate CACSSI utility in identifying tumor margins in real time using breast lumpectomy specimens. Fresh lumpectomy specimens were obtained from Surgical Pathology with the suspected cancerous area designated on the specimen. The specimens were scanned using CACSSI to obtain spectral scatter signatures at multiple locations within the tumor and surrounding tissue. The spectral reconstructions were matched with literature form-factors to classify the tissue as cancerous or non-cancerous. The findings were then compared against pathology reports to confirm the presence and location of the tumor. The system was found to be capable of consistently differentiating cancerous and healthy regions in the breast with spatial resolution of 5 mm. Tissue classification results from the scanned specimens could be correlated with pathology results. We now aim to develop CACSSI as a clinical imaging tool to aid breast cancer assessment and other diagnostic purposes.

AB - A Coded Aperture Coherent Scatter Spectral Imaging (CACSSI) system was developed in our group to differentiate cancer and healthy tissue in the breast. The utility of the experimental system was previously demonstrated using anthropomorphic breast phantoms and breast biopsy specimens. Here we demonstrate CACSSI utility in identifying tumor margins in real time using breast lumpectomy specimens. Fresh lumpectomy specimens were obtained from Surgical Pathology with the suspected cancerous area designated on the specimen. The specimens were scanned using CACSSI to obtain spectral scatter signatures at multiple locations within the tumor and surrounding tissue. The spectral reconstructions were matched with literature form-factors to classify the tissue as cancerous or non-cancerous. The findings were then compared against pathology reports to confirm the presence and location of the tumor. The system was found to be capable of consistently differentiating cancerous and healthy regions in the breast with spatial resolution of 5 mm. Tissue classification results from the scanned specimens could be correlated with pathology results. We now aim to develop CACSSI as a clinical imaging tool to aid breast cancer assessment and other diagnostic purposes.

KW - Breast tissue identification

KW - Coded aperture

KW - Spectral imaging

KW - X-ray coherent scatter

KW - X-ray diffraction imaging

UR - http://www.scopus.com/inward/record.url?scp=85020485478&partnerID=8YFLogxK

U2 - 10.1117/12.2253975

DO - 10.1117/12.2253975

M3 - Conference contribution

AN - SCOPUS:85020485478

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2017

A2 - Schmidt, Taly Gilat

A2 - Lo, Joseph Y.

A2 - Flohr, Thomas G.

PB - SPIE

Y2 - 13 February 2017 through 16 February 2017

ER -

Spencer JR, Carter JE, Leung CK, McCall SJ, Greenberg JA, Kapadia AJ. Coded aperture coherent scatter spectral imaging for assessment of breast cancers: An ex-vivo demonstration. In Schmidt TG, Lo JY, Flohr TG, editors, Medical Imaging 2017: Physics of Medical Imaging. SPIE. 2017. 101324K. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2253975

Coded aperture coherent scatter spectral imaging for assessment of breast cancers: An ex-vivo demonstration

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this