Spatial distribution of adipose compartments size, shape and orientation in a CT breast image of a mastectomy specimen

Abdullah Al Zubaer Imran; Predrag R. Bakic; David D. Pokrajac

doi:10.1109/SPMB.2015.7405460

Spatial distribution of adipose compartments size, shape and orientation in a CT breast image of a mastectomy specimen

Abdullah Al Zubaer Imran, Predrag R. Bakic, David D. Pokrajac

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

7 Scopus citations

Abstract

Development of efficient clinical breast imaging system has become a major concern in medical imaging today. Recent advancement in 3D imaging has allowed detailed analysis of breast anatomic structures. To assist with preclinical validation of breast imaging systems, high resolution anthropomorphic software phantoms have been introduced [1]. The phantoms developed at the University of Pennsylvania and Delaware State University simulate the breast outline covered by a skin layer, and the breast interior matrix of Cooper's ligaments which define compartments filled with adipose or fibro-glandular (dense) tissue. The simulation algorithms require input parameters such as number of compartments, distribution, and size and shape of adipose compartments. To obtain more realistic phantoms, these simulation parameters should be inferred from clinical images. In this study, we have investigated the distribution and spatial placement of adipose compartments in reconstructed CT images of a mastectomy specimen.

Original language	English
Title of host publication	2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings
ISBN (Electronic)	9781509013500
DOIs	https://doi.org/10.1109/SPMB.2015.7405460
State	Published - Feb 11 2016
Event	IEEE Signal Processing in Medicine and Biology Symposium - Philadelphia, United States Duration: Dec 12 2015 → …

Publication series

Name	2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings

Conference

Conference	IEEE Signal Processing in Medicine and Biology Symposium
Country/Territory	United States
City	Philadelphia
Period	12/12/15 → …

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

Biomedical Engineering
Signal Processing
Radiology Nuclear Medicine and imaging
Health Informatics

Access to Document

10.1109/SPMB.2015.7405460

Cite this

Imran, A. A. Z., Bakic, P. R., & Pokrajac, D. D. (2016). Spatial distribution of adipose compartments size, shape and orientation in a CT breast image of a mastectomy specimen. In 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings Article 7405460 (2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings). https://doi.org/10.1109/SPMB.2015.7405460

@inproceedings{b5933491f494420b94964d55a681d685,

title = "Spatial distribution of adipose compartments size, shape and orientation in a CT breast image of a mastectomy specimen",

abstract = "Development of efficient clinical breast imaging system has become a major concern in medical imaging today. Recent advancement in 3D imaging has allowed detailed analysis of breast anatomic structures. To assist with preclinical validation of breast imaging systems, high resolution anthropomorphic software phantoms have been introduced [1]. The phantoms developed at the University of Pennsylvania and Delaware State University simulate the breast outline covered by a skin layer, and the breast interior matrix of Cooper's ligaments which define compartments filled with adipose or fibro-glandular (dense) tissue. The simulation algorithms require input parameters such as number of compartments, distribution, and size and shape of adipose compartments. To obtain more realistic phantoms, these simulation parameters should be inferred from clinical images. In this study, we have investigated the distribution and spatial placement of adipose compartments in reconstructed CT images of a mastectomy specimen.",

author = "Imran, {Abdullah Al Zubaer} and Bakic, {Predrag R.} and Pokrajac, {David D.}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Signal Processing in Medicine and Biology Symposium ; Conference date: 12-12-2015",

year = "2016",

month = feb,

day = "11",

doi = "10.1109/SPMB.2015.7405460",

language = "English",

series = "2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings",

booktitle = "2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings",

}

Imran, AAZ, Bakic, PR & Pokrajac, DD 2016, Spatial distribution of adipose compartments size, shape and orientation in a CT breast image of a mastectomy specimen. in 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings., 7405460, 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings, IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, United States, 12/12/15. https://doi.org/10.1109/SPMB.2015.7405460

Spatial distribution of adipose compartments size, shape and orientation in a CT breast image of a mastectomy specimen. / Imran, Abdullah Al Zubaer; Bakic, Predrag R.; Pokrajac, David D.
2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings. 2016. 7405460 (2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings).

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

TY - GEN

T1 - Spatial distribution of adipose compartments size, shape and orientation in a CT breast image of a mastectomy specimen

AU - Imran, Abdullah Al Zubaer

AU - Bakic, Predrag R.

AU - Pokrajac, David D.

PY - 2016/2/11

Y1 - 2016/2/11

N2 - Development of efficient clinical breast imaging system has become a major concern in medical imaging today. Recent advancement in 3D imaging has allowed detailed analysis of breast anatomic structures. To assist with preclinical validation of breast imaging systems, high resolution anthropomorphic software phantoms have been introduced [1]. The phantoms developed at the University of Pennsylvania and Delaware State University simulate the breast outline covered by a skin layer, and the breast interior matrix of Cooper's ligaments which define compartments filled with adipose or fibro-glandular (dense) tissue. The simulation algorithms require input parameters such as number of compartments, distribution, and size and shape of adipose compartments. To obtain more realistic phantoms, these simulation parameters should be inferred from clinical images. In this study, we have investigated the distribution and spatial placement of adipose compartments in reconstructed CT images of a mastectomy specimen.

AB - Development of efficient clinical breast imaging system has become a major concern in medical imaging today. Recent advancement in 3D imaging has allowed detailed analysis of breast anatomic structures. To assist with preclinical validation of breast imaging systems, high resolution anthropomorphic software phantoms have been introduced [1]. The phantoms developed at the University of Pennsylvania and Delaware State University simulate the breast outline covered by a skin layer, and the breast interior matrix of Cooper's ligaments which define compartments filled with adipose or fibro-glandular (dense) tissue. The simulation algorithms require input parameters such as number of compartments, distribution, and size and shape of adipose compartments. To obtain more realistic phantoms, these simulation parameters should be inferred from clinical images. In this study, we have investigated the distribution and spatial placement of adipose compartments in reconstructed CT images of a mastectomy specimen.

UR - http://www.scopus.com/inward/record.url?scp=84963963827&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963963827&partnerID=8YFLogxK

U2 - 10.1109/SPMB.2015.7405460

DO - 10.1109/SPMB.2015.7405460

M3 - Conference contribution

AN - SCOPUS:84963963827

T3 - 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings

BT - 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings

T2 - IEEE Signal Processing in Medicine and Biology Symposium

Y2 - 12 December 2015

ER -

Spatial distribution of adipose compartments size, shape and orientation in a CT breast image of a mastectomy specimen

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this