Development of a semi-automated segmentation framework for thoracic-abdominal organs

Ashrani Aizzuddin Abd Rahni, Emma Lewis, Kevin Wells

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Due to the increasing amount of data available from medical imaging procedures and also the increase in computing power, there has been a rise in the automation of the analysis of such data. A crucial step in the automation of such procedures is accurate segmentation of anatomy. Popular approaches include model based segmentation. However, these approaches require an atlas which may not be generic enough. This paper proposes a semi-automated data-driven segmentation framework of thoracic CT scans. The preliminary results of the framework is presented and discussed with proposals for future work.

Original languageEnglish
Title of host publicationIEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications
PublisherIEEE Computer Society
Pages232-236
Number of pages5
ISBN (Print)9781479902675
DOIs
Publication statusPublished - 2013
Event2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013 - Melaka
Duration: 8 Oct 201310 Oct 2013

Other

Other2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013
CityMelaka
Period8/10/1310/10/13

Fingerprint

Automation
Computerized tomography
Medical imaging

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Cite this

Abd Rahni, A. A., Lewis, E., & Wells, K. (2013). Development of a semi-automated segmentation framework for thoracic-abdominal organs. In IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications (pp. 232-236). [6708009] IEEE Computer Society. https://doi.org/10.1109/ICSIPA.2013.6708009

Development of a semi-automated segmentation framework for thoracic-abdominal organs. / Abd Rahni, Ashrani Aizzuddin; Lewis, Emma; Wells, Kevin.

IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications. IEEE Computer Society, 2013. p. 232-236 6708009.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abd Rahni, AA, Lewis, E & Wells, K 2013, Development of a semi-automated segmentation framework for thoracic-abdominal organs. in IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications., 6708009, IEEE Computer Society, pp. 232-236, 2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013, Melaka, 8/10/13. https://doi.org/10.1109/ICSIPA.2013.6708009
Abd Rahni AA, Lewis E, Wells K. Development of a semi-automated segmentation framework for thoracic-abdominal organs. In IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications. IEEE Computer Society. 2013. p. 232-236. 6708009 https://doi.org/10.1109/ICSIPA.2013.6708009
Abd Rahni, Ashrani Aizzuddin ; Lewis, Emma ; Wells, Kevin. / Development of a semi-automated segmentation framework for thoracic-abdominal organs. IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications. IEEE Computer Society, 2013. pp. 232-236
@inproceedings{90c2b722356d4877b0f1a3a8250dbb37,
title = "Development of a semi-automated segmentation framework for thoracic-abdominal organs",
abstract = "Due to the increasing amount of data available from medical imaging procedures and also the increase in computing power, there has been a rise in the automation of the analysis of such data. A crucial step in the automation of such procedures is accurate segmentation of anatomy. Popular approaches include model based segmentation. However, these approaches require an atlas which may not be generic enough. This paper proposes a semi-automated data-driven segmentation framework of thoracic CT scans. The preliminary results of the framework is presented and discussed with proposals for future work.",
author = "{Abd Rahni}, {Ashrani Aizzuddin} and Emma Lewis and Kevin Wells",
year = "2013",
doi = "10.1109/ICSIPA.2013.6708009",
language = "English",
isbn = "9781479902675",
pages = "232--236",
booktitle = "IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Development of a semi-automated segmentation framework for thoracic-abdominal organs

AU - Abd Rahni, Ashrani Aizzuddin

AU - Lewis, Emma

AU - Wells, Kevin

PY - 2013

Y1 - 2013

N2 - Due to the increasing amount of data available from medical imaging procedures and also the increase in computing power, there has been a rise in the automation of the analysis of such data. A crucial step in the automation of such procedures is accurate segmentation of anatomy. Popular approaches include model based segmentation. However, these approaches require an atlas which may not be generic enough. This paper proposes a semi-automated data-driven segmentation framework of thoracic CT scans. The preliminary results of the framework is presented and discussed with proposals for future work.

AB - Due to the increasing amount of data available from medical imaging procedures and also the increase in computing power, there has been a rise in the automation of the analysis of such data. A crucial step in the automation of such procedures is accurate segmentation of anatomy. Popular approaches include model based segmentation. However, these approaches require an atlas which may not be generic enough. This paper proposes a semi-automated data-driven segmentation framework of thoracic CT scans. The preliminary results of the framework is presented and discussed with proposals for future work.

UR - http://www.scopus.com/inward/record.url?scp=84894157596&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84894157596&partnerID=8YFLogxK

U2 - 10.1109/ICSIPA.2013.6708009

DO - 10.1109/ICSIPA.2013.6708009

M3 - Conference contribution

SN - 9781479902675

SP - 232

EP - 236

BT - IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications

PB - IEEE Computer Society

ER -