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Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative

Although interactive segmentation helps lower the degree of human intervention, further upgrade to increase the efficiency and intuitiveness of interactive segmentation method remains requisite. Invariably, newly acquired medical images are not segmented instantly by radiologists due to heavy work l...

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Main Authors: Gan, H. S., Tan, T. S., Karim, A. H. A., Sayuti, K. A., Kadir, M. R. A.
Format: Conference or Workshop Item
Published: 2015
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/59331/
http://dx.doi.org/10.1109/IECBES.2014.7047510
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id my.utm.59331
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spelling my.utm.593312021-12-16T11:06:04Z http://eprints.utm.my/id/eprint/59331/ Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative Gan, H. S. Tan, T. S. Karim, A. H. A. Sayuti, K. A. Kadir, M. R. A. Q Science (General) Although interactive segmentation helps lower the degree of human intervention, further upgrade to increase the efficiency and intuitiveness of interactive segmentation method remains requisite. Invariably, newly acquired medical images are not segmented instantly by radiologists due to heavy work load. Therefore, improvement can be made by capitalizing on the time interval between image acquisition and image segmentation. We proposed to pre-generate non-cartilage seeds during this time interval so the labeling process can be simplified. This enhanced interactive segmentation decreases processing time required by a radiologist without compromising the quality of original segmentation quality. Future works should focus on developing automatic pre-generation of different types of cartilage labels. 2015 Conference or Workshop Item PeerReviewed Gan, H. S. and Tan, T. S. and Karim, A. H. A. and Sayuti, K. A. and Kadir, M. R. A. (2015) Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative. In: 3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014, 8 - 10 December 2014, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/IECBES.2014.7047510
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science (General)
spellingShingle Q Science (General)
Gan, H. S.
Tan, T. S.
Karim, A. H. A.
Sayuti, K. A.
Kadir, M. R. A.
Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative
description Although interactive segmentation helps lower the degree of human intervention, further upgrade to increase the efficiency and intuitiveness of interactive segmentation method remains requisite. Invariably, newly acquired medical images are not segmented instantly by radiologists due to heavy work load. Therefore, improvement can be made by capitalizing on the time interval between image acquisition and image segmentation. We proposed to pre-generate non-cartilage seeds during this time interval so the labeling process can be simplified. This enhanced interactive segmentation decreases processing time required by a radiologist without compromising the quality of original segmentation quality. Future works should focus on developing automatic pre-generation of different types of cartilage labels.
format Conference or Workshop Item
author Gan, H. S.
Tan, T. S.
Karim, A. H. A.
Sayuti, K. A.
Kadir, M. R. A.
author_facet Gan, H. S.
Tan, T. S.
Karim, A. H. A.
Sayuti, K. A.
Kadir, M. R. A.
author_sort Gan, H. S.
title Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative
title_short Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative
title_full Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative
title_fullStr Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative
title_full_unstemmed Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative
title_sort interactive medical image segmentation with seed precomputation system: data from the osteoarthritis initiative
publishDate 2015
url http://eprints.utm.my/id/eprint/59331/
http://dx.doi.org/10.1109/IECBES.2014.7047510
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score 13.211869

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