Development of image-processing software for automatic segmentation of brain tumors in MR images

Most of the commercially available software for brain tumor segmentation have limited functionality and frequently lack the careful validation that is required for clinical studies. We have developed an image-analysis software package called ′Prometheus,′ which performs neural system-based segmentat...

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Main Authors: C Vijayakumar, Damayanti Chandrashekhar Gharpure
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2011-01-01
Series:Journal of Medical Physics
Subjects:
Online Access:http://www.jmp.org.in/article.asp?issn=0971-6203;year=2011;volume=36;issue=3;spage=147;epage=158;aulast=Vijayakumar
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author C Vijayakumar
Damayanti Chandrashekhar Gharpure
author_facet C Vijayakumar
Damayanti Chandrashekhar Gharpure
author_sort C Vijayakumar
collection DOAJ
description Most of the commercially available software for brain tumor segmentation have limited functionality and frequently lack the careful validation that is required for clinical studies. We have developed an image-analysis software package called ′Prometheus,′ which performs neural system-based segmentation operations on MR images using pre-trained information. The software also has the capability to improve its segmentation performance by using the training module of the neural system. The aim of this article is to present the design and modules of this software. The segmentation module of Prometheus can be used primarily for image analysis in MR images. Prometheus was validated against manual segmentation by a radiologist and its mean sensitivity and specificity was found to be 85.71±4.89% and 93.2±2.87%, respectively. Similarly, the mean segmentation accuracy and mean correspondence ratio was found to be 92.35±3.37% and 0.78±0.046, respectively.
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spelling doaj.art-821fd5bae1f9463bb63d232d9bf6a1982022-12-22T00:40:38ZengWolters Kluwer Medknow PublicationsJournal of Medical Physics0971-62031998-39132011-01-0136314715810.4103/0971-6203.83481Development of image-processing software for automatic segmentation of brain tumors in MR imagesC VijayakumarDamayanti Chandrashekhar GharpureMost of the commercially available software for brain tumor segmentation have limited functionality and frequently lack the careful validation that is required for clinical studies. We have developed an image-analysis software package called ′Prometheus,′ which performs neural system-based segmentation operations on MR images using pre-trained information. The software also has the capability to improve its segmentation performance by using the training module of the neural system. The aim of this article is to present the design and modules of this software. The segmentation module of Prometheus can be used primarily for image analysis in MR images. Prometheus was validated against manual segmentation by a radiologist and its mean sensitivity and specificity was found to be 85.71±4.89% and 93.2±2.87%, respectively. Similarly, the mean segmentation accuracy and mean correspondence ratio was found to be 92.35±3.37% and 0.78±0.046, respectively.http://www.jmp.org.in/article.asp?issn=0971-6203;year=2011;volume=36;issue=3;spage=147;epage=158;aulast=VijayakumarBrain tumorsimage processingmedical image segmentationneural networks
spellingShingle C Vijayakumar
Damayanti Chandrashekhar Gharpure
Development of image-processing software for automatic segmentation of brain tumors in MR images
Journal of Medical Physics
Brain tumors
image processing
medical image segmentation
neural networks
title Development of image-processing software for automatic segmentation of brain tumors in MR images
title_full Development of image-processing software for automatic segmentation of brain tumors in MR images
title_fullStr Development of image-processing software for automatic segmentation of brain tumors in MR images
title_full_unstemmed Development of image-processing software for automatic segmentation of brain tumors in MR images
title_short Development of image-processing software for automatic segmentation of brain tumors in MR images
title_sort development of image processing software for automatic segmentation of brain tumors in mr images
topic Brain tumors
image processing
medical image segmentation
neural networks
url http://www.jmp.org.in/article.asp?issn=0971-6203;year=2011;volume=36;issue=3;spage=147;epage=158;aulast=Vijayakumar
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