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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Format: | Article |
Language: | English |
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Wolters Kluwer Medknow Publications
2011-01-01
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Series: | Journal of Medical Physics |
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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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format | Article |
id | doaj.art-821fd5bae1f9463bb63d232d9bf6a198 |
institution | Directory Open Access Journal |
issn | 0971-6203 1998-3913 |
language | English |
last_indexed | 2024-12-12T03:00:11Z |
publishDate | 2011-01-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
series | Journal of Medical Physics |
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 |
work_keys_str_mv | AT cvijayakumar developmentofimageprocessingsoftwareforautomaticsegmentationofbraintumorsinmrimages AT damayantichandrashekhargharpure developmentofimageprocessingsoftwareforautomaticsegmentationofbraintumorsinmrimages |