Journal of Medical Physics
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ORIGINAL ARTICLE
Year : 2011  |  Volume : 36  |  Issue : 3  |  Page : 147-158

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


1 Department of Radiodiagnosis and Imaging, Armed Forces Medical College, Pune, Maharashtra, India
2 Department of Electronic Science, University of Pune, Pune, Maharashtra, India

Correspondence Address:
C Vijayakumar
Department of Radiodiagnosis and Imaging, Armed Forces Medical College, Sholapur Road, Pune, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0971-6203.83481

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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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