Efficient medical image segmentation for the visualization of lesions

Niranjan Tallapally; Ramakrishnan Sundaram

doi:10.1117/12.485777

8 August 2003 Efficient medical image segmentation for the visualization of lesions

Niranjan Tallapally, Ramakrishnan Sundaram

Proceedings Volume 5108, Visual Information Processing XII; (2003) https://doi.org/10.1117/12.485777
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Image segmentation plays a crucial role in detecting cancerous lesions in breast images. Typically, the images obtained are large in dimension and it will take considerable time to run traditional image segmentation algorithms to detect and localize lesions. To increase the efficiency of the detection process, this paper develops an efficient image segmentation algorithm which limits its attention to regions where there is the possibility of lesions to exist. The image segmentation algorithm is then applied to these regions to find a threshold value. There are three primary objectives of this paper. First, to design and implement a region of interset algorithm known as the Ranking algorithm. Secondly, to identify whether the regions detected are linked using the Linkage algorithm. Thirdly, to apply the image segmentation algorithm (Otsu algorithm) to these regions to obtain a threshold value. This threshold value is then used for global image segmentation.

Citation Download Citation

Niranjan Tallapally and Ramakrishnan Sundaram "Efficient medical image segmentation for the visualization of lesions", Proc. SPIE 5108, Visual Information Processing XII, (8 August 2003); https://doi.org/10.1117/12.485777

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