Please use this identifier to cite or link to this item: https://doi.org/10.1109/WACV.2009.5403127
Title: Medical volume image summarization
Authors: Ding, F.
Li, H.
Cheng, Y.
Leow, W.K. 
Issue Date: 2009
Source: Ding, F.,Li, H.,Cheng, Y.,Leow, W.K. (2009). Medical volume image summarization. 2009 Workshop on Applications of Computer Vision, WACV 2009. ScholarBank@NUS Repository. https://doi.org/10.1109/WACV.2009.5403127
Abstract: Medical volume images are large in size. They cannot be efficiently transmitted and visualized as candidates for medical image retrieval and relevance feedback. On the other hand, 2D images that are small in size and rich in 3D details can be efficiently transmitted and visualized as candidates. This paper presents an algorithm that summarizes the 3D details in a volume image into a single 2D image. It applies soft segmentation to highlight the anatomy of interest in the volume, and automatically selects a salient view that contains the most amount of semantic information as the summarization of the volume image. Experimental results show that the proposed method can well summarize medical volume images of different anatomical structures. Compared to representation of volume images using 2D slices and conventional volume rendering, our summarized images are rich in 3D details, and they can be transmitted and visualized very efficiently. © 2009 IEEE.
Source Title: 2009 Workshop on Applications of Computer Vision, WACV 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/41672
ISBN: 9781424454976
DOI: 10.1109/WACV.2009.5403127
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