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Proceedings Paper

Automatic pelvis segmentation from x-ray images of a mouse model
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Paper Abstract

The automatic detection and quantification of skeletal structures has a variety of different applications for biological research. Accurate segmentation of the pelvis from X-ray images of mice in a high-throughput project such as the Mouse Genomes Project not only saves time and cost but also helps achieving an unbiased quantitative analysis within the phenotyping pipeline. This paper proposes an automatic solution for pelvis segmentation based on structural and orientation properties of the pelvis in X-ray images. The solution consists of three stages including pre-processing image to extract pelvis area, initial pelvis mask preparation and final pelvis segmentation. Experimental results on a set of 100 X-ray images showed consistent performance of the algorithm. The automated solution overcomes the weaknesses of a manual annotation procedure where intra- and inter-observer variations cannot be avoided.

Paper Details

Date Published: 10 May 2017
PDF: 5 pages
Proc. SPIE 10221, Mobile Multimedia/Image Processing, Security, and Applications 2017, 1022108 (10 May 2017); doi: 10.1117/12.2264803
Show Author Affiliations
Omar M. Al Okashi, The Univ. of Buckingham (United Kingdom)
Hongbo Du, The Univ. of Buckingham (United Kingdom)
Hisham Al-Assam, The Univ. of Buckingham (United Kingdom)

Published in SPIE Proceedings Vol. 10221:
Mobile Multimedia/Image Processing, Security, and Applications 2017
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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