Automatic Spine Curvature Estimation from X-ray Images of a Mouse Model

Al Okashi, Omar and Du, Hongbo and Al-Assam, Hisham (2017) Automatic Spine Curvature Estimation from X-ray Images of a Mouse Model. Computer Methods and Programs in Biomedicine, 140. pp. 175-184. ISSN 0169-2607

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Automatic segmentation and quantification of skeletal structures has a variety of applications for biological research. Although solutions for good quality X-ray images of human skeletal structures are in existence in recent years, automatic solutions working on poor quality X-ray images of mice are rare. This paper proposes a fully automatic solution for spine segmentation and curvature quantification from X-ray images of mice. The proposed solution consists of three stages, namely preparation of the region of interest, spine segmentation, and spine curvature quantification, aiming to overcome technical difficulties in processing the X-ray images. We examined six different automatic measurements for quantifying the spine curvature through tests on a sample data set of 100 images. The experimental results show that some of the automatic measures are very close to and consistent with the best manual measurement results by annotators. The test results also demonstrate the effectiveness of the curvature quantification produced by the proposed solution in distinguishing abnormally shaped spines from the normal ones with accuracy up to 98.6%.

Item Type: Article
Additional Information: Accepted 21 December 2016
Uncontrolled Keywords: Spine; X-ray; Segmentation; Curvature; Classification
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Computing
Depositing User: Hisham Al Assam
Date Deposited: 10 Mar 2020 16:10
Last Modified: 10 Mar 2020 16:10

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