Segmentation of bone pixels from EROI Image using clustering method for bone age assessment

Rajitha Bakthula; Suneeta Agarwal

doi:10.1117/12.2225146

25 March 2016 Segmentation of bone pixels from EROI Image using clustering method for bone age assessment

Rajitha Bakthula, Suneeta Agarwal

Proceedings Volume 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations; 97890H (2016) https://doi.org/10.1117/12.2225146
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

The bone age of a human can be identified using carpal and epiphysis bones ossification, which is limited to teen age. The accurate age estimation depends on best separation of bone pixels and soft tissue pixels in the ROI image. The traditional approaches like canny, sobel, clustering, region growing and watershed can be applied, but these methods requires proper pre-processing and accurate initial seed point estimation to provide accurate results. Therefore this paper proposes new approach to segment the bone from soft tissue and background pixels. First pixels are enhanced using BPE and the edges are identified by HIPI. Later a K-Means clustering is applied for segmentation. The performance of the proposed approach has been evaluated and compared with the existing methods.

Citation Download Citation

Rajitha Bakthula and Suneeta Agarwal "Segmentation of bone pixels from EROI Image using clustering method for bone age assessment", Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 97890H (25 March 2016); https://doi.org/10.1117/12.2225146

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