Morphology-based interslice interpolation on manual segmentations of joint bones and muscles in MRI

Yang, Zhengyi, Crozier, S., Engstrom, C., Xia, Ying, Neubert, A., Brancato, T., Schwarz, R., Lauer, L., Fripp, J., Chandra, S., & Salvado, O. (2012) Morphology-based interslice interpolation on manual segmentations of joint bones and muscles in MRI. In 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), IEEE, Freemantle, W.A, pp. 1-8.

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This paper presents a validation study on the application of a novel interslice interpolation technique for musculoskeletal structure segmentation of articulated joints and muscles on human magnetic resonance imaging data. The interpolation technique is based on morphological shape-based interpolation combined with intensity based voxel classification. Shape-based interpolation in the absence of the original intensity image has been investigated intensively. However, in some applications of medical image analysis, the intensity image of the slice to be interpolated is available. For example, when manual segmentation is conducted on selected slices, the segmentation on those unselected slices can be obtained by interpolation. We proposed a two- step interpolation method to utilize both the shape information in the manual segmentation and local intensity information in the image. The method was tested on segmentations of knee, hip and shoulder joint bones and hamstring muscles. The results were compared with two existing interpolation methods. Based on the calculated Dice similarity coefficient and normalized error rate, the proposed method outperformed the other two methods.

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ID Code: 91050
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1109/DICTA.2012.6411678
ISBN: 9781467321815
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Schools > School of Exercise & Nutrition Sciences
Deposited On: 07 Dec 2015 23:38
Last Modified: 09 Dec 2015 03:14

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