Segmentation and reconstruction of cervical muscles using knowledge-based grouping adaptation and new step-wise registration with discrete cosines-Reference-Cited by-同舟云学术

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Segmentation and reconstruction of cervical muscles using knowledge-based grouping adaptation and new step-wise registration with discrete cosines

Published:2017-08-03 Issue:1 Volume:7 Page:12-25
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Suman Abdulla Al¹^ORCID,Aktar Mst. Nargis¹,Asikuzzaman Md.¹^ORCID,Webb Alexandra Louise²,Perriman Diana M.²³,Pickering Mark R.¹

Affiliation:

1. School of Engineering and Information Technology, The University of New South Wales, Canberra, Australia.

2. Medical School, Australian National University, Canberra, Australia.

3. Trauma and Orthopaedic Research Unit, Canberra Hospital, Canberra, Australia.

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2017.1356751

Reference47 articles.

1. Enhancement of MRI human thigh muscle segmentation by template-based framework

2. A Non-Rigid 3D Multi-Modal Registration Algorithm Using Partial Volume Interpolation and the Sum of Conditional Variance

3. Robust rigid registration of CT to MRI brain volumes using the SCV similarity measure

4. Non-rigid registration of cervical spine MRI volumes

5. The Generalized Log-Ratio Transformation: Learning Shape and Adjacency Priors for Simultaneous Thigh Muscle Segmentation

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