Hybrid feature-based diffeomorphic registration for tumor tracking in 2-D liver ultrasound images

Cifor A, Risser L, Chung D, Anderson EM, Schnabel JA (2013)

Publication Type: Journal article

Publication year: 2013

Journal

IEEE Transactions on Medical Imaging Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 32

Pages Range: 1647-1656

Article Number: 6514485

Journal Issue: 9

DOI: 10.1109/TMI.2013.2262055

Abstract

Real-time ultrasound image acquisition is a pivotal resource in the medical community, in spite of its limited image quality. This poses challenges to image registration methods, particularly to those driven by intensity values. We address these difficulties in a novel diffeomorphic registration technique for tumor tracking in series of 2-D liver ultrasound. Our method has two main characteristics: 1) each voxel is described by three image features: intensity, local phase, and phase congruency; 2) we compute a set of forces from either local information (Demons-type of forces), or spatial correspondences supplied by a block-matching scheme, from each image feature. A family of update deformation fields which are defined by these forces, and inform upon the local or regional contribution of each image feature are then composed to form the final transformation. The method is diffeomorphic, which ensures the invertibility of deformations. The qualitative and quantitative results yielded by both synthetic and real clinical data show the suitability of our method for the application at hand. © 2012 IEEE.

Involved external institutions

University of Oxford GB United Kingdom (GB) Université Toulouse III - Paul Sabatier FR France (FR) Oxford University Hospitals NHS Foundation Trust GB United Kingdom (GB)

How to cite

APA:

Cifor, A., Risser, L., Chung, D., Anderson, E.M., & Schnabel, J.A. (2013). Hybrid feature-based diffeomorphic registration for tumor tracking in 2-D liver ultrasound images. IEEE Transactions on Medical Imaging, 32(9), 1647-1656. https://doi.org/10.1109/TMI.2013.2262055

MLA:

Cifor, Amalia, et al. "Hybrid feature-based diffeomorphic registration for tumor tracking in 2-D liver ultrasound images." IEEE Transactions on Medical Imaging 32.9 (2013): 1647-1656.

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