Data-specific feature point descriptor matching using dictionary learning and graphical models

Guerrero R, Rueckert D (2013)

Publication Type: Conference contribution

Publication year: 2013

Journal

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Book Volume: 8669

Conference Proceedings Title: Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Event location: USA

ISBN: 9780819494436

DOI: 10.1117/12.2001622

Abstract

The identification of anatomical landmarks in medical images is an important task in registration and morphometry. The manual identification and labeling of these landmarks is very time consuming and prone to observer errors, especially when large datasets must be analyzed. Matching landmarks in a pair of images is a challenging task. Although off-the- shelf feature point descriptors are powerful at describing points in an image, they are generic by nature, as they have been usually developed for applications in a computer vision setting where there is little prior knowledge about the images. Leveraging on recent developments in the machine learning community, this paper aims to build feature point descriptors that are dataset-specific. The proposed approach describes landmarks as feature descriptors based on a sparse coding reconstruction of a patch surrounding the landmark (or any point of interest), using a dataset-specific learned dictionary. Since strong spatial constraints typically exist in medical images, we also combine spatial information of surrounding point descriptors into a graphical model that is built online. We show accurate results in matching one-to-one anatomical landmarks in brain MR images. © 2013 SPIE.

Involved external institutions

Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB)

How to cite

APA:

Guerrero, R., & Rueckert, D. (2013). Data-specific feature point descriptor matching using dictionary learning and graphical models. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. USA.

MLA:

Guerrero, Ricardo, and Daniel Rueckert. "Data-specific feature point descriptor matching using dictionary learning and graphical models." Proceedings of the Medical Imaging 2013: Image Processing, USA 2013.

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