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Proceedings Paper

An example-based brain MRI simulation framework
Author(s): Qing He; Snehashis Roy; Amod Jog; Dzung L. Pham
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Paper Abstract

The simulation of magnetic resonance (MR) images plays an important role in the validation of image analysis algorithms such as image segmentation, due to lack of sufficient ground truth in real MR images. Previous work on MRI simulation has focused on explicitly modeling the MR image formation process. However, because of the overwhelming complexity of MR acquisition these simulations must involve simplifications and approximations that can result in visually unrealistic simulated images. In this work, we describe an example-based simulation framework, which uses an “atlas” consisting of an MR image and its anatomical models derived from the hard segmentation. The relationships between the MR image intensities and its anatomical models are learned using a patch-based regression that implicitly models the physics of the MR image formation. Given the anatomical models of a new brain, a new MR image can be simulated using the learned regression. This approach has been extended to also simulate intensity inhomogeneity artifacts based on the statistical model of training data. Results show that the example based MRI simulation method is capable of simulating different image contrasts and is robust to different choices of atlas. The simulated images resemble real MR images more than simulations produced by a physics-based model.

Paper Details

Date Published: 18 March 2015
PDF: 8 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94120P (18 March 2015); doi: 10.1117/12.2075687
Show Author Affiliations
Qing He, Henry M. Jackson Foundation for the Advancement of Military Medicine (United States)
Snehashis Roy, Henry M. Jackson Foundation for the Advancement of Military Medicine (United States)
Amod Jog, Johns Hopkins Univ. (United States)
Dzung L. Pham, Henry M. Jackson Foundation for the Advancement of Military Medicine (United States)


Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)

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