Cardiac Fiber Tracking Using Adaptive Sampling Based on Diffusion Fractional Anisotropy - Laboratoire Interdisciplinaire des Sciences du Numérique Access content directly
Journal Articles Journal of Medical Imaging and Health Informatics Year : 2017

Cardiac Fiber Tracking Using Adaptive Sampling Based on Diffusion Fractional Anisotropy

Abstract

As a non-invasive detection technology, magnetic resonance diffusion imaging (MRI) has aroused increasingly more attention in cardiac fiber tracking. How to improve efficiency and accuracy is still a challenging problem in this field. We presented a probabilistic method using adaptive sampling, which adjust sample size and sample divergence based on diffusion anisotropy to characterize the probability distribution of fiber path. We validate the method on real cardiac data set and get better results with stronger robustness.
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Dates and versions

hal-02071573 , version 1 (18-03-2019)

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Fanhui Kong, Wanyu Liu, Isabelle E. Magnin, Yuemin Zhu. Cardiac Fiber Tracking Using Adaptive Sampling Based on Diffusion Fractional Anisotropy. Journal of Medical Imaging and Health Informatics, 2017, 7 (7), pp.1561--1565. ⟨10.1166/jmihi.2017.2166⟩. ⟨hal-02071573⟩
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