Abstract
In this article, we present some advances on medical imaging and computing at the National Laboratory of Pattern Recognition (NLPR) in the Chinese Academy of Sciences. The first part is computational neuroanatomy. Several novel methods on segmentations of brain tissue and anatomical substructures, brain image registration, and shape analysis are presented. The second part consists of brain connectivity, which includes anatomical connectivity based on diffusion tensor imaging (DTI), functional and effective connectivity with functional magnetic resonance imaging (fMRI). It focuses on abnormal patterns of brain connectivity of patients with various brain disorders compared with matched normal controls. Finally, some prospects and future research directions in this field are also given.
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Jiang, T. et al. (2005). Advances on Medical Imaging and Computing. In: Liu, Y., Jiang, T., Zhang, C. (eds) Computer Vision for Biomedical Image Applications. CVBIA 2005. Lecture Notes in Computer Science, vol 3765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569541_3
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DOI: https://doi.org/10.1007/11569541_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29411-5
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