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- W4333560 abstract "This work deals with image processing for three medical imaging applications: speckle detection in 3D ultrasound, left ventricle detection in cardiac magnetic resonance imaging (MRI) and flow feature visualisation in velocity MRI. For speckle detection, a learning from data approach was taken using pattern recognition principles and low-level image features, including signal-to-noise ratio, co-occurrence matrix, asymmetric second moment, homodyned k-distribution and a proposed specklet detector. For left ventricle detection, template matching was used. Forvortex detection, a data processing framework is presented that consists of three main steps: restoration, abstraction and tracking. This thesis addresses the first two problems, implementing restoration with a total variation first order Lagrangian method, and abstraction with clustering and local linear expansion." @default.
- W4333560 created "2016-06-24" @default.
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- W4333560 date "2005-04-01" @default.
- W4333560 modified "2023-09-26" @default.
- W4333560 title "Image processing in echography and MRI" @default.
- W4333560 hasPublicationYear "2005" @default.
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