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Current ultrasound methods for measuring myocardial strain are often limited to measurements in one or two dimensions. Cardiac motion and deformation however are truly 3-D. With the introduction of matrix transducer technology, 3-D ultrasound imaging of the heart has become feasible but suffers from low temporal and spatial resolution, making 3-D strain(More)
Magnetic resonance (MR) cine images are often used to clinically assess left ventricular cardiac function. In a typical study, multiple 2-D long axis (LA) and short axis (SA) cine images are acquired, each in a different breath-hold. Differences in lung volume during breath-hold and overall patient motion distort spatial alignment of the images thus(More)
Liver segmentation is an important step for the therapeutic decision making in liver surgery. However, manual segmentation is timeconsuming and tedious and so the need for accurate and robust automatic segmentation methods for clinical data arises. In this work an atlas in combination with nonrigid registration is used to segment the liver in actual(More)
Automatic quantification of regional left ventricular deformation in volumetric ultrasound data remains challenging. Many methods have been proposed to extract myocardial motion, including techniques using block matching, phase-based correlation, differential optical flow methods, and image registration. Our lab previously presented an approach based on(More)
Earlier studies of our group based on synthetic volumetric ultrasound data showed that automatic intensitybased spatio-temporal elastic registration of currently available three-dimensional (3D) volumetric ultrasound data sets should allow to measure the full myocardial motion, deformation and strain in three dimensions. This is a clear advantage over(More)
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