Key result
A semi-automatic approach using line predicates successfully extracted vortex flow in the aorta and pulmonary artery across 10 datasets with various cardiac pathologies.
A new GPU-implemented semi-automatic vortex extraction method for 4D PC-MRI data can reliably identify cardiac blood flow patterns to complement existing diagnostic information.
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Supports vortex visualization in 4D PC-MRI; leaves open prospective validation before diagnostic adoption.
Cardiovascular diseases (CVD) are the leading cause of death worldwide. Their initiation and evolution depends strongly on the blood flow characteristics. In recent years, advances in 4D PC-MRI acquisition enable reliable and time-resolved 3D flow measuring, which allows a qualitative and quantitative analysis of the patient-specific hemodynamics. Currently, medical researchers investigate the relation between characteristic flow patterns like vortices and different pathologies. The manual extraction and evaluation is tedious and requires expert knowledge. Standardized, (semi-)automatic and reliable techniques are necessary to make the analysis of 4D PC-MRI applicable for the clinical routine. In this work, we present an approach for the extraction of vortex flow in the aorta and pulmonary artery incorporating line predicates. We provide an extensive comparison of existent vortex extraction methods to determine the most suitable vortex criterion for cardiac blood flow and apply our approach to ten datasets with different pathologies like coarctations, Tetralogy of Fallot and aneurysms. For two cases we provide a detailed discussion how our results are capable to complement existent diagnosis information. To ensure real-time feedback for the domain experts we implement our method completely on the GPU.
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Köhler et al. (2013) studied Cardiovascular diseases including coarctations, Tetralogy of Fallot, and aneurysms (n=10). Semi-automatic vortex extraction using line predicates vs. Existent vortex extraction methods was evaluated on Extraction of vortex flow in the aorta and pulmonary artery. A semi-automatic approach using line predicates successfully extracted vortex flow in the aorta and pulmonary artery across 10 datasets with various cardiac pathologies.
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