Visual and quantitative analysis of great arteries’ blood flow jets in cardiac 4D PC‐MRI data

• Published in: Computer graphics forum Vol. 37; no. 3; pp. 195 - 204
• Main Authors: Köhler, B., Grothoff, M., Gutberlet, M., Preim, B.
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.06.2018
• Subjects: [I.4.9]: Image Processing and Computer Vision—Applications • Computer Applications; [J.3]: Life and Medical Sciences; Aorta; Arteries; Blood flow; Categories and Subject Descriptors (according to ACM CCS): Computing Methodologies; Filtration; Jets; Pulmonary arteries; Quantitative analysis; Time dependence; Velocity distribution; Visualization
• ISSN: 0167-7055; 1467-8659
• DOI: 10.1111/cgf.13412

Flow in the great arteries (aorta, pulmonary artery) is normally laminar with a parabolic velocity profile. Eccentric flow jets are linked to various diseases like aneurysms. Cardiac 4D PC‐MRI data provide spatio‐temporally resolved blood flow information for the whole cardiac cycle. In this work, we establish a time‐dependent visualization and quantification of flow jets. For this purpose, equidistant measuring planes are automatically placed along the vessel's centerline. The flow jet position and region with highest velocities are extracted for every plane in each time step. This is done during pre‐processing and without user‐defined parameters. We visualize the main flow jet as geometric tube. High‐velocity areas are depicted as a net around this tube. Both geometries are time‐dependent and can be animated. Quantitative values are provided during cross‐sectional measuring plane‐based evaluation. Moreover, we offer a plot visualization as summary of flow jet characteristics for the selected plane. Our physiologically plausible results are in accordance with medical findings. Our clinical collaborators appreciate the possibility to view the flow jet in the whole vessel at once, which normally requires repeated pathline filtering due to varying velocities along the vessel course. The overview plots are considered as valuable for documentation purposes.