A motion compensated approach to quantitative digital subtraction angiography

Joseph F. Whitehead; Carson A. Hoffman; Sarvesh Periyasamy; Paul F. Laeseke; Michael A. Speidel; Martin G. Wagner

doi:10.1117/12.2611816

4 April 2022 A motion compensated approach to quantitative digital subtraction angiography

Joseph F. Whitehead, Carson A. Hoffman, Sarvesh Periyasamy, Paul F. Laeseke, Michael A. Speidel, Martin G. Wagner

Proceedings Volume 12031, Medical Imaging 2022: Physics of Medical Imaging; 120311L (2022) https://doi.org/10.1117/12.2611816
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

Quantitative digital subtraction angiography (qDSA) aims to standardize clinical endpoints for embolization procedures by measuring arterial blood velocity from 2D image sequences intra-procedurally until a predetermined reduction in velocity is achieved. qDSA determines velocity by tracking oscillations in iodine contrast induced from the cardiac cycle as they propagate along a vessel centerline. The purpose of this work was to investigate the influence of vessel motion on the accuracy of qDSA and to develop a motion compensated qDSA approach (MC-qDSA). MC-qDSA uses a deeplearning-based frame-by-frame vessel segmentation approach followed by vessel registration. This allows automatic recalculation of centerlines for each frame and thus provides a dynamic centerline that moves with the vasculature. The approach was tested in a phantom study simulating physiologic blood flow, respiratory and cardiac motion. Errors in qDSA velocity measurements relative to the ideal case of a stationary phantom were quantified using the mean absolute percent difference (MAD). In the respiratory motion cases, no motion correction resulted in 160.0 ± 283.0% MAD and the proposed MC-qDSA approach improved the MAD to 6.5 ± 5.9%. In the cardiac motion cases, MAD was 11.9 ± 12.8% without motion correction and 5.4 ± 4.1% using MC-qDSA. A retrospective swine study was performed in motion corrupted image sequencesto test the ability of MC-qDSA to correctly determine vessel centerlines with more anatomically realistic backgrounds and vessels. The average Hausdorff distance between non-motion-compensated vessel centerlines and manually annotated centerlines was 1.8 ± 1.5mm and for the motion compensated centerlines it was 0.5 ± 0.2mm. The proposed method provides a potential means of utilizing qDSA in motion corrupted image sequences.

Conference Presentation

Citation Download Citation

Joseph F. Whitehead, Carson A. Hoffman, Sarvesh Periyasamy, Paul F. Laeseke, Michael A. Speidel, and Martin G. Wagner "A motion compensated approach to quantitative digital subtraction angiography", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120311L (4 April 2022); https://doi.org/10.1117/12.2611816

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