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Artificial Intelligence–Based 3D Angiography for Visualization of Complex Cerebrovascular Pathologies

Artificial Intelligence–Based 3D Angiography for Visualization of Complex Cerebrovascular... ORIGINAL RESEARCH ADULT BRAIN Artificial Intelligence–Based 3D Angiography for Visualization of Complex Cerebrovascular Pathologies S. Lang, P. Hoelter, M. Schmidt, C. Strother, C. Kaethner, M. Kowarschik, and A. Doerfler ABSTRACT BACKGROUND AND PURPOSE: By means of artificial intelligence, 3D angiography is a novel postprocessing method for 3D imaging of cerebral vessels. Because 3D angiography does not require a mask run like the current standard 3D-DSA, it potentially offers a considerable reduction of the patient radiation dose. Our aim was an assessment of the diagnostic value of 3D angiography for vis- ualization of cerebrovascular pathologies. MATERIALS AND METHODS: 3D-DSA data sets of cerebral aneurysms (n ¼ 10), AVMs (n ¼ 10), and dural arteriovenous fistulas CA AVM (dAVFs) (n ¼ 10) were reconstructed using both conventional and prototype software. Corresponding reconstructions have dAVF been analyzed by 2 neuroradiologists in a consensus reading in terms of image quality, injection vessel diameters (vessel diameter [VD] 1/2), vessel geometry index (VGI ¼ VD1/VD2), and specific qualitative/quantitative parameters of AVMs (eg, location, nidus size, feeder, associated aneurysms, drainage, Spetzler-Martin score), dAVFs (eg, fistulous point, main feeder, diameter of the main feeder, drainage), and cerebral aneurysms (location, neck, size). RESULTS: In total, 60 volumes have http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png American Journal of Neuroradiology American Journal of Neuroradiology

Artificial Intelligence–Based 3D Angiography for Visualization of Complex Cerebrovascular Pathologies

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Publisher
American Journal of Neuroradiology
Copyright
© 2021 by American Journal of Neuroradiology
ISSN
0195-6108
eISSN
1936-959X
DOI
10.3174/ajnr.A7252
Publisher site
See Article on Publisher Site

Abstract

ORIGINAL RESEARCH ADULT BRAIN Artificial Intelligence–Based 3D Angiography for Visualization of Complex Cerebrovascular Pathologies S. Lang, P. Hoelter, M. Schmidt, C. Strother, C. Kaethner, M. Kowarschik, and A. Doerfler ABSTRACT BACKGROUND AND PURPOSE: By means of artificial intelligence, 3D angiography is a novel postprocessing method for 3D imaging of cerebral vessels. Because 3D angiography does not require a mask run like the current standard 3D-DSA, it potentially offers a considerable reduction of the patient radiation dose. Our aim was an assessment of the diagnostic value of 3D angiography for vis- ualization of cerebrovascular pathologies. MATERIALS AND METHODS: 3D-DSA data sets of cerebral aneurysms (n ¼ 10), AVMs (n ¼ 10), and dural arteriovenous fistulas CA AVM (dAVFs) (n ¼ 10) were reconstructed using both conventional and prototype software. Corresponding reconstructions have dAVF been analyzed by 2 neuroradiologists in a consensus reading in terms of image quality, injection vessel diameters (vessel diameter [VD] 1/2), vessel geometry index (VGI ¼ VD1/VD2), and specific qualitative/quantitative parameters of AVMs (eg, location, nidus size, feeder, associated aneurysms, drainage, Spetzler-Martin score), dAVFs (eg, fistulous point, main feeder, diameter of the main feeder, drainage), and cerebral aneurysms (location, neck, size). RESULTS: In total, 60 volumes have

Journal

American Journal of NeuroradiologyAmerican Journal of Neuroradiology

Published: Oct 1, 2021

References