Abstract #3126

Improving interpretation accuracy for curved planar reformation of intracranial vessel wall MRI by reducing intra-plane rotation

Xin Wang¹, Yin Guo², Kaiyu Zhang², Gador Canton³, Niranjan Balu³, Thomas S. Hatsukami⁴, Mahmud Mossa-Basha⁵, and Chun Yuan³

¹Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, United States, ²Department of Bioengineering, University of Washington, Seattle, WA, United States, ³Department of Radiology, University of Washington, Seattle, WA, United States, ⁴Department of Surgery, University of Washington, Seattle, WA, United States, ⁵Department of Radiology, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States

Synopsis

Keywords: Data Processing, VisualizationThis work aims to develop an algorithm for straightened curved planar reformation (CPR), i.e., extracting the 2D cross-sectional images along a vessel centerline in a vessel wall MRI scan. Previous methods determine the orientation of CPR images in a fixed way, leading to undesired rotation along the centerline. Our method instead calculates the local coordinate system with respect to previous slices, thus keeping the continuity of cross-sections. Our CPR results show a better readability of the straightened vessel image, especially when one wants to utilize the spatial information among adjacent CPR slices for a more comprehensive and accurate medical analysis.

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