Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps

Rist L, Taubmann O, Ditt H, Sühling M, Maier A (2023)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2023

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer

Series: Lecture Notes in Computer Science

City/Town: Cham

Book Volume: 14224

Pages Range: 737-746

Conference Proceedings Title: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Event location: Vancouver CA

ISBN: 9783031439032

DOI: 10.1007/978-3-031-43904-9_71

Abstract

Comprehensive, contiguous visualizations of the main cerebral arteries and the surrounding parenchyma offer considerable potential for improving diagnostic workflows in cerebrovascular disease, e.g., for fast assessment of vascular topology and lumen in stroke patients. Unfolding the brain vasculature into a 2D overview is, however, infeasible using common Curved Planar Reformation (CPR) due to the circular structure of the Circle of Willis (CoW) and the spatial configuration of the vessels typically rendering them unsuitable for mapping onto simple geometric primitives. We propose CeVasMap, extending the As-Rigid-As-Possible (ARAP) deformation by a smart initialization of the required mesh to map the CoW as well as a merging of neighboring vessels depending on the resulting degree of distortion. Otherwise, vessels are unfolded and attached individually, creating a textbook-style overview image. We provide an extensive distortion analysis, comparing the vector fields of individual and merged unfoldings of each vessel to their CPR results. In addition to enabling unfolding of circular structures, our method is on par in terms of incurred distortions to optimally oriented CPRs for individual vessels and comparable to unfavorable CPR orientations when merging the complete CoW with a median distortion of 65 μm/mm.

Authors with CRIS profile

Leonhard Rist Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Additional Organisation(s)

Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Siemens Healthineers DE Germany (DE)

How to cite

APA:

Rist, L., Taubmann, O., Ditt, H., Sühling, M., & Maier, A. (2023). Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps. In Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 (pp. 737-746). Vancouver, CA: Cham: Springer.

MLA:

Rist, Leonhard, et al. "Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps." Proceedings of the Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Vancouver Ed. Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor, Cham: Springer, 2023. 737-746.

BibTeX: Download