Berg, Philipp and Voss, Samuel and Saalfeld, Sylvia and Janiga, Gabor and Bergersen, Aslak W. and Valen-Sendstad, Kristian and Bruening, Jan and Goubergrits, Leonid and Spuler, Andreas and Cancelliere, Nicole M. and Steinman, David A. and Pereira, Vitor M. and Chiu, Tin Lok and Tsang, Anderson Chun On and Chung, Bong Jae and Cebral, Juan R. and Cito, Salvatore and Pallares, Jordi and Copelli, Gabriele and Csippa, Benjamin and Paal, Gyorgy and Fujimura, Soichiro and Takao, Hiroyuki and Hodis, Simona and Hille, Georg and Karmonik, Christof and Elias, Saba and Kellermann, Kerstin and Khan, Muhammad Owais and Marsden, Alison L. and Morales, Hernan G. and Piskin, Senol and Finol, Ender A. and Pravdivtseva, Mariya and Rajabzadeh-Oghaz, Hamidreza and Paliwal, Nikhil and Meng, Hui and Seshadhri, Santhosh and Howard, Matthew and Shojima, Masaaki and Sugiyama, Shin-ichiro and Niizuma, Kuniyasu and Sindeev, Sergey and Frolov, Sergey and Wagner, Thomas and Brawanski, Alexander and Qian, Yi and Wu, Yu-An and Carlson, Kent D. and Dragomir-Daescu, Dan and Beuing, Oliver (2018) Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation. CARDIOVASCULAR ENGINEERING AND TECHNOLOGY, 9 (4). pp. 565-581. ISSN 1869-408X, 1869-4098
Full text not available from this repository. (Request a copy)Abstract
Purpose-Advanced morphology analysis and image-based hemodynamic simulations are increasingly used to assess the rupture risk of intracranial aneurysms (IAs). However, the accuracy of those results strongly depends on the quality of the vessel wall segmentation. Methods-To evaluate state-of-the-art segmentation approaches, the Multiple Aneurysms AnaTomy CHallenge (MATCH) was announced. Participants carried out segmentation in three anonymized 3D DSA datasets (left and right anterior, posterior circulation) of a patient harboring five IAs. Qualitative and quantitative inter-group comparisons were carried out with respect to aneurysm volumes and ostia. Further, over- and undersegmentation were evaluated based on highly resolved 2D images. Finally, clinically relevant morphological parameters were calculated. Results-Based on the contributions of 26 participating groups, the findings reveal that no consensus regarding segmentation software or underlying algorithms exists. Qualitative similarity of the aneurysm representations was obtained. However, inter-group differences occurred regarding the luminal surface quality, number of vessel branches considered, aneurysm volumes (up to 20%) and ostium surface areas (up to 30%). Further, a systematic oversegmentation of the 3D surfaces was observed with a difference of approximately 10% to the highly resolved 2D reference image. Particularly, the neck of the ruptured aneurysm was overrepresented by all groups except for one. Finally, morphology parameters (e.g., undulation and non-sphericity) varied up to 25%. Conclusions-MATCH provides an overview of segmentation methodologies for IAs and highlights the variability of surface reconstruction. Further, the study emphasizes the need for careful processing of initial segmentation results for a realistic assessment of clinically relevant morphological parameters.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | COMPUTATIONAL FLUID-DYNAMICS; ANTERIOR COMMUNICATING ARTERY; FLOW DIVERTORS; RUPTURE STATUS; SIDE BRANCHES; HEMODYNAMICS; CFD; STENTS; RISK; REPRODUCIBILITY; Challenge; Intracranial aneurysm; Morphology; Segmentation |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Neurochirurgie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 04 Oct 2019 09:56 |
| Last Modified: | 04 Oct 2019 09:56 |
| URI: | https://pred.uni-regensburg.de/id/eprint/13433 |
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