Author, as appears in the article.: Berg P; Voß S; Saalfeld S; Janiga G; Bergersen AW; Valen-Sendstad K; Bruening J; Goubergrits L; Spuler A; Cancelliere NM; Steinman DA; Pereira VM; Chiu TL; Tsang ACO; Chung BJ; Cebral JR; Cito S; Pallarès J; Copelli G; Csippa B; Paál G; Fujimura S; Takao H; Hodis S; Hille G; Karmonik C; Elias S; Kellermann K; Khan MO; Marsden AL; Morales HG; Piskin S; Finol EA; Pravdivtseva M; Rajabzadeh-Oghaz H; Paliwal N; Meng H; Seshadhri S; Howard M; Shojima M; Berg P; Voß S; Saalfeld S; Janiga G; Bergersen AW; Valen-Sendstad K; Bruening J; Goubergrits L; Spuler A; Cancelliere NM; Steinman DA
Department: Enginyeria Mecànica
URV's Author/s: Pallarés Curto, Jorge María
Keywords: Segmentation Morphology Intracranial aneurysm Challenge
Abstract: © 2018, Biomedical Engineering Society. 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.
Thematic Areas: Engineering, biomedical Cardiology and cardiovascular medicine Cardiac & cardiovascular systems Biomedical engineering
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: jordi.pallares@urv.cat
Author identifier: 0000-0003-0305-2714
Record's date: 2024-09-07
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://link.springer.com/article/10.1007/s13239-018-00376-0
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Cardiovascular Engineering And Technology. 9 (4): 565-581
APA: Berg P; Voß S; Saalfeld S; Janiga G; Bergersen AW; Valen-Sendstad K; Bruening J; Goubergrits L; Spuler A; Cancelliere NM; Steinman DA; Pereira VM; Chi (2018). Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation. Cardiovascular Engineering And Technology, 9(4), 565-581. DOI: 10.1007/s13239-018-00376-0
Article's DOI: 10.1007/s13239-018-00376-0
Entity: Universitat Rovira i Virgili
Journal publication year: 2018
Publication Type: Journal Publications
Repositori URV