Automated landmarking of bends in vascular structures: a comparative study with application to the internal carotid artery.
Automated tools for landmarking the internal carotid artery (ICA) bends have the potential for efficient and objective medical image-based morphometric analysis. The two existing algorithms rely on numerical approximations of curvature and torsion of the centerline. However, input parameters, origin...
| Publicado en: | BioMedical Engineering OnLine Vol. 20; no. 1; pp. 1 - 18 |
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| Autores principales: | , , |
| Formato: | review Journal Article |
| Publicado: |
BioMed Central
11/27/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153818174&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153818174 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1475925X 1CGX jtl: BioMedical Engineering OnLine issn: 1475925X maglogo: N pubinfo: dt: 11/27/2021 vid: 20 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 153818174 153818174 NLM34838018 153818174 10.1186/s12938-021-00957-6 NLM34838018 153818174 ppf: 1 ppct: 17 formats: tig: atl: Automated landmarking of bends in vascular structures: a comparative study with application to the internal carotid artery. aug: au: Kjeldsberg, Henrik A Bergersen, Aslak W Valen-Sendstad, Kristian affil: Department of Computational Physiology, Simula Research Laboratory AS, Kristian Augusts gate 23, 0164, Oslo, Norway sug: subj: Carotid Arteries Imaging, Three-Dimensional Algorithms Impact of Events Scale Questionnaires ab: Automated tools for landmarking the internal carotid artery (ICA) bends have the potential for efficient and objective medical image-based morphometric analysis. The two existing algorithms rely on numerical approximations of curvature and torsion of the centerline. However, input parameters, original source code, comparability, and robustness of the algorithms remain unknown. To address the former two, we have re-implemented the algorithms, followed by sensitivity analyses. Of the input parameters, the centerline smoothing had the least impact resulting in 6-7 bends, which is anatomically realistic. In contrast, centerline resolution showed to completely over- and underestimated the number of bends varying from 3 to 33. Applying the algorithms to the same cohort revealed a variability that makes comparison of results between previous studies questionable. Assessment of robustness revealed how one algorithm is vulnerable to model smoothness and noise, but conceptually independent of application. In contrast, the other algorithm is robust and consistent, but with limited general applicability. In conclusion, both algorithms are equally valid albeit they produce vastly different results. We have provided a well-documented open-source implementation of the algorithms. Finally, we have successfully performed this study on the ICA, but application to other vascular regions should be performed with caution. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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