Automated landmarking of bends in vascular structures: a comparative study with application to the internal carotid artery.

Publisher: BioMed Central Country of Publication: England NLM ID: 101147518 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-925X (Electronic) Linking ISSN: 1475925X NLM ISO Abbreviation: Biomed Eng Online Subsets: MEDLINE

Original Publication: London : BioMed Central, [2002-

Carotid Artery, Internal* ; Imaging, Three-Dimensional*; Algorithms ; Humans

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.
(© 2021. The Author(s).)

Med Phys. 2011 Jan;38(1):210-22. (PMID: 21361189)
Ann Biomed Eng. 2015 Jun;43(6):1422-31. (PMID: 25707596)
J Neurosurg. 2004 Jul;101(1):108-13. (PMID: 15255260)
Med Image Anal. 2012 May;16(4):889-903. (PMID: 22377655)
IEEE Trans Med Imaging. 2009 Aug;28(8):1141-55. (PMID: 19447701)
Int J Numer Method Biomed Eng. 2020 May;36(5):e3330. (PMID: 32125768)
Semin Neurol. 2018 Apr;38(2):208-211. (PMID: 29791947)
Cardiovasc Eng Technol. 2018 Dec;9(4):544-564. (PMID: 30203115)
J Neurointerv Surg. 2013 Jul;5(4):371-5. (PMID: 22490430)
Anat Cell Biol. 2017 Sep;50(3):163-170. (PMID: 29043093)
Lancet. 2016 Oct 8;388(10053):1459-1544. (PMID: 27733281)
Atherosclerosis. 1983 Feb;46(2):225-31. (PMID: 6838702)
Stroke. 2012 Jun;43(6):1596-601. (PMID: 22511010)
Stroke. 2013 Dec;44(12):3561-4. (PMID: 24092552)
Science. 2015 Aug 28;349(6251):aac4716. (PMID: 26315443)
N Engl J Med. 2000 Jun 8;342(23):1693-700. (PMID: 10841871)
J Biomech. 2014 Sep 22;47(12):3210-6. (PMID: 25062933)
Neurosurgery. 2015 Sep;77(3):433-41; discussion 441-2. (PMID: 26075307)
Yonsei Med J. 2007 Aug 31;48(4):634-8. (PMID: 17722235)
Arq Neuropsiquiatr. 2012 Dec;70(12):917-21. (PMID: 23295418)
Control Clin Trials. 1981 Jun;2(2):93-113. (PMID: 7273794)
J Neurosurg. 1981 Oct;55(4):560-74. (PMID: 7277004)
Neurosurgery. 2011 May;68(5):1270-85; discussion 1285. (PMID: 21273931)
Stroke. 1981 Mar-Apr;12(2):183-8. (PMID: 7233461)
J Biomech. 2017 Feb 8;52:179-182. (PMID: 28069165)
Cardiovasc Eng Technol. 2018 Dec;9(4):565-581. (PMID: 30191538)
J Biomech. 2014 Sep 22;47(12):3018-27. (PMID: 25062932)

262827 National Research Council of Science and Technology

Keywords: Automated landmarking; Computational geometry; Geometric characterization; Geometric risk factor; Internal carotid artery; Landmark detection

Date Created: 20211128 Date Completed: 20211210 Latest Revision: 20231108

20240829

PMC8626959

10.1186/s12938-021-00957-6

34838018