Fully automated tool to identify the aorta and compute flow using phase-contrast MRI: Validation and application in a large population based study

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Purpose To assess if fully automated localization of the aorta can be achieved using phase contrast (PC) MR images. Materials and Methods PC cardiac-gated MR images were obtained as part of a large population-based study. A fully automated process using the Hough transform was developed to localize the ascending aorta (AAo) and descending aorta (DAo). The study was designed to validate this technique by determining: (i) its performance in localizing the AAo and DAo; (ii) its accuracy in generating AAo flow volume and DAo flow volume; and (III) its robustness on studies with pathological abnormalities or imaging artifacts. Results The algorithm was applied successfully on 1884 participants. In the randomly selected 50-study validation set, linear regression shows an excellent correlation between the automated (A) and manual (M) methods for AAo flow (r = 0.99) and DAo flow (r = 0.99). Bland-Altman difference analysis demonstrates strong agreement with minimal bias for: AAo flow (mean difference [A-M] = 0.47 ± 2.53 mL), and DAo flow (mean difference [A-M] = 1.74 ± 2.47 mL). Conclusion A robust fully automated tool to localize the aorta and provide flow volume measurements on phase contrast MRI was validated on a large population-based study.

Original languageEnglish (US)
Pages (from-to)221-228
Number of pages8
JournalJournal of Magnetic Resonance Imaging
Volume40
Issue number1
DOIs
StatePublished - Jul 2014

Keywords

  • aorta
  • automatic
  • localization
  • phase contrast
  • segmentation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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