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

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17 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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