Routine cine-CMR segmentation via a novel automated algorithm (LV-METRIC) for assessment of aortic physiology: a clinical validation study

نویسندگان

  • Parmanand Singh
  • Noel C Codella
  • Yi Wang
  • Zaid I Almarzooq
  • Nisha Bavalia
  • Grace Malonga
  • Steven M Markowitz
  • Mary J Roman
  • Richard B Devereux
  • Jonathan W Weinsaft
چکیده

Methods Cine-CMR (SSFP) was performed on 1.5 Tesla (GE) scanners; pulse sequence parameters were equivalent to those for routine CMR (typical TR 3.4 msec, TE 1.14 msec, flip angle 60, temporal resolution 30 msec). Images were acquired in conventional cardiac (2, 3, 4 chamber) long axis or axial imaging planes. Aortic area was uniformly measured in a non-aneurysmal location within the mid-descending thoracic aorta: Cine-CMR was quantified via a novel “partial voxel” segmentation algorithm (LV-METRIC) that accounts for relative proportion of blood within each individual imaging voxel. Maximum (systolic) and minimum (diastolic) aortic areas and brachial pulse pressure were used to calculate distensibility, a measure of arterial compliance, of the mid-descending thoracic aorta.

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عنوان ژورنال:

دوره 17  شماره 

صفحات  -

تاریخ انتشار 2015