Literature DB >> 21470364

Determination of right ventricular volume and function using multiple axially rotated MRI slices.

Meriam Åström Aneq1, Eva Nylander, Tino Ebbers, Jan Engvall.   

Abstract

BACKGROUND: The conventional magnetic resonance imaging (MRI) method for right ventricular (RV) volume and motion, using short-axis (SA) orientation, is limited by RV anatomy and shape. We suggest an orientation based on six slices rotated around the long axis of the RV, rotated long axis (RLA).
MATERIALS AND METHODS: Three phantoms were investigated in SA and RLA using cine balanced steady-state free precession MRI. Volumes were calculated based on segmentation and checked against true volumes. In 23 healthy male volunteers, we used six long-axis planes from the middle of the tricuspid valve to the RV apex, rotated in 30° increments. For comparison, short-axis slices were acquired. Imaging parameters were identical in both acquisitions.
RESULTS: Right ventricular end-diastolic (EDV), end-systolic (ESV) and stroke volumes (SV) determined in the RLA 179.1 ± 29.3; 80.1 ± 17.1; 99.3 ± 16.9 ml and in the SA were 174.0 ± 21.1; 78.8 ± 13.6; 95.3 ± 14.5 ml with P-values for the difference from 0.17 to 0.64 (ns). Interobserver variability ranged between 3.2% and 6.6% and intraobserver variability between 2.8% and 6.8%. In SA views, consensus for the definition of the basal slice was necessary in 39% of the volunteers for whom the average volume change was 20% in ESV and 10% in EDV.
CONCLUSIONS: The RLA method results in better visualization and definition of the RV inflow, outflow and apex. Accurate measurement of RV volumes for diagnosis and follow-up of cardiac diseases are enhanced by the RLA orientation, even though additional acquisition time is required.
© 2011 The Authors. Clinical Physiology and Functional Imaging © 2011 Scandinavian Society of Clinical Physiology and Nuclear Medicine.

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Year:  2011        PMID: 21470364     DOI: 10.1111/j.1475-097X.2011.01006.x

Source DB:  PubMed          Journal:  Clin Physiol Funct Imaging        ISSN: 1475-0961            Impact factor:   2.273


  2 in total

1.  Right ventricular strain and volume analyses through deep learning-based fully automatic segmentation based on radial long-axis reconstruction of short-axis cine magnetic resonance images.

Authors:  Masateru Kawakubo; Daichi Moriyama; Yuzo Yamasaki; Kohtaro Abe; Kazuya Hosokawa; Tetsuhiro Moriyama; Pandji Triadyaksa; Adi Wibowo; Michinobu Nagao; Hideo Arai; Hiroshi Nishimura; Toshiaki Kadokami
Journal:  MAGMA       Date:  2022-05-18       Impact factor: 2.310

2.  Evaluation of a Semi-automatic Right Ventricle Segmentation Method on Short-Axis MR Images.

Authors:  Pinar Yilmaz; Karel Wallecan; Wisnumurti Kristanto; Jean-Paul Aben; Adriaan Moelker
Journal:  J Digit Imaging       Date:  2018-10       Impact factor: 4.056

  2 in total

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