Literature DB >> 27317206

Objective selection of short-axis slices for automated quantification of left ventricular size and function by cardiovascular magnetic resonance.

Marco Marino1, Cristiana Corsi1, Francesco Maffessanti2, Amit R Patel2, Victor Mor-Avi3.   

Abstract

BACKGROUND: Quantification of left ventricular (LV) volume from cardiovascular magnetic resonance images relies on subjective and often challenging selection of short-axis (SAX) slices. We hypothesized that this could be solved by defining mitral annular (MA) plane and apex in long-axis (LAX) views, which could be combined with automated LV volume analysis that does not rely on manual tracing of the endocardial border.
METHODS: SAX images from 50 subjects were analyzed using custom software. LV apex and insertion points of the mitral leaflets were marked on LAX views and used to approximate MA plane. End-systolic and end-diastolic LV volumes (ESV, EDV) were measured while including only slices or their parts located between MA plane and LV apex. Endocardial borders were automatically detected using our previously validated algorithm and also manually traced to obtain reference values.
RESULTS: Selection of anatomic landmarks in LAX views allowed automated measurement of LV volumes without the need for subjective slice selection. Intertechnique comparisons resulted in high correlations (EDV: r=0.95; ESV: r=0.96) and small biases (1 and 9ml). Combined three-dimensional displays of LAX and SAX views with the MA plane showed that in 7/10 worst cases, intertechnique discordance was due to incorrect manual tracing at LV base that erroneously included part of atrial cavity in LV volume or excluded part of LV cavity, i.e., incorrect reference values.
CONCLUSION: Defining the MA plane and apex in the LAX views obviates the need for subjective slice selection and eliminates errors in LV volume measurements.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Endocardial border detection; Magnetic resonance imaging; Mitral annular plane; Ventricular function

Mesh:

Year:  2016        PMID: 27317206     DOI: 10.1016/j.clinimag.2016.02.025

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  3 in total

Review 1.  Left Ventricular Noncompaction Detected by Cardiac Magnetic Resonance Screening: A Reexamination of Diagnostic Criteria.

Authors:  Anthony H Masso; Carlo Uribe; James T Willerson; Benjamin Y Cheong; Barry R Davis
Journal:  Tex Heart Inst J       Date:  2020-06-01

2.  AI Based CMR Assessment of Biventricular Function: Clinical Significance of Intervendor Variability and Measurement Errors.

Authors:  Shuo Wang; Hena Patel; Tamari Miller; Keith Ameyaw; Akhil Narang; Daksh Chauhan; Simran Anand; Emeka Anyanwu; Stephanie A Besser; Keigo Kawaji; Xing-Peng Liu; Roberto M Lang; Victor Mor-Avi; Amit R Patel
Journal:  JACC Cardiovasc Imaging       Date:  2021-10-13

3.  A fast, noniterative approach for accelerated high-temporal resolution cine-CMR using dynamically interleaved streak removal in the power-spectral encoded domain with low-pass filtering (DISPEL) and modulo-prime spokes (MoPS).

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Journal:  Med Phys       Date:  2017-05-23       Impact factor: 4.071

  3 in total

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