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      Quantification in cardiac MRI: advances in image acquisition and processing

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          Abstract

          Cardiac magnetic resonance (CMR) imaging enables accurate and reproducible quantification of measurements of global and regional ventricular function, blood flow, perfusion at rest and stress as well as myocardial injury. Recent advances in MR hardware and software have resulted in significant improvements in image quality and a reduction in imaging time. Methods for automated and robust assessment of the parameters of cardiac function, blood flow and morphology are being developed. This article reviews the recent advances in image acquisition and quantitative image analysis in CMR.

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          SENSE: Sensitivity encoding for fast MRI

          Klaas Pruessmann, Markus Weiger, Markus Scheidegger … (1999)
          New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementary to Fourier preparation by linear field gradients. Thus, by using multiple receiver coils in parallel scan time in Fourier imaging can be considerably reduced. The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion and solved for arbitrary coil configurations and k-space sampling patterns. Special attention is given to the currently most practical case, namely, sampling a common Cartesian grid with reduced density. For this case the feasibility of the proposed methods was verified both in vitro and in vivo. Scan time was reduced to one-half using a two-coil array in brain imaging. With an array of five coils double-oblique heart images were obtained in one-third of conventional scan time. Magn Reson Med 42:952-962, 1999. Copyright 1999 Wiley-Liss, Inc.
          Article 0 comments Cited 733 times – based on 0 reviews     Review now
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            Characterization of the peri-infarct zone by contrast-enhanced cardiac magnetic resonance imaging is a powerful predictor of post-myocardial infarction mortality.

            Edward W. Chan, Susie T Luu, S. Gupta … (2006)
            Accurate risk stratification is crucial for effective treatment planning after myocardial infarction (MI). Previous studies suggest that the peri-infarct border zone may be an important arrhythmogenic substrate. In this pilot study, we tested the hypothesis that the extent of the peri-infarct zone quantified by contrast-enhanced cardiac magnetic resonance (CMR) is an independent predictor of post-MI mortality. We studied 144 patients with documented coronary artery disease and abnormal myocardial delayed enhancement (MDE) consistent with MI. A computer-assisted, semiautomatic algorithm quantified the total infarct size and divided it into the core and peri-infarct regions based on signal-intensity thresholds (>3 SDs and 2 to 3 SDs above remote normal myocardium, respectively). The peri-infarct zone was normalized as a percentage of the total infarct size (%MDE(periphery)). After a median follow-up of 2.4 years, 29 (20%) patients died. Patients with an above-median %MDE(periphery) were at higher risk for death compared with those with a below-median %MDE(periphery) (28% versus 13%, log-rank P<0.01). Multivariable analysis showed that left ventricular systolic volume index and %MDE(periphery) were the strongest predictors of all-cause mortality (adjusted hazard ratio [HR] for %MDE(periphery), 1.45 per 10% increase; P=0.002) and cardiovascular mortality (adjusted HR, 1.51 per 10% increase; P=0.009). Similarly, after adjusting for age and left ventricular ejection fraction, %MDE(periphery) maintained strong and independent associations with all-cause mortality (adjusted HR, 1.42; P=0.005) and cardiovascular mortality (adjusted HR, 1.49; P=0.01). In patients with a prior MI, the extent of the peri-infarct zone characterized by CMR provides incremental prognostic value beyond left ventricular systolic volume index or ejection fraction. Infarct characteristics by CMR may prove to be a unique and valuable noninvasive predictor of post-MI mortality.
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              Clinical indications for cardiovascular magnetic resonance (CMR): Consensus Panel report.

              U. Sechtem, E C Yücel, Frank E Rademakers … (2004)
              Article 0 comments Cited 115 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                : R.J.van_der_Geest@lumc.nl
                Journal
                Journal ID (nlm-ta): Int J Cardiovasc Imaging
                Title: The International Journal of Cardiovascular Imaging
                Publisher: Springer Netherlands (Dordrecht )
                ISSN (Print): 1569-5794
                ISSN (Electronic): 1875-8312
                Publication date (Electronic): 8 January 2010
                Publication date PMC-release: 8 January 2010
                Publication date (Print): February 2010
                Volume: 26
                Issue: Suppl 1
                Pages: 27-40
                Affiliations
                [1 ]Department of Radiology and Cardiology, University of Kentucky, 800 Rose Street Room HX-315B, Lexington, KY 40536 USA
                [2 ]King’s College London BHF Centre of Excellence, Division of Imaging Sciences, NIHR Biomedical Research Centre at Guy’s and St. Thomas’ NHS Trust Foundation, The Rayne Institute, 4th Floor Lambeth Wing, St. Thomas’ Hospital, London, SE1 7EH UK
                [3 ]Division of Image Processing, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
                Article
                Publisher ID: 9571
                DOI: 10.1007/s10554-009-9571-x
                PMC ID: 2816803
                PubMed ID: 19876761
                SO-VID: b24319c3-bda0-47c2-86cb-eba1e257f1df
                Copyright © © The Author(s) 2010
                History
                Date received : 10 November 2009
                Date accepted : 18 December 2009
                Categories
                Subject: Review
                Custom metadata
                issue-copyright-statement © Springer Science+Business Media, B.V. 2010

                ScienceOpen disciplines: Cardiovascular Medicine
                Keywords: quantification,cardiac mri
                Data availability:
                ScienceOpen disciplines: Cardiovascular Medicine
                Keywords: quantification, cardiac mri

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