For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
43
views
31
references
 Top references
cited by
26
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      51
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Perfusion Phantom: An Efficient and Reproducible Method to Simulate Myocardial First-Pass Perfusion Measurements with Cardiovascular Magnetic Resonance

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The aim of this article is to describe a novel hardware perfusion phantom that simulates myocardial first-pass perfusion allowing comparisons between different MR techniques and validation of the results against a true gold standard. MR perfusion images were acquired at different myocardial perfusion rates and variable doses of gadolinium and cardiac output. The system proved to be sensitive to controlled variations of myocardial perfusion rate, contrast agent dose, and cardiac output. It produced distinct signal intensity curves for perfusion rates ranging from 1 to 10 mL/mL/min. Quantification of myocardial blood flow by signal deconvolution techniques provided accurate measurements of perfusion. The phantom also proved to be very reproducible between different sessions and different operators. This novel hardware perfusion phantom system allows reliable, reproducible, and efficient simulation of myocardial first-pass MR perfusion. Direct comparison between the results of image-based quantification and reference values of flow and myocardial perfusion will allow development and validation of accurate quantification methods. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: found
          • Article: not found

          Diagnostic performance of stress cardiac magnetic resonance imaging in the detection of coronary artery disease: a meta-analysis.

          Sirisha Nandalur, Ruth C Carlos, Ben A Dwamena … (2007)
          The purpose of our study was to conduct an evidence-based evaluation of stress cardiac magnetic resonance imaging (MRI) in the diagnosis of coronary artery disease (CAD). Stress cardiac MRI has recently emerged as a noninvasive method in the detection of CAD, with 2 main techniques in use: 1) perfusion imaging; and 2) stress-induced wall motion abnormalities imaging. We examined studies from January 1990 to January 2007 using MEDLINE and EMBASE. A study was included if it: 1) used stress MRI as a diagnostic test for CAD (> or =50% diameter stenosis); and 2) used catheter X-ray angiography as the reference standard. Thirty-seven studies (2,191 patients) met the inclusion criteria, with 14 datasets (754 patients) using stress-induced wall motion abnormalities imaging and 24 datasets (1,516 patients) using perfusion imaging. Stress-induced wall motion abnormalities imaging demonstrated a sensitivity of 0.83 (95% confidence interval [CI] 0.79 to 0.88) and specificity of 0.86 (95% CI 0.81 to 0.91) on a patient level (disease prevalence = 70.5%). Perfusion imaging demonstrated a sensitivity of 0.91 (95% CI 0.88 to 0.94) and specificity of 0.81 (95% CI 0.77 to 0.85) on a patient level (disease prevalence = 57.4%). In studies with high disease prevalence, stress cardiac MRI, using either technique, demonstrates overall good sensitivity and specificity for the diagnosis of CAD. However, limited data are available regarding use of either technique in populations with low disease prevalence.
          Article 0 comments Cited 97 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            k-t PCA: temporally constrained k-t BLAST reconstruction using principal component analysis.

            Steffen Ringgaard, Kay Nehrke, Sebastian Kozerke … (2009)
            The k-t broad-use linear acquisition speed-up technique (BLAST) has become widespread for reducing image acquisition time in dynamic MRI. In its basic form k-t BLAST speeds up the data acquisition by undersampling k-space over time (referred to as k-t space). The resulting aliasing is resolved in the Fourier reciprocal x-f space (x = spatial position, f = temporal frequency) using an adaptive filter derived from a low-resolution estimate of the signal covariance. However, this filtering process tends to increase the reconstruction error or lower the achievable acceleration factor. This is problematic in applications exhibiting a broad range of temporal frequencies such as free-breathing myocardial perfusion imaging. We show that temporal basis functions calculated by subjecting the training data to principal component analysis (PCA) can be used to constrain the reconstruction such that the temporal resolution is improved. The presented method is called k-t PCA.
            Article 0 comments Cited 72 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              High-resolution magnetic resonance myocardial perfusion imaging at 3.0-Tesla to detect hemodynamically significant coronary stenoses as determined by fractional flow reserve.

              Kalpa De Silva, Sebastian Kozerke, Reza Rezavi … (2011)
              The objective of this study was to compare visual and quantitative analysis of high spatial resolution cardiac magnetic resonance (CMR) perfusion at 3.0-T against invasively determined fractional flow reserve (FFR). High spatial resolution CMR myocardial perfusion imaging for the detection of coronary artery disease (CAD) has recently been proposed but requires further clinical validation. Forty-two patients (33 men, age 57.4 ± 9.6 years) with known or suspected CAD underwent rest and adenosine-stress k-space and time sensitivity encoding accelerated perfusion CMR at 3.0-T achieving in-plane spatial resolution of 1.2 × 1.2 mm(2). The FFR was measured in all vessels with >50% severity stenosis. Fractional flow reserve <0.75 was considered hemodynamically significant. Two blinded observers visually interpreted the CMR data. Separately, myocardial perfusion reserve (MPR) was estimated using Fermi-constrained deconvolution. Of 126 coronary vessels, 52 underwent pressure wire assessment. Of these, 27 lesions had an FFR <0.75. Sensitivity and specificity of visual CMR analysis to detect stenoses at a threshold of FFR <0.75 were 0.82 and 0.94 (p < 0.0001), respectively, with an area under the receiver-operator characteristic curve of 0.92 (p < 0.0001). From quantitative analysis, the optimum MPR to detect such lesions was 1.58, with a sensitivity of 0.80, specificity of 0.89 (p < 0.0001), and area under the curve of 0.89 (p < 0.0001). High-resolution CMR MPR at 3.0-T can be used to detect flow-limiting CAD as defined by FFR, using both visual and quantitative analyses. Copyright © 2011 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
              Article 0 comments Cited 61 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Magn Reson Med
                Journal ID (iso-abbrev): Magn Reson Med
                Journal ID (publisher-id): mrm
                Title: Magnetic Resonance in Medicine
                Publisher: Wiley Subscription Services, Inc., A Wiley Company (Hoboken )
                ISSN (Print): 0740-3194
                ISSN (Electronic): 1522-2594
                Publication date (Print): 01 March 2013
                Publication date (Electronic): 24 April 2012
                Volume: 69
                Issue: 3
                Pages: 698-707
                Affiliations
                [1 ]Division of Imaging Sciences, King's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St. Thomas' NHS Foundation Trust, The Rayne Institute London, United Kingdom
                [2 ]Philips Healthcare, Imaging Systems—MR, Best The Netherlands
                [3 ]Division of Cardiovascular and Neuronal Remodelling, University of Leeds Leeds, United Kingdom
                [4 ]Department of Biomedical Engineering, Biomedical Image Analysis, Eindhoven University of Technology Eindhoven, The Netherlands
                Author notes
                *Correspondence to: Amedeo Chiribiri, M.D., Ph.D., King's College London, Division of Imaging Sciences, The Rayne Institute, 4th Floor Lambeth Wing, St. Thomas' Hospital, London SE1 7EH, United Kingdom. E-mail: amedeo.chiribiri@ 123456kcl.ac.uk
                [†]

                Deceased

                Grant sponsors: Wellcome Trust and EPSRC (The Centre of Excellence in Medical Engineering); Grant number: WT 088641/Z/09/Z; Grant sponsor: British Heart Foundation (BHF); Grant numbers: RE/08/003 and FS/10/029/28253; Grant sponsor: Biomedical Research Centre; Grant numbers: BRC-CTF 196.

                Article
                DOI: 10.1002/mrm.24299
                PMC ID: 3593172
                PubMed ID: 22532435
                SO-VID: a6429363-22ca-461b-8ec0-c050d3b4e2c4
                Copyright © Copyright © 2012 Wiley Periodicals, Inc.
                License:

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                Date received : 03 October 2011
                Date revision received : 26 March 2012
                Date accepted : 26 March 2012
                Categories
                Subject: Imaging Methodology—Full Paper

                ScienceOpen disciplines: Radiology & Imaging
                Keywords: first-pass perfusion mr,phantom,gadolinium,3t,heart
                Data availability:
                ScienceOpen disciplines: Radiology & Imaging
                Keywords: first-pass perfusion mr, phantom, gadolinium, 3t, heart

                Comments

                Comment on this article

                scite_

                Similar content51

                See all similar

                Cited by26

                See all cited by

                Most referenced authors194

                See all reference authors