ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2008
Estimating myocardial perfusion from dynamic contrast-enhanced CMR with a model-independent deconvolution method.
Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Quantification of absolute myocardial perfusion in patients with coronary artery disease: comparison between cardiovascular magnetic resonance and positron emission tomography.Journal of the American College of Cardiology · 2012Trial
- SimultaneousFrontiers in medicine · 2025Article
- Impact of Temporal Resolution and Methods for Correction on Cardiac Magnetic Resonance Perfusion Quantification.Journal of magnetic resonance imaging : JMRI · 2022Article
- Evaluation of quantitative CMR perfusion imaging by comparison with simultaneousJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Comparison between quantitative cardiac magnetic resonance perfusion imaging and [European journal of nuclear medicine and molecular imaging · 2020Article
- Multimodality quantitative assessments of myocardial perfusion using dynamic contrast enhanced magnetic resonance andIEEE transactions on radiation and plasma medical sciences · 2018Article
- Estimating extraction fraction and blood flow by combining first-pass myocardial perfusion and T1 mapping results.Quantitative imaging in medicine and surgery · 2017Article
- Taxonomy of segmental myocardial systolic dysfunction.European heart journal · 2017Review
- Quantitative Myocardial Perfusion with Dynamic Contrast-Enhanced Imaging in MRI and CT: Theoretical Models and Current Implementation.BioMed research international · 2016Review
- Article
- Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model.Medical image analysis · 2014Article
- Quantitative myocardial perfusion imaging by cardiovascular magnetic resonance and positron emission tomography.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2013Review
- Towards robust deconvolution of low-dose perfusion CT: sparse perfusion deconvolution using online dictionary learning.Medical image analysis · 2013Article
- Perfusion phantom: An efficient and reproducible method to simulate myocardial first-pass perfusion measurements with cardiovascular magnetic resonance.Magnetic resonance in medicine · 2013Article
- Voxel-wise quantification of myocardial perfusion by cardiac magnetic resonance. Feasibility and methods comparison.Magnetic resonance in medicine · 2012Article
- A quantitative pixel-wise measurement of myocardial blood flow by contrast-enhanced first-pass CMR perfusion imaging: microsphere validation in dogs and feasibility study in humans.JACC. Cardiovascular imaging · 2012Article
- Sparsity-based deconvolution of low-dose perfusion CT using learned dictionaries.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2012Article
- Comparison of myocardial perfusion estimates from dynamic contrast-enhanced magnetic resonance imaging with four quantitative analysis methods.Magnetic resonance in medicine · 2010Article
- Review of Journal of Cardiovascular Magnetic Resonance 2009.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2010Review
- Estimating myocardial perfusion from dynamic contrast-enhanced CMR with a model-independent deconvolution method.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundModel-independent analysis with B-spline regularization has been used to quantify myocardial blood flow (perfusion) in dynamic contrast-enhanced cardiovascular magnetic resonance (CMR) studies. However, the model-independent approach has not been extensively evaluated to determine how the contrast-to-noise ratio between blood and tissue enhancement affects estimates of myocardial perfusion and the degree to which the regularization is dependent on the noise in the measured enhancement data. We investigated these questions with a model-independent analysis method that uses iterative minimization and a temporal smoothness regularizer. Perfusion estimates using this method were compared to results from dynamic 13N-ammonia PET.
resultsAn iterative model-independent analysis method was developed and tested to estimate regional and pixelwise myocardial perfusion in five normal subjects imaged with a saturation recovery turboFLASH sequence at 3 T CMR. Estimates of myocardial perfusion using model-independent analysis are dependent on the choice of the regularization weight parameter, which increases nonlinearly to handle large decreases in the contrast-to-noise ratio of the measured tissue enhancement data. Quantitative perfusion estimates in five subjects imaged with 3 T CMR were 1.1 +/- 0.8 ml/min/g at rest and 3.1 +/- 1.7 ml/min/g at adenosine stress. The perfusion estimates correlated with dynamic 13N-ammonia PET (y = 0.90x + 0.24, r = 0.85) and were similar to results from other validated CMR studies.
conclusionThis work shows that a model-independent analysis method that uses iterative minimization and temporal regularization can be used to quantify myocardial perfusion with dynamic contrast-enhanced perfusion CMR. Results from this method are robust to choices in the regularization weight parameter over relatively large ranges in the contrast-to-noise ratio of the tissue enhancement data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.