6533b833fe1ef96bd129ba0f

RESEARCH PRODUCT

Realignment of myocardial first-pass MR perfusion images using an automatic detection of the heart-lung interface

Paul WalkerFrançois BrunotteAlain LalandeAlexandre ComteS. Aho

subject

AdultGadolinium DTPAMaleComputer scienceInterface (computing)media_common.quotation_subjectMyocardial InfarctionBiomedical EngineeringBiophysicsContrast MediaImage registration030204 cardiovascular system & hematologySignal030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineCoronary CirculationImage Processing Computer-Assisted[INFO.INFO-IM]Computer Science [cs]/Medical ImagingmedicineHumansmagnetic resonance imagingContrast (vision)Radiology Nuclear Medicine and imagingComputer visionLeast-Squares AnalysisLungAgedmedia_commonLung[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingCardiac cyclemedicine.diagnostic_testMr perfusionbusiness.industrycontrast-enhanced first-passHeartMagnetic resonance imagingMiddle Agedimage registrationmedicine.anatomical_structureFemaleArtificial intelligencebusinessmyocardial perfusion

description

International audience; Abstract: Magnetic resonance first-pass imaging of a bolus of contrast agent is well adapted to distinguish normal and hypoperfused areas of the myocardium. In most cases, the signal intensity-time curves in user defined regions of interest (ROI) are studied. As image acquisition is ECG-gated, the images are acquired at the same moment in the cardiac cycle, and the basic shape of the heart is similar from one view to the next. However, superficial respiratory motion can displace the heart in the short-axis plane. The aim of this study is to correct for the respiratory motion of the heart by performing an automatic realignment of the myocardial ROI based on a method tracking the movement of the lung-myocardium interface. Visual and quantitative analyses performed on 120 curves show a very good concordance between two automatic methods and the manual one.

https://doi.org/10.1016/j.mri.2004.01.058