Affiliation: Philips Research
- Automatic contour propagation in cine cardiac magnetic resonance imagesGilion Hautvast
Advanced Development Department, Philips Medical Systems Healthcare Informatics, 5680 DA Best, The Netherlands
IEEE Trans Med Imaging 25:1472-82. 2006..Consequently, the resulting contours can be used to accurately determine physiological parameters such as stroke volume and ejection fraction...
- Myocardial blood flow quantification from MRI by deconvolution using an exponential approximation basisGilion Hautvast
Imaging Systems MR, Philips Healthcare, Best 5684 PC, Netherlands
IEEE Trans Biomed Eng 59:2060-7. 2012..Together with automated respiratory motion correction myocardial contour delineation, the exponential deconvolution enables efficient and reproducible quantification of myocardial blood flow in clinical routine...
- Accurate computer-aided quantification of left ventricular parameters: experience in 1555 cardiac magnetic resonance studies from the Framingham Heart StudyGilion L T F Hautvast
MR, Imaging Systems, Philips Healthcare, Best, The Netherlands
Magn Reson Med 67:1478-86. 2012..Manual correction more than doubles analysis time, with minimal impact on left ventricular volumes and ejection fraction...
- Quantitative analysis of transmural gradients in myocardial perfusion magnetic resonance imagesG L T F Hautvast
Philips Healthcare, Imaging Systems, MR, Best, The Netherlands
Magn Reson Med 66:1477-87. 2011..Thus, the new measurements may serve as diagnostic markers for the detection and characterization of epicardial coronary and microvascular disease...