Browsing by Author "Schaeffter, T."
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- Item100% Efficient three-dimensional coronary MR angiography with two-dimensional beat-to-beat translational and bin-to-bin affine motion correction(2015) Aitken, A.; Henningsson, M.; Botnar, René Michael; Schaeffter, T.; Prieto Vásquez, Claudia
- ItemCardiac functional assessment without electrocardiogram using physiological self-navigation(2014) Kolbitsch, C.; Prieto, C.; Schaeffter, T.PurposeElectrocardiogram (ECG)-gated cine MRI provides highly accurate functional assessment of the heart. Nevertheless, reliable ECG signals are not always available due to patient's electrophysiology or due to high MR field strengths. Here, a novel framework for cardiac functional assessment using physiological information is presented, which is obtained from MR image data.
- ItemCompressive Manifold Learning: Estimating One-Dimensional Respiratory Motion Directly from Undersampled k-Space Data(2014) Usman, M.; Vaillant, G.; Atkinson, D.; Schaeffter, T.; Prieto Vásquez, Claudia
- ItemHighly efficient 3D motion-compensated abdomen MRI from undersampled golden-RPE acquisitions(2013) Buerger, C.; Prieto Vásquez, Claudia; Schaeffter, T.
- ItemHighly Efficient Respiratory Motion Compensated Free-Breathing Coronary MRA Using Golden-Step Cartesian Acquisition(2015) Prieto Vásquez, Claudia; Doneva, M.; Usman, M.; Henningsson, M.; Greil, G.; Schaeffter, T.; Botnar, René Michael
- ItemMotion corrected compressed sensing for free-breathing dynamic cardiac MRI(2013) Usman, M.; Atkinson, D.; Odille, F.; Kolbitsch, C.; Vaillant, G.; Schaeffter, T.; Batchelor, P.; Prieto Vásquez, Claudia
- ItemNonrigid motion modeling of the liver from 3-D undersampled self-gated golden-radial phase encoded MRI(2012) Buerger, C.; Clough, R.E.; King, A.P.; Schaeffter, T.; Prieto, C.Magnetic resonance imaging (MRI) has been commonly used for guiding and planning image guided interventions since it provides excellent soft tissue visualization of anatomy and allows motion modeling to predict the position of target tissues during the procedure. However, MRI-based motion modeling remains challenging due to the difficulty of acquiring multiple motion-free 3-D respiratory phases with adequate contrast and spatial resolution. Here, we propose a novel retrospective respiratory gating scheme from a 3-D undersampled high-resolution MRI acquisition combined with fast and robust image registrations to model the nonrigid deformation of the liver. The acquisition takes advantage of the recently introduced golden-radial phase encoding (G-RPE) trajectory. G-RPE is self-gated, i.e., the respiratory signal can be derived from the acquired data itself, and allows retrospective reconstructions of multiple respiratory phases at any arbitrary respiratory position. Nonrigid motion modeling is applied to predict the liver deformation of an average breathing cycle. The proposed approach was validated on 10 healthy volunteers. Motion model accuracy was assessed using similarity-, surface-, and landmark-based validation methods, demonstrating precise model predictions with an overall target registration error of TRE = 1.70 +/- 0.94 mm which is within the range of the acquired resolution.
- ItemPatient-specific respiratory models using dynamic 3D MRI : Preliminary volunteer results(2013) Miquel, M.; Blackall, J.; Uribe Arancibia, Sergio A.; Hawkes, D.; Schaeffter, T.
- ItemProspective high-resolution respiratory-resolved whole-heart MRI for image-guided cardiovascular interventions(2012) Kolbitsch, C.; Prieto, C.; Buerger, C.; Harrison, J.; Razavi, R.; Smink, J.; Schaeffter, T.
- ItemThree-dimensional late gadolinium-enhanced MR imaging of the left atrium: A comparison of spiral versus Cartesian k-space trajectories(2014) Knowles, B.; Peters, D.; Clough, R.; Razavi, R.; Schaeffter, T.; Prieto Vásquez, Claudia
- ItemWhole left ventricular functional assessment from two minutes free breathing multi-slice CINE acquisitio(2015) Usman, M.; Atkinson, D.; Heathfield, E.; Greil, G.; Schaeffter, T.; Prieto Vásquez, Claudia