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TRADITIONAL POSTER - ismrm

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Poster Sessions<br />

3043. T2-Prepared Segmented 3D-Gradient-Echo as Alternative to T2-Weighted TSE for Fast High-<br />

Resolution Three-Dimensional Imaging<br />

Jian Zhu 1,2 , Axel Bornstedt 1 , Vinzenz Hombach 1 , Alexander Oberhuber 3 , Genshan Ma 2 , Naifeng Liu 2 ,<br />

Volker Rasche 1<br />

1 Department of Internal Medicine II, University Hospital of Ulm, Ulm, Germany; 2 Department of Cardiology, Zhongda Hospital,<br />

Southeast University, Nanjing, China; 3 Department of Thorax and Vascular Surgery, University Hospital Ulm, Ulm<br />

Spin-echo and multi-spin echo sequences are still the gold standard for generation of a T2 – weighted image contrast. A major drawback of this technique<br />

rises from the long repetition times required for achieving sufficient recovery of the longitudinal magnetization, which cause long acquisition times<br />

especially in high-resolution volumetric imaging. In this study, the use of a fast gradient echo sequence with T2 preparation is investigated for generating a<br />

T2 weighted image contrast similar to a multi-spin echo approach, but with an up to 8-fold reduction of the acquisition time.<br />

3044. Differential Subsampling with Cartesian Ordering (DISCO): A Novel K-Space Ordering Scheme for<br />

Dynamic MRI<br />

Dan Rettmann 1 , Manojkumar Saranathan 1 , James Glockner 2<br />

1 Applied Science Lab, GE Healthcare, Rochester, MN, United States; 2 Radiology, Mayo Clinic, Rochester, MN, United States<br />

Dynamic contrast enhanced MRI (DCEMRI) and MR angiography (MRA) are both beset by the conflicting requirements of spatial and temporal resolution.<br />

Various schemes have been proposed and evaluated for high spatio-temporal resolution MR imaging which incorporate combinations of partial Fourier<br />

imaging, sub-sampling, view sharing and parallel imaging to effect acceleration. We propose DISCO (DIfferential Subsampling with Cartesian Ordering), a<br />

flexible k-space segmentation scheme that minimizes sensitivity to eddy currents and motion for dynamic imaging while dispersing artifacts and residual<br />

ghosting and demonstrate its use in first pass contrast enhanced liver imaging.<br />

Motion Correction<br />

Hall B Tuesday 13:30-15:30<br />

3045. Advancements in Contact-Free Respiration Monitoring Using RF Pick-Up Coils<br />

Ingmar Graesslin 1 , Giel Mens 2 , Alexander Guillaume 1 , Henry Stahl 3 , Peter Koken 1 , Peter Vernickel 1 , Paul<br />

Harvey 2 , Jouke Smink 2 , Kay Nehrke 1 , Peter Boernert 1<br />

1 Philips Research Europe, Hamburg, Germany; 2 Philips Healthcare, Best, Netherlands; 3 FH Westküste, Heide, Germany<br />

Advanced methods of motion detection and motion artifact reduction help to improve diagnostic image quality. The use of conventional navigators requires<br />

additional planning and adversely influences the steady state, which can result in image artifacts. A new approach was presented that uses the detection of<br />

changes of RF coil loading induced by the respiratory motion of the patient. This paper describes the application of a real-time self-navigated respiration<br />

monitoring approach using dedicated RF monitoring pulses instead the RF excitations of the imaging sequence. RF amplifier drift is analyzed, and a<br />

compensation scheme is proposed to overcome this problem.<br />

3046. 3D TOF Angiography Using Real Time Optical Motion Correction with a Geometric Encoded Marker<br />

Daniel Kopeinigg 1,2 , Murat Aksoy 1 , Christoph Forman 3 , Roland Bammer 1<br />

1 Department of Radiology, Stanford University, Palo Alto, CA, United States; 2 Institute of Medical Engineering, University of<br />

Technology Graz, Graz, Austria; 3 Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany<br />

Correction of motion artifacts is an ongoing and very important task in MRI. This motion, most often introduced by patients that suffer from a medical<br />

condition, which makes it difficult to remain motionless during MRI acquisitions, can significantly corrupt the resulting images and their diagnostic value. In<br />

this study we show first in-vivo results of our prospective optical motion correction system applied to three-dimensional time of flight (3D TOF)<br />

angiography. Results show that compared to the non-motion corrected case the real-time motion correction is able to dramatically improve image quality of<br />

3D TOF angiograms.<br />

3047. Motion Characterisation Using FID Navigators and Spatial Pattern of MRI Coil Arrays<br />

Tobias Kober 1,2 , José P. Marques 1,3 , Rolf Gruetter 1,4 , Gunnar Krueger 2<br />

1 Laboratory for functional and metabolic imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; 2 Advanced<br />

Clinical Imaging Technology, Siemens Suisse SA - CIBM, Lausanne, Switzerland; 3 Department of Radiology, University of<br />

Lausanne, Lausanne, Switzerland; 4 Departments of Radiology, Universities of Lausanne and Geneva, Switzerland<br />

In this work we investigate the potential to characterise rigid-body head motion by monitoring free induction decay (FID) changes over time in coil arrays.<br />

The technique makes use of the fact that FID signals detected by local coil elements change as a function of object distance. Assuming a sufficient coverage<br />

of the scanned object with local coil elements, the inverse problem of back-calculation of the rigid motion parameters may be solvable. In this investigation,<br />

a framework to derive these motion parameters is developed and first results are shown from phantom and human scans using a 32-channel head coil array.<br />

3048. Iterative Motion Compensated Reconstruction<br />

Tim Nielsen 1 , Peter Boernert 1<br />

1 Philips Research Europe, Hamburg, Germany<br />

Motion during data acquisition can seriously degrade image quality. Motion compensated reconstruction can restore image quality if the motion is measured<br />

with suitable navigator signals. We present a new scheme for motion compensated reconstruction which can be applied to segmented Cartesian acquisitions<br />

(e.g. TSE, TFE). It can be combined with parallel imaging and is fast because it works mainly in the spatial domain avoiding many Fourier-transforms<br />

between k-space and image space. The motion is detected and quantified by adding an orbital navigator echo in front of the imaging echoes.

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