ELECTRONIC POSTER - ismrm
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ELECTRONIC POSTER - ismrm
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14:00 5036. Real-Time Motion Correction for High-Resolution Imaging of the Larynx:<br />
Implementation and Initial Results<br />
Joëlle Karine Barral 1 , Juan M. Santos 1 , Dwight G. Nishimura 1<br />
1 Electrical Engineering, Stanford University, Stanford, CA, United States<br />
Respiratory motion is currently the main limitation to high-resolution MR imaging of the larynx. A novel algorithm integrating<br />
Compressed Sensing and the Diminishing Variance Algorithm is proposed and implemented within the framework of the real-time<br />
system RTHawk. The effectiveness of the approach is demonstrated on phantoms and in vivo.<br />
14:30 5037. Real-Time Motion Detection for Structural Brain Imaging Using Multi-Coil FID<br />
Navigators<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,<br />
Switzerland; 2 Advanced Clinical Imaging Technology, Siemens Suisse SA - CIBM, Lausanne, Switzerland;<br />
3 Department of Radiology, University of Lausanne, Switzerland; 4 Departments of Radiology, Universities of<br />
Lausanne and Geneva, Switzerland<br />
Subject motion is often affecting the quality of MRI data. In this work, we investigate the feasibility to detect motion by monitoring<br />
repetitive FID navigator signals from arrays of receive coils. Object motion is shown to induce changes in the FID signal intensity. For<br />
proof of concept, the technique was applied to structural MP-RAGE scans of the brain. Subject motion was reliably detected. The<br />
technique has the potential to provide a scan quality measure and motion parameters for real-time or retrospective correction. It could<br />
be used in other MR sequences without time or signal penalty.<br />
15:00 5038. Real-Time Intra-Volume Motion Correction in EPI Using Active Markers<br />
Melvyn Boon King Ooi 1,2 , Sascha Krueger 3 , William J. Thomas 2 , Truman R. Brown 1,2<br />
1 Biomedical Engineering, Columbia University, New York, NY, United States; 2 Radiology, Columbia<br />
University, New York, NY, United States; 3 Philips Research Europe, Hamburg, Germany<br />
Head motion is a fundamental problem in fMRI. A prospective, slice-by-slice compensation strategy for rigid-body motion is<br />
presented for EPI sequences. Before the acquisition of each EPI-slice, a short tracking pulse-sequence is used to measure the positions<br />
of three micro RF-coil "active markers" integrated into a headband worn by the subject. During head motion, the rigid-body<br />
transformation that realigns these markers to their initial positions is fed back to update the image-plane – maintaining it at a fixed<br />
orientation relative to the head – before the next EPI-slice is acquired. EPI time-series are obtained that demonstrate real-time imageplane<br />
realignment during volunteer motion.<br />
Image Correction - Non-Motion<br />
Hall B Monday 14:00-16:00 Computer 122<br />
14:00 5039. Application of K-Space Energy Spectrum Analysis for Inherent and Dynamic B 0<br />
Mapping and Distortion Correction in DTI<br />
Trong-Kha Truong 1 , Nan-kuei Chen 1 , Allen W. Song 1<br />
1 Brain Imaging and Analysis Center, Duke University, Durham, NC, United States<br />
Diffusion tensor imaging (DTI) is vulnerable to spatial and temporal B 0 variations due to susceptibility effects, eddy currents, subject<br />
motion, physiological noise, and system instabilities, resulting in geometric distortions and subsequent errors in the derivation of the<br />
diffusion tensor. Here, we propose a novel method based on k-space energy spectrum analysis, which can inherently and dynamically<br />
generate a B 0 map from the k-space data for each baseline (b = 0) and diffusion-weighted image, without requiring any additional data<br />
acquisition, to effectively and efficiently correct for such artifacts and achieve a high spatial fidelity and accuracy.<br />
14:30 5040. A Blood Flow Navigator for Assessing Physiologic Noise in EPI Data<br />
Andre van der Kouwe 1 , Matthew Dylan Tisdall 1 , Oliver Hinds 1 , Aaron Hess 2 , David<br />
Salat 1 , Douglas Greve 1<br />
1 Radiology, Massachusetts General Hospital, Charlestown, MA, United States; 2 Biomedical Engineering,<br />
University of Cape Town, Cape Town, South Africa<br />
A rapid single slice EPI acquisition (neck blood flow navigator) is interleaved between slices of a conventional multislice 2D BOLD<br />
EPI acquisition in a single sequence that provides information with high temporal resolution describing blood flow in the major<br />
arteries of the neck. This signal is tightly coupled to blood flow in the brain and may be used to assess and correct for physiologic<br />
noise in the BOLD signal. Navigator images are reconstructed in real-time during acquisition and it is shown that the timing of the<br />
cardiac signal derived from the navigators closely matches the timing of the photoplethysmograph.<br />
15:00 5041. CINE Images of a Beating Rodent Cardiac Phantom<br />
Steven Fortune 1 , Ian Marshall 1 , Maurits A. Jansen 1 , Peter R. Hoskins 1 , Tom Anderson 1<br />
1 Medical Physics, University of Edinburgh, Edinburgh, United Kingdom<br />
Small animal cardiac MRI is challenging due to small dimensions and fast heart rates. In order to assist in the development and testing<br />
of MRI sequences a rodent cardiac phantom has been designed and tested. It consists of a single chamber of PVAC housed in a water<br />
bath, expanded by an external pump. Initial CINE images of the phantom show this phantom functions with similar parameters to a rat