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14:00 3961. MRI Motion Compensation by Ultrasound Navigators<br />

Benjamin Matthew Schwartz 1 , Nathan McDannold 2<br />

1 Biophysics, Harvard University, Boston, MA, United States; 2 Radiology, Harvard Medical School, Boston,<br />

MA, United States<br />

A well-known technique to reduce motion artifacts uses MR navigator echoes to track the position of the object being imaged, and<br />

compensates for the motion using this position information. We demonstrate an analogous technique, tracking motion using A-line<br />

images from a single ultrasound transducer. The ultrasound data can be analyzed in real time for prospective motion correction, or<br />

processed offline for retrospective correction. Ultrasound navigation allows the use of unmodified pulse sequences, with attendant<br />

advantages in acquisition speed, steady-state polarization, and reduced engineering requirements. Future development includes<br />

multidimensional tracking and supplying position data to non-MR equipment.<br />

14:30 3962. Characterising Gradient Non-Linearities of a Split Gradient Coil in a Hybrid MRI-<br />

Linear Accelerator<br />

Sjoerd Crijns 1 , Johan Overweg 2 , Bas Raaymakers 1 , Jan Lagendijk 1<br />

1 Department of Radiotherapy, UMC Utrecht, Utrecht, Netherlands; 2 Medical Imaging Systems, Philips<br />

Research Europe, Hamburg, Germany<br />

The performance of a split gradient coil for MRI guided radiotherapy is evaluated in terms of geometrical accuracy.<br />

15:00 3963. Precise Co-Registration of SPECT and MRI for Small Animal Imaging Using a<br />

Common Animal Bed with External References:Visualization of Macrophage Distribution<br />

Within Inflammatory Lymph Nodes<br />

Masayuki Yamaguchi 1 , Daisuke Suzuki 1,2 , Ryosuke Shimizu 1,2 , Ryutaro Nakagami 1,3 ,<br />

Keisuke Tsuda 1 , Izumi Ogihara Umeda 1 , Yasuo Okuyama 2 , Kohki Yoshikawa 2 , Hirofumi<br />

Fujii 1,4<br />

1 Functional Imaging Division, National Cancer Center Hospital East, Kashiwa, Chiba, Japan; 2 Faculty of Health<br />

Sciences, Komazawa University, Setagaya, Tokyo, Japan; 3 Graduate School of Human Health Sciences, Tokyo<br />

Metropolitan University, Arakawa, Tokyo, Japan; 4 Institute for Bioinformatics Research and Development-<br />

Japan Science and Technology Agency, Chiyoda, Tokyo, Japan<br />

We tested the SPECT-MRI fusion technique to visualize regional lymph nodes involved in subacute inflammation arising from the<br />

lymphatic basin using a mouse model. Two to three weeks after the administration of Freund complete adjuvant to the foot pad, 99m Tc<br />

phytate high-resolution SPECT images of the hind limb were obtained using a small animal SPECT scanner equipped with 4 detectors<br />

with multi-pinhole collimators. These SPECT images were merged with MR images to provid precise anatomical information.<br />

SPECT-MRI fusion images showed swollen popliteal lymph nodes and the accumulation of 99m Tc at the periphery, suggesting the<br />

inhomogeneous distribution of macrophages within the swollen lymph nodes.<br />

Diffusion MRI<br />

Hall B Monday 14:00-16:00 Computer 54<br />

14:00 3964. Validating Validators: An Analysis of DW-MRI Hardware and Software Phantoms<br />

Paulo Rodrigues 1 , Vesna Prckovska 1 , W. L.P.M. Pullens 2 , Gustav J. Strijkers 3 , Anna<br />

Vilanova 1 , Bart M. ter Haar Romeny 1<br />

1 Biomedical Image Analysis, Eindhoven University of Technology, Eindhoven, Noord Brabant, Netherlands;<br />

2 Maatricht Brain Imaging Center, Maastricht University, Maastricht, Limburg, Netherlands; 3 Department of<br />

Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Noord Brabant, Netherlands<br />

Diffusion Weighted MRI techniques such as Diffusion Tensor Imaging (DTI) and High Angular Resolution Diffusion Imaging<br />

(HARDI) are emerging MRI techniques able to depict in-vivo brain’s connectivity map. There is a wide range of uses of these<br />

techniques; however, their application in a clinical setting requires thorough validation. This work aims to validate DTI and HARDI<br />

software phantoms, in regions of single and complex fiber bundles, w.r.t to hardware phantom and in-vivo human brain data.<br />

Knowledge of the accuracy of synthetic data can improve the evaluation of such algorithms, and advance the employment of DTI and<br />

HARDI into clinical environment.<br />

14:30 3965. Diffusion Imaging and Tractography on a Hardware Model of the Human Optic<br />

Chiasm<br />

Wilhelmus LPM Pullens 1 , Alard Roebroeck 1 , Rainer Goebel 1<br />

1 Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Limburg, Netherlands<br />

The human optic chiasm is an interesting, complex fiber structure, hard to image in vivo. Based on the anatomy, a DW-MRI phantom<br />

was constructed, offering the possibility to quantify tractography results, with little limits on imaging time, and it does not suffer from<br />

motion or cardiac pulsation artifacts. A detailed analysis of Constrained Spherical Deconvolution and tensor reconstructions was done,<br />

as well as quantitative (probabilistic) fiber tracking. These phantoms form ideal test objects to improve and validate imaging and<br />

quantitative DW-MRI tractography on complex fiber structures such as the optic chiasm.

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