Výsledky vyhledávání - "Nishimura Dwight G"

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BMART-Enabled Field-Map Combination of Projection-Reconstruction Phase-Cycled SSFP Cardiac Cine for Banding and Flow-Artifact Reduction

Autor: Datta, Anjali, Nishimura, Dwight G, Baron, Corey A

Purpose: To develop a method for banding-free bSSFP cardiac cine with substantially reduced flow artifacts. Methods: A projection-reconstruction (PR) trajectory is proposed for a frequency-modulated cine sequence, facilitating reconstruction of three

Externí odkaz: http://arxiv.org/abs/2102.11428

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Anisotropic field-of-views in radial imaging

Autor: Larson, Peder E. Z., Gurney, Paul T., Nishimura, Dwight G.

Publikováno v: IEEE Trans Med Imaging. 2008 Jan;27(1):47-57. PMID: 18270061

Radial imaging techniques, such as projection-reconstruction (PR), are used in magnetic resonance imaging (MRI) for dynamic imaging, angiography, and short-imaging. They are robust to flow and motion, have diffuse aliasing patterns, and support short

Externí odkaz: http://arxiv.org/abs/2101.04660

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High-Resolution, Respiratory-Resolved Coronary MRA Using a Phyllotaxis-Reordered Variable-Density 3D Cones Trajectory

Autor: Koundinyan, Srivathsan P., Baron, Corey A., Malave, Mario O., Ong, Frank, Addy, Nii Okai, Cheng, Joseph Y., Yang, Phillip C., Hu, Bob S., Nishimura, Dwight G.

Purpose: To develop a respiratory-resolved motion-compensation method for free-breathing, high-resolution coronary magnetic resonance angiography using a 3D cones trajectory. Methods: To achieve respiratory-resolved 0.98 mm resolution images in a cli

Externí odkaz: http://arxiv.org/abs/1910.12199

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Unraveling the Effect of Spatial Resolution and Scan Acceleration on 3D Image-Based Navigators for Respiratory Motion Tracking in Coronary MR Angiography

Autor: Koundinyan, Srivathsan P., Cheng, Joseph Y., Malave, Mario O., Yang, Phillip C., Hu, Bob S., Nishimura, Dwight G., Baron, Corey A.

Purpose: To study the accuracy of motion information extracted from beat-to-beat 3D image-based navigators (3D iNAVs) collected using a variable-density cones trajectory with different combinations of spatial resolutions and scan acceleration factors

Externí odkaz: http://arxiv.org/abs/1910.12185

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Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model

Autor: Malavé, Mario O., Baron, Corey A., Koundinyan, Srivathsan P., Sandino, Christopher M., Ong, Frank, Cheng, Joseph Y., Nishimura, Dwight G.

Purpose: To rapidly reconstruct undersampled 3D non-Cartesian image-based navigators (iNAVs) using an unrolled deep learning (DL) model for non-rigid motion correction in coronary magnetic resonance angiography (CMRA). Methods: An unrolled network is

Externí odkaz: http://arxiv.org/abs/1910.11414

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Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones

Autor: Zeng, David Y, Shaikh, Jamil, Nishimura, Dwight G, Vasanawala, Shreyas S, Cheng, Joseph Y

Purpose: Off-resonance artifact correction by deep-learning, to facilitate rapid pediatric body imaging with a scan time efficient 3D cones trajectory. Methods: A residual convolutional neural network to correct off-resonance artifacts (Off-ResNet) w

Externí odkaz: http://arxiv.org/abs/1810.00072

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