Data

Registered quantitative susceptibility mapping image collection of mouse model concussion

The University of Queensland
Associate Professor Fatima Nasrallah (Aggregated by) Associate Professor Fatima Nasrallah (Aggregated by) Dr Xuan Vinh To (Aggregated by) Dr Xuan Vinh To (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/98780e7&rft.title=Registered quantitative susceptibility mapping image collection of mouse model concussion&rft.identifier=RDM ID: feeb3520-b179-11ed-a04c-27d1558fa9cc&rft.publisher=The University of Queensland&rft.description=A collection of spatially registered and fitted quantitative susceptibility maps of a mouse model of concussion. Multi-echo GRE-MRI (mGRE-MRI) data was acquired using a 3D multi-echo spoiled gradient recalled echo (GRE) sequence with fat saturation, flow saturation, and FOV saturation (FOV saturation boxes covering the head and neck tissues outside the imaging FOV), monopolar readout, and the following parameters: matrix size = 160 x 160 x 160, FOV size = 16 x 16 x 16 mm3, effectively resulting in a 0.1 mm3 isotropic spatial resolution, TR = 50 ms, 8 echoes with minTE/ΔTE/maxTE = 2.654/3.247/25.382 ms, flip angle = 13.5, bandwidth 400.641 Hz/px. Masked phase data from mGRE-MRI scans were used to reconstruct QSM images via STI Suite (v.3.0).33 Raw phase data were unwrapped using a Laplacian-based phase unwrapping method.34 Background phase removal was performed using the V-SHARP method35 with filter size of 6. The inverse QSM problem was solved from local tissue phase values using the iLSQR method. Data was registered using ANTs&rft.creator=Associate Professor Fatima Nasrallah&rft.creator=Associate Professor Fatima Nasrallah&rft.creator=Dr Xuan Vinh To&rft.creator=Dr Xuan Vinh To&rft.date=2023&rft_rights=2022, The University of Queensland&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Central Nervous System&rft_subject=MEDICAL AND HEALTH SCIENCES&rft_subject=NEUROSCIENCES&rft.type=dataset&rft.language=English Access the data
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Queensland Brain Institute

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A collection of spatially registered and fitted quantitative susceptibility maps of a mouse model of concussion. Multi-echo GRE-MRI (mGRE-MRI) data was acquired using a 3D multi-echo spoiled gradient recalled echo (GRE) sequence with fat saturation, flow saturation, and FOV saturation (FOV saturation boxes covering the head and neck tissues outside the imaging FOV), monopolar readout, and the following parameters: matrix size = 160 x 160 x 160, FOV size = 16 x 16 x 16 mm3, effectively resulting in a 0.1 mm3 isotropic spatial resolution, TR = 50 ms, 8 echoes with minTE/ΔTE/maxTE = 2.654/3.247/25.382 ms, flip angle = 13.5, bandwidth 400.641 Hz/px. Masked phase data from mGRE-MRI scans were used to reconstruct QSM images via STI Suite (v.3.0).33 Raw phase data were unwrapped using a Laplacian-based phase unwrapping method.34 Background phase removal was performed using the V-SHARP method35 with filter size of 6. The inverse QSM problem was solved from local tissue phase values using the iLSQR method. Data was registered using ANTs

Issued: 21 02 2023

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Subjects
Central Nervous System | Medical and Health Sciences | Neurosciences | eng |

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Identifiers
ACN 633 798 857