Project: | NYU machine learning data |
Anatomy: | Knee |
Fullysampled: | Yes |
Uploader: | florianknoll |
Tags: |
UUID | 9616b2e4-81fc-4bd5-bee0-e3aac05cd0a5 |
---|---|
Downloads | 880 |
References | Hammernik K, Klatzer T, Kobler E, Recht M, Sodickson D, Pock T, Knoll F. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Magnetic Resonance in Medicine 79: 3055–3071 (2018) |
Comments | This is part of the training and test data that was used for our 2017 MRM manuscript on learning a variational network to reconstruct accelerated MR data. The data accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork. |
Funding Support | NIH P41 EB017183 |
Protocol Name | COR |
Series Description | COR |
System Vendor | SIEMENS |
System Model | Skyra |
System Field Strength | 2.89362 T |
Receiver Bandwidth | 0.793 |
Number of Channels | 15 |
Coil Name | TxRx_15Ch_Knee:1:K5 |
Institution Name | HJD |
Matrix Size | 640 x 368 x 1 |
Field Of View | 280 mm x 161.4 mm x 4.5 mm |
Number of Averages | 1 |
Number of Slices | 33 |
Number of Phases | 1 |
Number of Repetition | 1 |
Number of Contrasts | 1 |
Trajectory | cartesian |
Parallel Imaging Factor | 1.0 x 1.0 |
Repetition Time | 2870 ms |
Echo Time | 33 ms |
Inversion Time | 100 ms |
Flip Angle | 180 ° |
Sequence Type | TurboSpinEcho |
Echo Spacing | 10.96 ms |
Upload Date | Aug. 6, 2018, 12:14 p.m. |
Project: | NYU machine learning data |
Anatomy: | Knee |
Fullysampled: | Yes |
Uploader: | florianknoll |
Tags: |
UUID | 4ed55066-656a-46aa-af95-81667b4f565b |
---|---|
Downloads | 882 |
References | Hammernik K, Klatzer T, Kobler E, Recht M, Sodickson D, Pock T, Knoll F. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Magnetic Resonance in Medicine 79: 3055–3071 (2018) |
Comments | This is part of the training and test data that was used for our 2017 MRM manuscript on learning a variational network to reconstruct accelerated MR data. The data accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork. |
Funding Support | NIH P41 EB017183 |
Protocol Name | COR |
Series Description | COR |
System Vendor | SIEMENS |
System Model | Skyra |
System Field Strength | 2.89362 T |
Receiver Bandwidth | 0.793 |
Number of Channels | 15 |
Coil Name | TxRx_15Ch_Knee:1:K5 |
Institution Name | HJD |
Matrix Size | 640 x 368 x 1 |
Field Of View | 280 mm x 161.4 mm x 4.5 mm |
Number of Averages | 1 |
Number of Slices | 36 |
Number of Phases | 1 |
Number of Repetition | 1 |
Number of Contrasts | 1 |
Trajectory | cartesian |
Parallel Imaging Factor | 1.0 x 1.0 |
Repetition Time | 2870 ms |
Echo Time | 33 ms |
Inversion Time | 100 ms |
Flip Angle | 180 ° |
Sequence Type | TurboSpinEcho |
Echo Spacing | 10.96 ms |
Upload Date | Aug. 6, 2018, 12:12 p.m. |
Project: | NYU machine learning data |
Anatomy: | Knee |
Fullysampled: | Yes |
Uploader: | florianknoll |
Tags: |
UUID | be92c2de-4b73-4f07-a081-73973bf5d037 |
---|---|
Downloads | 881 |
References | Hammernik K, Klatzer T, Kobler E, Recht M, Sodickson D, Pock T, Knoll F. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Magnetic Resonance in Medicine 79: 3055–3071 (2018) |
Comments | This is part of the training and test data that was used for our 2017 MRM manuscript on learning a variational network to reconstruct accelerated MR data. The data accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork. |
Funding Support | NIH P41 EB017183 |
Protocol Name | COR |
Series Description | COR |
System Vendor | SIEMENS |
System Model | Skyra |
System Field Strength | 2.89362 T |
Receiver Bandwidth | 0.793 |
Number of Channels | 15 |
Coil Name | TxRx_15Ch_Knee:1:K5 |
Institution Name | HJD |
Matrix Size | 640 x 368 x 1 |
Field Of View | 280 mm x 161.4 mm x 4.5 mm |
Number of Averages | 1 |
Number of Slices | 38 |
Number of Phases | 1 |
Number of Repetition | 1 |
Number of Contrasts | 1 |
Trajectory | cartesian |
Parallel Imaging Factor | 1.0 x 1.0 |
Repetition Time | 3010 ms |
Echo Time | 33 ms |
Inversion Time | 100 ms |
Flip Angle | 180 ° |
Sequence Type | TurboSpinEcho |
Echo Spacing | 10.96 ms |
Upload Date | Aug. 6, 2018, 12:10 p.m. |
Project: | NYU machine learning data |
Anatomy: | Knee |
Fullysampled: | Yes |
Uploader: | florianknoll |
Tags: |
UUID | 812594f8-1bbb-4855-8de8-9b24beb68dcc |
---|---|
Downloads | 937 |
References | Hammernik K, Klatzer T, Kobler E, Recht M, Sodickson D, Pock T, Knoll F. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Magnetic Resonance in Medicine 79: 3055–3071 (2018) |
Comments | This is part of the training and test data that was used for our 2017 MRM manuscript on learning a variational network to reconstruct accelerated MR data. The data accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork. |
Funding Support | NIH P41 EB017183 |
Protocol Name | COR |
Series Description | COR |
System Vendor | SIEMENS |
System Model | Skyra |
System Field Strength | 2.89362 T |
Receiver Bandwidth | 0.793 |
Number of Channels | 15 |
Coil Name | TxRx_15Ch_Knee:1:K5 |
Institution Name | HJD |
Matrix Size | 640 x 368 x 1 |
Field Of View | 280 mm x 161.4 mm x 4.5 mm |
Number of Averages | 1 |
Number of Slices | 40 |
Number of Phases | 1 |
Number of Repetition | 1 |
Number of Contrasts | 1 |
Trajectory | cartesian |
Parallel Imaging Factor | 1.0 x 1.0 |
Repetition Time | 3170 ms |
Echo Time | 33 ms |
Inversion Time | 100 ms |
Flip Angle | 180 ° |
Sequence Type | TurboSpinEcho |
Echo Spacing | 10.96 ms |
Upload Date | Aug. 6, 2018, 12:08 p.m. |
Project: | Stanford 2D FSE |
Anatomy: | Unknown |
Fullysampled: | Yes |
Uploader: | jycheng |
Tags: |
UUID | dc65aadd-b474-48ef-a5e2-c9e7e0c4b5eb |
---|---|
Downloads | 1088 |
Comments | https://github.com/MRSRL/mridata-recon/ UUID:d7ac37c0-422a-581a-8a7d-8bd740e5b3ef_Ser5 |
Funding Support | NIH R01 EB009690 |
Protocol Name | |
Series Description | |
System Vendor | GE MEDICAL SYSTEMS |
System Model | Orchestra SDK |
System Field Strength | 3.0 T |
Receiver Bandwidth | 41.669998 |
Number of Channels | 20 |
Coil Name | C-GE_32Ch Torso Upper |
Station Name | ANONYMIZED |
Matrix Size | 352 x 232 x 28 |
Field Of View | 200.0 mm x 200.0 mm x 4.5 mm |
Number of Slices | 28 |
Number of Phases | 1 |
Number of Contrasts | 1 |
Trajectory | cartesian |
Repetition Time | 900 ms |
Echo Time | 8.4 ms |
Flip Angle | 111 ° |
Sequence Type | SE |
Upload Date | Aug. 6, 2018, 12:03 a.m. |
Project: | Stanford 2D FSE |
Anatomy: | Unknown |
Fullysampled: | Yes |
Uploader: | jycheng |
Tags: |
UUID | f286f257-b311-4bed-8f11-816d29603002 |
---|---|
Downloads | 1096 |
Comments | https://github.com/MRSRL/mridata-recon/ UUID:ce841757-e64c-5256-9461-56943ddeb0ab_Ser3 |
Funding Support | NIH R01 EB009690 |
Protocol Name | |
Series Description | |
System Vendor | GE MEDICAL SYSTEMS |
System Model | Orchestra SDK |
System Field Strength | 3.0 T |
Receiver Bandwidth | 41.669998 |
Number of Channels | 8 |
Coil Name | C-GE_HD Foot Ankle |
Station Name | ANONYMIZED |
Matrix Size | 320 x 180 x 36 |
Field Of View | 180.0 mm x 180.0 mm x 3.5 mm |
Number of Slices | 36 |
Number of Phases | 1 |
Number of Contrasts | 1 |
Trajectory | cartesian |
Repetition Time | 3951 ms |
Echo Time | 54 ms |
Flip Angle | 111 ° |
Sequence Type | SE |
Upload Date | Aug. 6, 2018, 12:01 a.m. |
Project: | Stanford 2D FSE |
Anatomy: | Unknown |
Fullysampled: | Yes |
Uploader: | jycheng |
Tags: |
UUID | 91d23736-6bf6-405e-a555-eb7e7b086349 |
---|---|
Downloads | 1113 |
Comments | https://github.com/MRSRL/mridata-recon/ UUID:d7ac37c0-422a-581a-8a7d-8bd740e5b3ef_Ser4 |
Funding Support | NIH R01 EB009690 |
Protocol Name | |
Series Description | |
System Vendor | GE MEDICAL SYSTEMS |
System Model | Orchestra SDK |
System Field Strength | 3.0 T |
Receiver Bandwidth | 41.669998 |
Number of Channels | 20 |
Coil Name | C-GE_32Ch Torso Upper |
Station Name | ANONYMIZED |
Matrix Size | 384 x 232 x 28 |
Field Of View | 200.0 mm x 200.0 mm x 4.5 mm |
Number of Slices | 28 |
Number of Phases | 1 |
Number of Contrasts | 1 |
Trajectory | cartesian |
Repetition Time | 4476 ms |
Echo Time | 30 ms |
Flip Angle | 111 ° |
Sequence Type | RM |
Upload Date | Aug. 6, 2018, midnight |
Project: | Stanford 2D FSE |
Anatomy: | Unknown |
Fullysampled: | Yes |
Uploader: | jycheng |
Tags: |
UUID | f0e12329-bf14-402c-a437-11ab0ad5ad6c |
---|---|
Downloads | 1131 |
Comments | https://github.com/MRSRL/mridata-recon/ UUID:e8b3b4c6-281d-5852-9d28-c3b7c00165cb_Ser8 |
Funding Support | NIH R01 EB009690 |
Protocol Name | |
Series Description | |
System Vendor | GE MEDICAL SYSTEMS |
System Model | Orchestra SDK |
System Field Strength | 3.0 T |
Receiver Bandwidth | 62.5 |
Number of Channels | 32 |
Coil Name | C-GE_32Ch Cardiac |
Station Name | ANONYMIZED |
Matrix Size | 320 x 168 x 27 |
Field Of View | 240.0 mm x 240.0 mm x 4 mm |
Number of Slices | 27 |
Number of Phases | 1 |
Number of Contrasts | 1 |
Trajectory | cartesian |
Repetition Time | 9230.8 ms |
Echo Time | 80 ms |
Flip Angle | 111 ° |
Sequence Type | SE |
Upload Date | Aug. 5, 2018, 11:59 p.m. |
Project: | Stanford 2D FSE |
Anatomy: | Unknown |
Fullysampled: | Yes |
Uploader: | jycheng |
Tags: |
UUID | 7b2c6a8a-0cff-4eb1-84ed-7dd490563181 |
---|---|
Downloads | 1123 |
Comments | https://github.com/MRSRL/mridata-recon/ UUID:cd27d032-0921-5ffd-9108-3152e989a9be_Ser6 |
Funding Support | NIH R01 EB009690 |
Protocol Name | |
Series Description | |
System Vendor | GE MEDICAL SYSTEMS |
System Model | Orchestra SDK |
System Field Strength | 3.0 T |
Receiver Bandwidth | 62.5 |
Number of Channels | 20 |
Coil Name | C-GE_32Ch Torso Upper |
Station Name | ANONYMIZED |
Matrix Size | 320 x 168 x 40 |
Field Of View | 300.0 mm x 300.0 mm x 5 mm |
Number of Slices | 40 |
Number of Phases | 1 |
Number of Contrasts | 1 |
Trajectory | cartesian |
Repetition Time | 11111.1 ms |
Echo Time | 80 ms |
Flip Angle | 111 ° |
Sequence Type | SE |
Upload Date | Aug. 5, 2018, 11:57 p.m. |
Project: | Stanford 2D FSE |
Anatomy: | Unknown |
Fullysampled: | Yes |
Uploader: | jycheng |
Tags: |
UUID | 40861cf7-6646-4392-b8a5-0f180ebdb31e |
---|---|
Downloads | 1091 |
Comments | https://github.com/MRSRL/mridata-recon/ UUID:c739224e-d80d-5c45-ad62-94f6186dde44_Ser3 |
Funding Support | NIH R01 EB009690 |
Protocol Name | |
Series Description | |
System Vendor | GE MEDICAL SYSTEMS |
System Model | Orchestra SDK |
System Field Strength | 3.0 T |
Receiver Bandwidth | 41.669998 |
Number of Channels | 16 |
Coil Name | C-GE_32Body RT Bone |
Station Name | ANONYMIZED |
Matrix Size | 352 x 188 x 25 |
Field Of View | 370.0 mm x 370.0 mm x 4.5 mm |
Number of Slices | 25 |
Number of Phases | 1 |
Number of Contrasts | 1 |
Trajectory | cartesian |
Repetition Time | 910 ms |
Echo Time | 8.6 ms |
Flip Angle | 111 ° |
Sequence Type | SE |
Upload Date | Aug. 5, 2018, 11:56 p.m. |