Info hash | 5a447ff50062194bd58dd11c0fedead59e6d873c |
Last mirror activity | 4:29 ago |
Size | 4.32GB (4,324,268,308 bytes) |
Added | 2019-04-27 17:55:16 |
Views | 1646 |
Hits | 2431 |
ID | 4161 |
Type | multi |
Downloaded | 686 time(s) |
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Folder | PROSTATEx |
Num files | 42121 files [See full list] |
Mirrors | 8 complete, 0 downloading = 8 mirror(s) total [Log in to see full list] |
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Type: Dataset
Tags:
Bibtex:
Tags:
Bibtex:
@article{, title= {PROSTATEx}, journal= {}, author= {Geert Litjens and Oscar Debats and Jelle Barentsz and Nico Karssemeijer, and Henkjan Huisman}, year= {}, url= {https://wiki.cancerimagingarchive.net/display/Public/SPIE-AAPM-NCI+PROSTATEx+Challenges}, abstract= {This collection is a retrospective set of prostate MR studies. All studies included T2-weighted (T2W), proton density-weighted (PD-W), dynamic contrast enhanced (DCE), and diffusion-weighted (DW) imaging. The images were acquired on two different types of Siemens 3T MR scanners, the MAGNETOM Trio and Skyra. T2-weighted images were acquired using a turbo spin echo sequence and had a resolution of around 0.5 mm in plane and a slice thickness of 3.6 mm. The DCE time series was acquired using a 3-D turbo flash gradient echo sequence with a resolution of around 1.5 mm in-plane, a slice thickness of 4 mm and a temporal resolution of 3.5 s. The proton density weighted image was acquired prior to the DCE time series using the same sequence with different echo and repetition times and a different flip angle. Finally, the DWI series were acquired with a single-shot echo planar imaging sequence with a resolution of 2 mm in-plane and 3.6 mm slice thickness and with diffusion-encoding gradients in three directions. Three b-values were acquired (50, 400, and 800), and subsequently, the ADC map was calculated by the scanner software. All images were acquired without an endorectal coil. https://i.imgur.com/dh121Ur.png ## Citation G. Litjens, O. Debats, J. Barentsz, N. Karssemeijer and H. Huisman. "Computer-aided detection of prostate cancer in MRI", IEEE Transactions on Medical Imaging 2014;33:1083-1092.}, keywords= {}, terms= {}, license= {}, superseded= {} }