Pediatric thoracic dynamic MRI, six organs
Dynamic MR of one healthy child's thorax and upper abdomen, at end expiration or end inspiration, with the lungs, liver, spleen and kidneys segmented.
Read before comparing (2)
- Cases. Both images of each PediatricThoraxMR pair, as delivered, on that pair's side of the split, so a child's two phases are in one split.
- Images. Free-breathing 3 T true-FISP, 40 sagittal slices at each of about 35 positions over several breathing cycles. The authors' OFx method picks one slice per position and phase to build one cycle, then standardises each volume's intensities. A volume stacks slices from different cycles, so steps between neighbouring slices belong to the images. The archive holds only the end-expiration and end-inspiration volumes.
| Accuracy | Cost | |||||||
|---|---|---|---|---|---|---|---|---|
| # | Method | Dice | Surface Dice | HD95 mm | Time s | RAM GB | GPU GB | Images |
| 1 | KonfAI segmentation app · TotalSegmentator (total_mr), the authors' packageGPUapp | 0.750 ±0.019 | 0.445 ±0.017 | 14.34 ±1.15 | 23 | 11.1 | 3.0 | |
| 2 | KonfAI segmentation app · TotalSegmentator (total_mr), KonfAI appGPUapp | 0.737 ±0.020 | 0.422 ±0.017 | 40.58 ±10.98 | 27 | 2.5 | 4.0 | |
| 3 | KonfAI segmentation app · MRSegmentator, KonfAI appGPUapp | 0.067 ±0.011 | 0.024 ±0.003 | 108.41 ±7.08 | 3.1 | 5.6 | ||
The order averages each method's ranks on Dice, Surface Dice, HD95 mm, so the first one is not always the best in every column. ± is the 95% interval of the mean over the 28 cases. Two neighbours are tied when a paired Wilcoxon test on the shared cases does not find the upper one better on Dice (5%): the places a method could hold are then shown under its own. The best value of each column is in colour. Click a row to see its images, a column title to sort by it. Time and memory measured on Workstation.
1 result not ranked: an older run, cases still missing, or a failure on every case
| Accuracy | Cost | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| # | Method | Dice | Surface Dice | HD95 mm | Time s | RAM GB | GPU GB | Machine | Images |
| KonfAI segmentation app · TotalSegmentator (total_mr), KonfAI appGPUappolder run | 0.737 ±0.020 | 0.422 ±0.017 | 39.88 ±10.63 | 6 | 2.2 | 7.3 | Laptop | ||
Dice: how much the organ contours overlap, 1 is perfect. Surface Dice: the share of the contours' surfaces within a tolerance of each other, 1 is perfect. HD95: distance between the contours' surfaces.
Case by case
Click a score to look at that result: the image, the truth in green and the method's map in red. Underlined scores have their image; for the others you see the case without the result.
About the data
- Truth
- contours by a program, verified by people the dataset's masks at both phases: left lung (1), right lung (2), liver (3), spleen (4), left kidney (5), right kidney (6)
- Source
- doi.org/10.5061/dryad.vmcvdnczf
www.mipg.upenn.edu/Vnews/mipg_data_share/Thorax_dMRI.html
doi.org/10.1117/12.3006807
doi.org/10.1016/j.media.2021.102088 - Licence
- CC0 1.0
24 cases for tuning, never tested
VGC264/fixed, VGC264/moving, VGC265/fixed, VGC265/moving, VGC266/fixed, VGC266/moving, VGC484/fixed, VGC484/moving, VGC478/fixed, VGC478/moving, VGC442/fixed, VGC442/moving, VGC338/fixed, VGC338/moving, VGC272/fixed, VGC272/moving, VGC397/fixed, VGC397/moving, VGC322/fixed, VGC322/moving, VGC285/fixed, VGC285/moving, VGC430/fixed, VGC430/moving