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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.

28 test casesthorax, abdomenimage MR
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.
AccuracyCost
#MethodDiceSurface DiceHD95 mmTime sRAM GBGPU GBImages
1KonfAI segmentation app · TotalSegmentator (total_mr), the authors' packageGPUapp0.750 ±0.0190.445 ±0.01714.34 ±1.152311.13.0
2KonfAI segmentation app · TotalSegmentator (total_mr), KonfAI appGPUapp0.737 ±0.0200.422 ±0.01740.58 ±10.98272.54.0
3KonfAI segmentation app · MRSegmentator, KonfAI appGPUapp0.067 ±0.0110.024 ±0.003108.41 ±7.083.15.6

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
AccuracyCost
#MethodDiceSurface DiceHD95 mmTime sRAM GBGPU GBMachineImages
KonfAI segmentation app · TotalSegmentator (total_mr), KonfAI appGPUappolder run0.737 ±0.0200.422 ±0.01739.88 ±10.6362.27.3Laptop

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

The first test case of Pediatric thoracic dynamic MRI, six organs
The first test caseClick to look at every case.
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)
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