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Pediatric-CT-SEG

Chest-abdomen-pelvis or abdomen-pelvis CT of two children of one sex and about one age, from three scanners of one hospital, with up to 28 structures contoured (Pediatric-CT-SEG), paired by us.

17 test pairsthorax, abdomeninter-patientfixed CT, moving CTaligned once by the benchmark
Read before comparing (9)
  • Pairs. In each sex the children are sorted by age, then by the seed, and paired two by two: one age in years, one year apart for 11 of the 179 pairs. One girl is left out. One sex a pair lets the gonads label one organ, and the age bands bring infants, school children and teenagers.
  • Truth. Four medical analysts drew 25 structures by hand, the lungs and bones came from thresholds corrected by hand, and a radiation oncologist reviewed them all. The skin, a 2-mm band under the body's outline, is left out.
  • Structures. A structure out of the scan range or too noisy on a low-dose scan was not drawn, and the prostate and uterus belong to one sex. A structure is scored on a pair when both children hold it, 17 to 27 on the test pairs.
  • Alignment. The scans come in their own frames, up to 0.6 m apart. The moving CT's and labels' headers carry one elastix translation on mutual information inside each body, no structure used. Size differences, and a chest-abdomen-pelvis scan against an abdomen-pelvis one, are left to the methods.
  • Baseline. With no registration the 17 test pairs start at a Dice of 0.28 (0.17 to 0.47) and an HD95 of 35.1 mm (11.1 to 78.2). A rigid fit on the structures' centres reached 0.34 on the first ten.
  • Scans. Protocols differ in voltage, dose, reconstruction and contrast agent. Some scans show central lines, feeding tubes, wires or diapers, and some organs have an unusual size: the fixed child of 3B5CED31_397 has a large liver and spleen.
  • Slices. 297 scans were resampled to 2-mm slices before contouring, which corrupted the first or last slices of some; they are left so. Child 377 misses two slices in its image and contours, each filled from its nearest neighbour.
  • Broken pair. Child D1572D48's structure set puts the large intestine around both shoulders, a femoral head in the right shoulder and the small intestine outside the body. Its pair stays in the pool so that the draw is unchanged.
  • Outside numbers. None: the pairing is ours.

No method has a result on every pair of this dataset yet.

AccuracySmoothnessCost
#MethodDiceChangeHD95 mmSDlogJFolds %Time sRAM GBGPU GBImages
No registration0.283 ±0.04635.13 ±8.390.0000.00
1 result not ranked: an older run, pairs still missing, or a failure on every pair
AccuracySmoothnessCost
#MethodDiceChangeHD95 mmSDlogJFolds %Time sRAM GBGPU GBMachineImages
ConvexAdam (MIND)GPUapp14/17 pairs0.423 ±0.063+0.14029.77 ±8.110.1341.15455.113.2Laptop

Dice: how much the organ contours overlap, 1 is perfect. HD95: distance between the contours' surfaces. SDlogJ: how irregular the deformation is, 0 is perfectly smooth. Folds: share of the image where the deformation folds over itself.

Pair by pair

Click a score to look at that result: the fixed image, and over it the moving image after registration, with the annotations. Underlined scores have their image; for the others you see the pair without the result. A green cell gained against no registration on that pair, a red one lost.

About the data

The first test case of Pediatric-CT-SEG
The first test caseClick to look at every case.
Test pairs
17 test pairs drawn with seed 2026 by age band among the 179, then 16 development pairs among the 162 left. 0D53FEEE_D1572D48, with broken contours, and 0C49C1B7_392, with a horseshoe kidney outside the dataset's table, never become development.
Truth
contours by experts up to 28 structures a child, the dataset's contours: 25 organs drawn by hand, the lungs and the bones from a threshold corrected by hand
Licence
CC BY 4.0
16 pairs for tuning, never tested

34ECBB32_8877A5A3, 379_385, AA032583_6A2228AD, 7C7F4414_51733317, 4EF8F066_8975C78C, 14403912_CF79E74B, B722C905_B9DA30EF, E69AC901_B0308EC6, 642CA0DF_691FB79F, 381_8538895B, B42CD321_F369B022, 3A4DE292_4934405E, 627003CD_5AEBE68F, 47CA11F8_491B83F3, 211F45E2_29ECC095, C7D4AEFA_792705D7