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OpenEar, temporal-bone CBCT segmentation

Registered CBCT of one post-mortem temporal-bone specimen from the OpenEar surgical simulation library, with thirteen structures delineated on the co-registered CBCT and micro-slicing images.

4 test caseshead and neckimage CBCT
Read before comparing (6)
  • Images. GAMMA, DELTA, EPSILON, ZETA, ETA and THETA use the registered CBCT_Unembedded, the full specimen the temporal bone, sinus/dura and carotid annotations describe (source Table 1); ALPHA has no unembedded scan and uses CBCT_Alpha, after cutting and embedding. CBCT values and geometry are kept.
  • Labels. The component masks are sampled by nearest neighbour onto the CBCT grid through their released headers, with no new registration; DELTA's masks have half the CBCT's voxel spacing. Twelve of the thirteen common structures are scored; ALPHA's RW and Duct components are not included.
  • Truth. The small structures were drawn on the embedded CBCT and the micro-slicing images and reach the full-specimen CBCT through the provider's registration; preparation can shrink soft tissue and micro-slicing deform it. No in-vivo clinical accuracy claim follows, and the small sample and unknown donor linkage require a separate track.
  • Ignored. ignore.nii.gz is taken out of truth and prediction before scoring: voxels two structures claim after grid conversion, the sinus_and_dura mask and every voxel outside the provider's segmentation box. It covers 18 to 50% of a grid, almost all air or background.
  • Sinus and dura. Label 12 is a drawn volume that fills the empty space on the bone's cranial side and ends on flat faces, at the background's values: a method cannot find its outer faces from the image. At most 0.4% of a specimen's bone-dense voxels lie in it, so ignoring it costs almost nothing.
  • Unlabelled bone. Bone inside the box that the provider left out of temporal_bone is still scored: 5.9% of the bone-dense voxels on EPSILON (test), 3.2% on DELTA and 5.3% on ZETA, 1.5% or less on the others. A method that labels all the bone is charged for it.

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

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 OpenEar, temporal-bone CBCT segmentation
The first test caseClick to look at every case.
Test cases
Four test and three development specimens, drawn in seed-2026 order from the seven with a registered CBCT in the release; BETA has none and is left out. The paper reports four donors but the files do not give donor grouping, so this split does not establish donor independence.
Truth
contours by experts Threshold-supported manual segmentation in 3D Slicer using the registered CBCT and micro-slicing data. Names identify the component masks; their order differs between specimens. Twelve structures are scored; the provider's combined sinus/dura mask (12) is not (ignore map).
Licence
CC BY 4.0
3 cases for tuning, never tested

DELTA, ZETA, GAMMA