Notes:
Adding the results for the AutoSeg based multi-atlas neonate
Hippocampus and amygdala segmentation
6 subjects, healthy/typical subjects, anonymized
- Subjects accumulated from 3 different studies of neonates scanned
at Biomedical Image Research Center at the University of North
Carolina (UNC), as well as at the University of California, Irvine.
- Scans originated from whole-body 3T Siemens Tim Trio scanners at
UNC (4 cases) and UCI (2 cases).
- For these subjects a second set of T1weighted and T2weighted
scans were acquired in the same scanning session, as the first set
was considered of borderline quality by the scanning technicians.
In all these cases, subsequent quality control procedures by
trained image analysis experts showed all scans to pass quality
assessment for structural morphometric analysis.
- This small size neonate scan-rescan database captures the low
signal-to- noise and presence of motion very common in early
postnatal scans and thus is well suited to estimate reliability of
image processing procedures.
- As at least 50% of these images were assessed to be of borderline
quality by the scanner personnel, this scan-rescan database is
likely to overestimate the expected variability as compared to the
average setting.
Changes:
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