Abstract:
:Volumetric measurements obtained from image parcellation have been instrumental in uncovering structure-function relationships. However, anatomical study of the cerebellum is a challenging task. Because of its complex structure, expert human raters have been necessary for reliable and accurate segmentation and parcellation. Such delineations are time-consuming and prohibitively expensive for large studies. Therefore, we present a three-part cerebellar parcellation system that utilizes multiple inexpert human raters that can efficiently and expediently produce results nearly on par with those of experts. This system includes a hierarchical delineation protocol, a rapid verification and evaluation process, and statistical fusion of the inexpert rater parcellations. The quality of the raters' and fused parcellations was established by examining their Dice similarity coefficient, region of interest (ROI) volumes, and the intraclass correlation coefficient of region volume. The intra-rater ICC was found to be 0.93 at the finest level of parcellation.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Bogovic JA,Jedynak B,Rigg R,Du A,Landman BA,Prince JL,Ying SHdoi
10.1016/j.neuroimage.2012.08.075subject
Has Abstractpub_date
2013-01-01 00:00:00pages
616-29eissn
1053-8119issn
1095-9572pii
S1053-8119(12)00884-1journal_volume
64pub_type
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