Abstract #3738

Semi-Automated 3D Cochlea Subregional Segmentation on T2-Weighted MRI Scans

William J Matloff¹, Daniel J Matloff¹, Arthur W Toga¹, Taeuk Cheon², Jangwook Gwak², Yehree Kim², Hong Ju Park², and Hosung Kim¹

¹Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ²Department of Otorhinolaryngology-Head and Neck Surgery, Asan Medical Center, Seoul, Korea, Republic of

For MRI-based studies of cochlea-related diseases, segmenting the cochlea and modiolus is often essential for quantifying disease-related morphological and intensity changes. Methods for automatic 3D segmentation of these structures on MRI scans, however, are not well established. We aimed to develop a semi-automated, multi-atlas based approach to segmenting the cochlea and modiolus, distinguishing between the cochlear basal and mid-apical turns. We found this approach to have good agreement with manual segmentation, demonstrating its potential in quantitative analyses. Moreover, the definition of the three subregions had good validity, as indicated by the high inter-rater agreement in segmentation.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.