Journal article
Automatic measurement of the labyrinth using image registration and a deformable inner ear atlas
Academic radiology, Vol.10(9), pp.988-999
2003
DOI: 10.1016/S1076-6332(03)00121-1
PMID: 13678087
Abstract
This article presents a new method for measuring the shape of the cochlea, vestibule, semi-circular canals, and internal auditory canal using image registration and a deformable inner ear atlas.
Computed tomography images of the inner ear are analyzed by placing them into a common orientation and then registering a digital atlas of the inner ear to the data set. The atlas is deformed from its original shape to match the shape of the inner ear in the computed tomography data set using inverse consistent elastic image registration. This process produces an individualized inner ear atlas containing subject-specific measurements and segmentations of the inner ear anatomy in the target computed tomography data set. The shape measurements include the volume and length of the cochlea, vestibule, semi-circular canals, and internal auditory canal; and the angles between the semi-circular canals.
A simulated population of inner ear shapes were generated based on the shape of a real population of inner ear shapes and were used to characterize the measurement error of this method. The deformable atlas was used to measure the shape of the left and right inner ear of six individuals.
Measurement error for 15 of the 24 measurements of our simulated population had an average error of less than 1% and only one measurement had an average error greater than 2.54%. The deformable human inner ear atlas shows promise as a new method for automatically measuring the shape of the labyrinth.
Details
- Title: Subtitle
- Automatic measurement of the labyrinth using image registration and a deformable inner ear atlas
- Creators
- Gary E Christensen - Department of Electrical and Computer Engineering, The University of Iowa, 4016 SC, Iowa City, IA, 52242, USAJianchun He - Department of Electrical and Computer Engineering, The University of Iowa, 4016 SC, Iowa City, IA, 52242, USAJohn A Dill - Department of Radiation Oncology, Iowa City, IA, USAJay T Rubinstein - Department of Otolaryngology-Head and Neck Surgery, Iowa City, IA, USAMichael W Vannier - Department of Radiology, The University of Iowa, Iowa City, IA, USAGe Wang - Department of Biomedical Engineering, Iowa City, IA, USA
- Resource Type
- Journal article
- Publication Details
- Academic radiology, Vol.10(9), pp.988-999
- Publisher
- Elsevier Inc
- DOI
- 10.1016/S1076-6332(03)00121-1
- PMID
- 13678087
- ISSN
- 1076-6332
- eISSN
- 1878-4046
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: DC03590, NS35368
- Language
- English
- Date published
- 2003
- Academic Unit
- Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory
- Record Identifier
- 9984047719702771
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