Thomas Kerwin
Ohio State University
30 Papers
106 Citations
Thomas Kerwin is an academic researcher from Ohio State University. The author has contributed to research in topics: Aggressive driving & Driving simulator. The author has an hindex of 11, co-authored 30 publications. Previous affiliations of Thomas Kerwin include Ohio Supercomputer Center.
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Papers
Atlas-Based Segmentation of Temporal Bone Anatomy
Kimerly A. Powell,Tong Liang,Bradley Hittle,Don Stredney,Don Stredney,Thomas Kerwin,Gregory J. Wiet +6 more
TL;DR: The atlas-based approach with rigid body registration of the otic capsule was successful in segmenting critical structures of temporal bone anatomy for use in surgical simulation software.
Automatic scoring of virtual mastoidectomies using expert examples.
Thomas Kerwin,Thomas Kerwin,Gregory J. Wiet,Gregory J. Wiet,Don Stredney,Han-Wei Shen +5 more
- 01 Jan 2012
TL;DR: Comparison of virtually drilled bones with expert examples on a voxel level provides sufficient information to score them and provide several specific quality metrics, and the reliability metrics for the multi-grade scoring system are better in some cases than previously reported binary classification metrics.
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Enhancing Realism of Wet Surfaces in Temporal Bone Surgical Simulation
TL;DR: A mastoidectomy simulator that offers a training environment for medical residents as a complement to using a cadaver, and incorporates a planar computational fluid dynamics simulation into the three-dimensional rendering to effect realistic blood diffusion.
The role of multisensory feedback in haptic surface perception
Gayla L. Poling,Janet M. Weisenberger,Thomas Kerwin +2 more
- 22 Mar 2003
TL;DR: The role of multisensory feedback in the perception of surface roughness was investigated, specifically focusing on whether the threshold for distinguishing the roughness of two virtual surfaces was different under visual + haptic conditions, as compared to visual-only or haptic-only conditions.
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Atlas-based segmentation of temporal bone surface structures.
Kimerly A. Powell,Tanisha Kashikar,Bradley Hittle,Don Stredney,Thomas Kerwin,Gregory J. Wiet +5 more
TL;DR: An atlas-based approach using a deformable registration of a Gaussian-smoothed temporal bone image and refinements using surface landmarks was successful in segmenting surface structures of temporal bone anatomy for use in pre-surgical planning and training.
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