Format

Send to

Choose Destination
Hear Res. 2010 May;263(1-2):198-203. doi: 10.1016/j.heares.2010.01.007. Epub 2010 Jan 25.

Reconstruction and exploration of virtual middle-ear models derived from micro-CT datasets.

Author information

1
Department of Otolaryngology-HNS, Stanford University, Stanford, CA 94305, USA. dhoonlee.biz+elsevier@gmail.com

Abstract

BACKGROUND:

Middle-ear anatomy is integrally linked to both its normal function and its response to disease processes. Micro-CT imaging provides an opportunity to capture high-resolution anatomical data in a relatively quick and non-destructive manner. However, to optimally extract functionally relevant details, an intuitive means of reconstructing and interacting with these data is needed.

MATERIALS AND METHODS:

A micro-CT scanner was used to obtain high-resolution scans of freshly explanted human temporal bones. An advanced volume renderer was adapted to enable real-time reconstruction, display, and manipulation of these volumetric datasets. A custom-designed user interface provided for semi-automated threshold segmentation. A 6-degrees-of-freedom navigation device was designed and fabricated to enable exploration of the 3D space in a manner intuitive to those comfortable with the use of a surgical microscope. Standard haptic devices were also incorporated to assist in navigation and exploration.

RESULTS:

Our visualization workstation could be adapted to allow for the effective exploration of middle-ear micro-CT datasets. Functionally significant anatomical details could be recognized and objective data could be extracted.

CONCLUSIONS:

We have developed an intuitive, rapid, and effective means of exploring otological micro-CT datasets. This system may provide a foundation for additional work based on middle-ear anatomical data.

PMID:
20100558
PMCID:
PMC4286188
DOI:
10.1016/j.heares.2010.01.007
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Elsevier Science Icon for PubMed Central
Loading ...
Support Center