Accelerating virtual surgery simulation for congenital aural atresia

Bin Li; Zigang Wang; Eric Smouha; Dongqing Chen; Zhengrong Liang

doi:10.1117/12.535689

Accelerating virtual surgery simulation for congenital aural atresia

Bin Li
, Zigang Wang
, Eric Smouha
, Dongqing Chen
, Zhengrong Liang

Stony Brook University

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

In this paper, we proposed a new efficient implementation for simulation of surgery planning for congenital aural atresia. We first applied a 2-level image segmentation schema to classify the inner ear structures. Based on it, several 3D texture volumes were generated and sent to graphical pipeline on a PC platform. By exploiting the texturing-mapping capability on the PC graphics/video board, a 3D image was created with high quality showing the accurate spatial relationships of the complex surgical anatomy of congenitally atretic ears. Furthermore, we exploited the graphics hardware-supported per-fragment function to perform the geometric clipping on 3D volume data to interactively simulate the procedure of surgical operation. The result was very encouraging.

Original language	English
Pages (from-to)	654-660
Number of pages	7
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5367
DOIs	https://doi.org/10.1117/12.535689
State	Published - 2004
Event	Progress in Biomedical Optics and Imaging 2004 - Medical Imaging: Visualization, Image-Guided Procedures, and Display - San Diego, CA, United States Duration: Feb 15 2004 → Feb 17 2004

Keywords

3D reconstruction
Congenital aural atresia
Graphics board
Segmentation
Texture-based rendering
Virtual surgery planning

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10.1117/12.535689

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title = "Accelerating virtual surgery simulation for congenital aural atresia",

abstract = "In this paper, we proposed a new efficient implementation for simulation of surgery planning for congenital aural atresia. We first applied a 2-level image segmentation schema to classify the inner ear structures. Based on it, several 3D texture volumes were generated and sent to graphical pipeline on a PC platform. By exploiting the texturing-mapping capability on the PC graphics/video board, a 3D image was created with high quality showing the accurate spatial relationships of the complex surgical anatomy of congenitally atretic ears. Furthermore, we exploited the graphics hardware-supported per-fragment function to perform the geometric clipping on 3D volume data to interactively simulate the procedure of surgical operation. The result was very encouraging.",

keywords = "3D reconstruction, Congenital aural atresia, Graphics board, Segmentation, Texture-based rendering, Virtual surgery planning",

author = "Bin Li and Zigang Wang and Eric Smouha and Dongqing Chen and Zhengrong Liang",

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doi = "10.1117/12.535689",

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journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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T1 - Accelerating virtual surgery simulation for congenital aural atresia

AU - Li, Bin

AU - Wang, Zigang

AU - Smouha, Eric

AU - Chen, Dongqing

AU - Liang, Zhengrong

PY - 2004

Y1 - 2004

N2 - In this paper, we proposed a new efficient implementation for simulation of surgery planning for congenital aural atresia. We first applied a 2-level image segmentation schema to classify the inner ear structures. Based on it, several 3D texture volumes were generated and sent to graphical pipeline on a PC platform. By exploiting the texturing-mapping capability on the PC graphics/video board, a 3D image was created with high quality showing the accurate spatial relationships of the complex surgical anatomy of congenitally atretic ears. Furthermore, we exploited the graphics hardware-supported per-fragment function to perform the geometric clipping on 3D volume data to interactively simulate the procedure of surgical operation. The result was very encouraging.

AB - In this paper, we proposed a new efficient implementation for simulation of surgery planning for congenital aural atresia. We first applied a 2-level image segmentation schema to classify the inner ear structures. Based on it, several 3D texture volumes were generated and sent to graphical pipeline on a PC platform. By exploiting the texturing-mapping capability on the PC graphics/video board, a 3D image was created with high quality showing the accurate spatial relationships of the complex surgical anatomy of congenitally atretic ears. Furthermore, we exploited the graphics hardware-supported per-fragment function to perform the geometric clipping on 3D volume data to interactively simulate the procedure of surgical operation. The result was very encouraging.

KW - 3D reconstruction

KW - Congenital aural atresia

KW - Graphics board

KW - Segmentation

KW - Texture-based rendering

KW - Virtual surgery planning

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DO - 10.1117/12.535689

M3 - Conference article

AN - SCOPUS:5644271626

SN - 0277-786X

VL - 5367

SP - 654

EP - 660

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Progress in Biomedical Optics and Imaging 2004 - Medical Imaging: Visualization, Image-Guided Procedures, and Display

Y2 - 15 February 2004 through 17 February 2004

ER -

Accelerating virtual surgery simulation for congenital aural atresia

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Keywords

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