Real-Time Resampling of Medical Images Based on Deformed Tetrahedral Structures for Needle Insertion VR-Simulation

Martin  Meike; Dirk Fortmeier; André Mastmeyer; Heinz Handels

doi:10.1007/978-3-662-46224-9_76

Real-Time Resampling of Medical Images Based on Deformed Tetrahedral Structures for Needle Insertion VR-Simulation

Martin Meike, Dirk Fortmeier, André Mastmeyer, Heinz Handels

Institute of Medical Informatics

Graduate School for Computing in Medicine and Live Science

1 Citation (Scopus)

Abstract

To provide real-time visualization of deformed volumetric image data for virtual surgery simulation, a resampling algorithm based on deformed tetrahedral structures has been developed. Deformations of the tetrahedral mesh are computed by a soft-tissue simulation. The major advantage of this approach is the possibility to use the resampled image data in different rendering methods such as ray casting, simulated ultrasound or simulated X-ray imaging. To achieve real-time capability, the algorithm was parallelized on the GPU using Nvidia Cuda. Performance measurements have been done on different mesh resolutions. For a subset of 1688 tetrahedrons, short resamplings times of around 2.3 ms are measured on an Nvidia GTX 680, endorsing the algorithm for real-time application.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2015
Number of pages	6
Publisher	Springer Vieweg, Berlin Heidelberg
Publication date	25.02.2015
Pages	443-448
ISBN (Print)	978-3-662-46223-2
ISBN (Electronic)	978-3-662-46224-9
DOIs	https://doi.org/10.1007/978-3-662-46224-9_76
Publication status	Published - 25.02.2015
Event	Workshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Germany Duration: 15.03.2015 → 17.03.2015

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

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10.1007/978-3-662-46224-9_76

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@inproceedings{00877c59186c4c3592794e77a6b6dfb3,

title = "Real-Time Resampling of Medical Images Based on Deformed Tetrahedral Structures for Needle Insertion VR-Simulation",

abstract = "To provide real-time visualization of deformed volumetric image data for virtual surgery simulation, a resampling algorithm based on deformed tetrahedral structures has been developed. Deformations of the tetrahedral mesh are computed by a soft-tissue simulation. The major advantage of this approach is the possibility to use the resampled image data in different rendering methods such as ray casting, simulated ultrasound or simulated X-ray imaging. To achieve real-time capability, the algorithm was parallelized on the GPU using Nvidia Cuda. Performance measurements have been done on different mesh resolutions. For a subset of 1688 tetrahedrons, short resamplings times of around 2.3 ms are measured on an Nvidia GTX 680, endorsing the algorithm for real-time application.",

author = "Martin Meike and Dirk Fortmeier and Andr{\'e} Mastmeyer and Heinz Handels",

year = "2015",

month = feb,

day = "25",

doi = "10.1007/978-3-662-46224-9\_76",

language = "English",

isbn = "978-3-662-46223-2",

series = "Informatik aktuell",

publisher = "Springer Vieweg, Berlin Heidelberg",

pages = "443--448",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2015",

note = "Workshop on Bildverarbeitung fur die Medizin 2015 ; Conference date: 15-03-2015 Through 17-03-2015",

}

Meike, M, Fortmeier, D, Mastmeyer, A & Handels, H 2015, Real-Time Resampling of Medical Images Based on Deformed Tetrahedral Structures for Needle Insertion VR-Simulation. in Bildverarbeitung für die Medizin 2015. Informatik aktuell, Springer Vieweg, Berlin Heidelberg, pp. 443-448, Workshop on Bildverarbeitung fur die Medizin 2015, Lübeck, Germany, 15.03.15. https://doi.org/10.1007/978-3-662-46224-9_76

Real-Time Resampling of Medical Images Based on Deformed Tetrahedral Structures for Needle Insertion VR-Simulation. / Meike, Martin ; Fortmeier, Dirk; Mastmeyer, André et al.
Bildverarbeitung für die Medizin 2015. Springer Vieweg, Berlin Heidelberg, 2015. p. 443-448 (Informatik aktuell).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Real-Time Resampling of Medical Images Based on Deformed Tetrahedral Structures for Needle Insertion VR-Simulation

AU - Meike, Martin

AU - Fortmeier, Dirk

AU - Mastmeyer, André

AU - Handels, Heinz

PY - 2015/2/25

Y1 - 2015/2/25

N2 - To provide real-time visualization of deformed volumetric image data for virtual surgery simulation, a resampling algorithm based on deformed tetrahedral structures has been developed. Deformations of the tetrahedral mesh are computed by a soft-tissue simulation. The major advantage of this approach is the possibility to use the resampled image data in different rendering methods such as ray casting, simulated ultrasound or simulated X-ray imaging. To achieve real-time capability, the algorithm was parallelized on the GPU using Nvidia Cuda. Performance measurements have been done on different mesh resolutions. For a subset of 1688 tetrahedrons, short resamplings times of around 2.3 ms are measured on an Nvidia GTX 680, endorsing the algorithm for real-time application.

AB - To provide real-time visualization of deformed volumetric image data for virtual surgery simulation, a resampling algorithm based on deformed tetrahedral structures has been developed. Deformations of the tetrahedral mesh are computed by a soft-tissue simulation. The major advantage of this approach is the possibility to use the resampled image data in different rendering methods such as ray casting, simulated ultrasound or simulated X-ray imaging. To achieve real-time capability, the algorithm was parallelized on the GPU using Nvidia Cuda. Performance measurements have been done on different mesh resolutions. For a subset of 1688 tetrahedrons, short resamplings times of around 2.3 ms are measured on an Nvidia GTX 680, endorsing the algorithm for real-time application.

UR - http://www.imi.uni-luebeck.de/en/content/real-time-resampling-medical-images-based-deformed-tetrahedral-structures-needle-insertion-v

U2 - 10.1007/978-3-662-46224-9_76

DO - 10.1007/978-3-662-46224-9_76

M3 - Conference contribution

SN - 978-3-662-46223-2

T3 - Informatik aktuell

SP - 443

EP - 448

BT - Bildverarbeitung für die Medizin 2015

PB - Springer Vieweg, Berlin Heidelberg

T2 - Workshop on Bildverarbeitung fur die Medizin 2015

Y2 - 15 March 2015 through 17 March 2015

ER -

Real-Time Resampling of Medical Images Based on Deformed Tetrahedral Structures for Needle Insertion VR-Simulation

Abstract

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