Literature DB >> 18072495

Fast DRR splat rendering using common consumer graphics hardware.

Jakob Spoerk1, Helmar Bergmann, Felix Wanschitz, Shuo Dong, Wolfgang Birkfellner.   

Abstract

Digitally rendered radiographs (DRR) are a vital part of various medical image processing applications such as 2D/3D registration for patient pose determination in image-guided radiotherapy procedures. This paper presents a technique to accelerate DRR creation by using conventional graphics hardware for the rendering process. DRR computation itself is done by an efficient volume rendering method named wobbled splatting. For programming the graphics hardware, NVIDIAs C for Graphics (Cg) is used. The description of an algorithm used for rendering DRRs on the graphics hardware is presented, together with a benchmark comparing this technique to a CPU-based wobbled splatting program. Results show a reduction of rendering time by about 70%-90% depending on the amount of data. For instance, rendering a volume of 2 x 10(6) voxels is feasible at an update rate of 38 Hz compared to 6 Hz on a common Intel-based PC using the graphics processing unit (GPU) of a conventional graphics adapter. In addition, wobbled splatting using graphics hardware for DRR computation provides higher resolution DRRs with comparable image quality due to special processing characteristics of the GPU. We conclude that DRR generation on common graphics hardware using the freely available Cg environment is a major step toward 2D/3D registration in clinical routine.

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Year:  2007        PMID: 18072495     DOI: 10.1118/1.2789500

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  16 in total

1.  Development of a GPU-based multithreaded software application to calculate digitally reconstructed radiographs for radiotherapy.

Authors:  Shinichiro Mori; Masanao Kobayashi; Motoki Kumagai; Shinichi Minohara
Journal:  Radiol Phys Technol       Date:  2008-11-07

Review 2.  Volume visualization: a technical overview with a focus on medical applications.

Authors:  Qi Zhang; Roy Eagleson; Terry M Peters
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

3.  A quantitative method to assess focal acetabular overcoverage resulting from pincer deformity using CT data.

Authors:  Ryan J Murphy; Ty K Subhawong; Avneesh Chhabra; John A Carrino; Mehran Armand; Marc Hungerford
Journal:  Clin Orthop Relat Res       Date:  2011-07-12       Impact factor: 4.176

4.  A digitally reconstructed radiograph algorithm calculated from first principles.

Authors:  David Staub; Martin J Murphy
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

5.  3D forward and back-projection for X-ray CT using separable footprints.

Authors:  Yong Long; Jeffrey A Fessler; James M Balter
Journal:  IEEE Trans Med Imaging       Date:  2010-06-07       Impact factor: 10.048

6.  Intraoperative image-based multiview 2D/3D registration for image-guided orthopaedic surgery: incorporation of fiducial-based C-arm tracking and GPU-acceleration.

Authors:  Yoshito Otake; Mehran Armand; Robert S Armiger; Michael D Kutzer; Ehsan Basafa; Peter Kazanzides; Russell H Taylor
Journal:  IEEE Trans Med Imaging       Date:  2011-11-18       Impact factor: 10.048

7.  Fast simulation of x-ray projections of spline-based surfaces using an append buffer.

Authors:  Andreas Maier; Hannes G Hofmann; Chris Schwemmer; Joachim Hornegger; Andreas Keil; Rebecca Fahrig
Journal:  Phys Med Biol       Date:  2012-09-14       Impact factor: 3.609

Review 8.  GPU-based high-performance computing for radiation therapy.

Authors:  Xun Jia; Peter Ziegenhein; Steve B Jiang
Journal:  Phys Med Biol       Date:  2014-02-03       Impact factor: 3.609

9.  Efficient implementation of the rank correlation merit function for 2D/3D registration.

Authors:  M Figl; C Bloch; C Gendrin; C Weber; S A Pawiro; J Hummel; P Markelj; F Pernus; H Bergmann; W Birkfellner
Journal:  Phys Med Biol       Date:  2010-09-16       Impact factor: 3.609

10.  Automatic localization of vertebral levels in x-ray fluoroscopy using 3D-2D registration: a tool to reduce wrong-site surgery.

Authors:  Y Otake; S Schafer; J W Stayman; W Zbijewski; G Kleinszig; R Graumann; A J Khanna; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2012-08-03       Impact factor: 3.609

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