Literature DB >> 33194311

DRRGenerator: A Three-dimensional Slicer Extension for the Rapid and Easy Development of Digitally Reconstructed Radiographs.

Lance Levine1, Marc Levine2.   

Abstract

As the interest in image-guided medical interventions has increased, so too has the necessity for open-source software tools to provide the required capabilities without exorbitant costs. A common issue encountered in these procedures is the need to compare computed tomography (CT) data with X-ray data, for example, to compare pre-operative CT imaging with intraoperative X-rays. A software approach to solve this dilemma is the production of digitally reconstructed radiographs (DRRs) which computationally simulate an X-ray-type image from CT data. The resultant image can be easily compared to an X-ray image and can provide valuable clinical information, such as small anatomical changes that have occurred between the pre-operative and operative imaging (i.e., vertebral positioning). To provide an easy way for clinicians to make their own DRRs, we propose DRR generator, a customizable extension for the open-source medical imaging application three-dimensional (3D) Slicer. DRR generator provides rapid computation of DRRs through a highly customizable user interface. This extension provides end-users a free, open-source, and reliable way of generating DRRs. This program is integrated within 3D Slicer and thus can utilize its powerful imaging tools to provide a comprehensive segmentation and registration application for clinicians and researchers. DRR generator is available for download through 3D Slicer's in-app extension manager and requires no additional software.
© 2020 Published by Scientific Scholar on behalf of Journal of Clinical Imaging Science.

Entities:  

Keywords:  Computed tomography; Digitally reconstructed radiographs; Slicer; X-ray

Year:  2020        PMID: 33194311      PMCID: PMC7656050          DOI: 10.25259/JCIS_105_2020

Source DB:  PubMed          Journal:  J Clin Imaging Sci        ISSN: 2156-5597


  5 in total

1.  CT imaging based digitally reconstructed radiographs and their application in brachytherapy.

Authors:  N Milickovic; D Baltast; S Giannouli; M Lahanas; N Zamboglou
Journal:  Phys Med Biol       Date:  2000-10       Impact factor: 3.609

2.  Fast, automatic, and accurate catheter reconstruction in HDR brachytherapy using an electromagnetic 3D tracking system.

Authors:  Eric Poulin; Emmanuel Racine; Dirk Binnekamp; Luc Beaulieu
Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

3.  GPU accelerated generation of digitally reconstructed radiographs for 2-D/3-D image registration.

Authors:  Osama M Dorgham; Stephen D Laycock; Mark H Fisher
Journal:  IEEE Trans Biomed Eng       Date:  2012-07-11       Impact factor: 4.538

4.  An image correlation procedure for digitally reconstructed radiographs and electronic portal images.

Authors:  L Dong; A L Boyer
Journal:  Int J Radiat Oncol Biol Phys       Date:  1995-12-01       Impact factor: 7.038

5.  An easy and novel method for safer brachytherapy: real-time fluoroscopic verification of high-dose-rate 192Ir source position using a flat-panel detector.

Authors:  Takayuki Nose; Koji Masui; Tadashi Takenaka; Hideya Yamazaki; Katsuya Nakata; Yuki Otani; Shinichiro Kumita
Journal:  J Radiat Res       Date:  2019-05-01       Impact factor: 2.724

  5 in total
  1 in total

1.  Offline generator for digitally reconstructed radiographs of a commercial stereoscopic radiotherapy image-guidance system.

Authors:  John A Charters; Pascal Bertram; James M Lamb
Journal:  J Appl Clin Med Phys       Date:  2022-02-03       Impact factor: 2.102

  1 in total

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