Literature DB >> 19994522

Implementation and characterization of a 320-slice volumetric CT scanner for simulation in radiation oncology.

C Coolens1, S Breen, T G Purdie, A Owrangi, J Publicover, S Bartolac, D A Jaffray.   

Abstract

PURPOSE: Effective target definition and broad employment of treatment response assessment with dynamic contrast-enhanced CT in radiation oncology requires increased speed and coverage for use within a single bolus injection. To this end, a novel volumetric CT scanner (Aquilion One, Toshiba, Tochigi Pref., Japan) has been installed at the Princess Margaret Hospital for implementation into routine CT simulation. This technology offers great advantages for anatomical and functional imaging in both scan speed and coverage. The aim of this work is to investigate the system's imaging performance and quality as well as CT quantification accuracy which is important for radiotherapy dose calculations.
METHODS: The 320-slice CT scanner uses a 160 mm wide-area (2D) solid-state detector design which provides the possibility to acquire a volumetric axial length of 160 mm without moving the CT couch. This is referred to as "volume" and can be scanned with a rotation speed of 0.35-3 s. The scanner can also be used as a 64-slice CT scanner and perform conventional (axial) and helical acquisitions with collimation ranges of 1-32 and 16-32 mm, respectively. Commissioning was performed according to AAPM Reports TG 66 and 39 for both helical and volumetric imaging. Defrise and other cone-beam image analysis tests were performed.
RESULTS: Overall, the imaging spatial resolution and geometric efficiency (GE) were found to be very good (>10 lp/mm, <1 mm spatial integrity and GE160 mm=85%) and within the AAPM guidelines as well as IEC recommendations. Although there is evidence of some cone-beam artifacts when scanning the Defrise phantom, image quality was found to be good and sufficient for treatment planning (soft tissue noise <10 HU). Measurements of CT number stability and contrast-to-noise values across the volume indicate clinically acceptable scan accuracy even at the field edge.
CONCLUSIONS: Initial experience with this exciting new technology confirms its accuracy for routine CT simulation within radiation oncology and allows for future investigations into specialized dynamic volumetric imaging applications.

Mesh:

Substances:

Year:  2009        PMID: 19994522     DOI: 10.1118/1.3246352

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


  14 in total

1.  [Principles of multidetector-row computed tomography. Part 2: determinants of radiation exposure and current technical developments].

Authors:  W Stiller
Journal:  Radiologe       Date:  2011-12       Impact factor: 0.635

2.  Scatter correction for full-fan volumetric CT using a stationary beam blocker in a single full scan.

Authors:  Tianye Niu; Lei Zhu
Journal:  Med Phys       Date:  2011-11       Impact factor: 4.071

3.  4D CT lung ventilation images are affected by the 4D CT sorting method.

Authors:  Tokihiro Yamamoto; Sven Kabus; Cristian Lorenz; Eric Johnston; Peter G Maxim; Maximilian Diehn; Neville Eclov; Cristian Barquero; Billy W Loo; Paul J Keall
Journal:  Med Phys       Date:  2013-10       Impact factor: 4.071

4.  Can CT scan protocols used for radiotherapy treatment planning be adjusted to optimize image quality and patient dose? A systematic review.

Authors:  Anne T Davis; Antony L Palmer; Andrew Nisbet
Journal:  Br J Radiol       Date:  2017-05-23       Impact factor: 3.039

5.  Unified platform for multimodal voxel-based analysis to evaluate tumour perfusion and diffusion characteristics before and after radiation treatment evaluated in metastatic brain cancer.

Authors:  Catherine Coolens; Brandon Driscoll; Warren Foltz; Igor Svistoun; Noha Sinno; Caroline Chung
Journal:  Br J Radiol       Date:  2019-02-26       Impact factor: 3.039

6.  Positional dependence of the CT number with use of a cone-beam CT scanner for an electron density phantom in particle beam therapy.

Authors:  Yohsuke Kusano; Saki Uesaka; Kaori Yajima; Motoki Kumagai; Hideyuki Mizuno; Shinichiro Mori
Journal:  Radiol Phys Technol       Date:  2012-12-16

7.  Assessing regional cerebral blood flow in depression using 320-slice computed tomography.

Authors:  Yiming Wang; Hongming Zhang; Songlin Tang; Xingde Liu; Adrienne O'Neil; Alyna Turner; Fangxian Chai; Fanying Chen; Michael Berk
Journal:  PLoS One       Date:  2014-09-24       Impact factor: 3.240

Review 8.  Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images.

Authors:  Armin Eilaghi; Timothy Yeung; Christopher d'Esterre; Glenn Bauman; Slav Yartsev; Jay Easaw; Enrico Fainardi; Ting-Yim Lee; Richard Frayne
Journal:  Biomark Cancer       Date:  2016-07-03

Review 9.  In vivo X-ray computed tomographic imaging of soft tissue with native, intravenous, or oral contrast.

Authors:  Connor A Wathen; Nathan Foje; Tony van Avermaete; Bernadette Miramontes; Sarah E Chapaman; Todd A Sasser; Raghuraman Kannan; Steven Gerstler; W Matthew Leevy
Journal:  Sensors (Basel)       Date:  2013-05-27       Impact factor: 3.576

10.  Four-dimensional measurement of the displacement of metal clips or postoperative surgical staples during 320-multislice computed tomography scanning of gastric cancer.

Authors:  Hideomi Yamashita; Kae Okuma; Wataru Takahashi; Akira Sakumi; Akihiro Haga; Kenji Ino; Masaaki Akahane; Kuni Ohtomo; Keiichi Nakagawa
Journal:  Radiat Oncol       Date:  2012-08-10       Impact factor: 3.481

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.