Literature DB >> 28323641

Metal artifacts in computed tomography for radiation therapy planning: dosimetric effects and impact of metal artifact reduction.

Drosoula Giantsoudi1, Bruno De Man, Joost Verburg, Alexei Trofimov, Yannan Jin, Ge Wang, Lars Gjesteby, Harald Paganetti.   

Abstract

A significant and increasing number of patients receiving radiation therapy present with metal objects close to, or even within, the treatment area, resulting in artifacts in computed tomography (CT) imaging, which is the most commonly used imaging method for treatment planning in radiation therapy. In the presence of metal implants, such as dental fillings in treatment of head-and-neck tumors, spinal stabilization implants in spinal or paraspinal treatment or hip replacements in prostate cancer treatments, the extreme photon absorption by the metal object leads to prominent image artifacts. Although current CT scanners include a series of correction steps for beam hardening, scattered radiation and noisy measurements, when metal implants exist within or close to the treatment area, these corrections do not suffice. CT metal artifacts affect negatively the treatment planning of radiation therapy either by causing difficulties to delineate the target volume or by reducing the dose calculation accuracy. Various metal artifact reduction (MAR) methods have been explored in terms of improvement of organ delineation and dose calculation in radiation therapy treatment planning, depending on the type of radiation treatment and location of the metal implant and treatment site. Including a brief description of the available CT MAR methods that have been applied in radiation therapy, this article attempts to provide a comprehensive review on the dosimetric effect of the presence of CT metal artifacts in treatment planning, as reported in the literature, and the potential improvement suggested by different MAR approaches. The impact of artifacts on the treatment planning and delivery accuracy is discussed in the context of different modalities, such as photon external beam, brachytherapy and particle therapy, as well as by type and location of metal implants.

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Year:  2017        PMID: 28323641     DOI: 10.1088/1361-6560/aa5293

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  32 in total

1.  Model Image-Based Metal Artifact Reduction for Computed Tomography.

Authors:  Dmytro Luzhbin; Jay Wu
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

2.  Imaging artifacts of Onyx and PHIL on conventional CT, cone-beam CT and MRI in an animal model.

Authors:  Dominik F Vollherbst; Ruth Otto; Thuy Do; Hans U Kauczor; Martin Bendszus; Christof M Sommer; Markus A Möhlenbruch
Journal:  Interv Neuroradiol       Date:  2018-07-04       Impact factor: 1.610

Review 3.  Status and innovations in pre-treatment CT imaging for proton therapy.

Authors:  Patrick Wohlfahrt; Christian Richter
Journal:  Br J Radiol       Date:  2019-11-11       Impact factor: 3.039

4.  DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography.

Authors:  Bo Zhou; Xiongchao Chen; S Kevin Zhou; James S Duncan; Chi Liu
Journal:  Med Image Anal       Date:  2021-10-29       Impact factor: 8.545

5.  The effects of the orthopedic metal artifact reduction (O-MAR) algorithm on contouring and dosimetry of head and neck radiotherapy patients.

Authors:  Jussi Sillanpaa; Michael Lovelock; Boris Mueller
Journal:  Med Dosim       Date:  2019-07-30       Impact factor: 1.482

6.  Comparison of CT artifacts and image recognition of various fiducial markers including two types of thinner fiducial markers for CyberKnife treatment.

Authors:  Toshihiro Suzuki; Masahide Saito; Hiroshi Onishi; Koji Mochizuki; Kenichiro Satani; Akihiro Yamazaki; Kenichi Miura; Shinji Taka; Naoki Sano; Takafumi Komiyama; Hiroshi Takahashi
Journal:  Rep Pract Oncol Radiother       Date:  2019-12-09

Review 7.  [Gross tumor volume (GTV) : Basics, methods, registration, limitations].

Authors:  C Thieke
Journal:  Radiologe       Date:  2018-08       Impact factor: 0.635

8.  Imaging Artifacts of Liquid Embolic Agents on Conventional CT in an Experimental in Vitro Model.

Authors:  N Schmitt; R O Floca; D Paech; R A El Shafie; F Seker; M Bendszus; M A Möhlenbruch; D F Vollherbst
Journal:  AJNR Am J Neuroradiol       Date:  2020-11-19       Impact factor: 3.825

9.  Geometric and dosimetric impact of 3D generative adversarial network-based metal artifact reduction algorithm on VMAT and IMPT for the head and neck region.

Authors:  Mitsuhiro Nakamura; Megumi Nakao; Keiho Imanishi; Hideaki Hirashima; Yusuke Tsuruta
Journal:  Radiat Oncol       Date:  2021-06-06       Impact factor: 3.481

10.  Dosimetric impact of using a commercial metal artifact reduction tool in carbon ion therapy in patients with hip prostheses.

Authors:  Jingfang Zhao; Weiwei Wang; Kambiz Shahnaz; Xianwei Wu; Jingfang Mao; Ping Li; Qing Zhang
Journal:  J Appl Clin Med Phys       Date:  2021-06-23       Impact factor: 2.102

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