The impact of smart metal artefact reduction algorithm for use in radiotherapy treatment planning

Guilfoile, Connor; Rampant, Peter; House, Michael J.

doi:10.1007/s13246-017-0543-5

Cited by 14 publications

(12 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The improvement of %GP on CT cor shows that Smart MAR increased the dose calculation accuracy. A similar finding was reported by Guilfoile et al using a custom‐made hip phantom with bilateral hip prostheses 44 …”

Section: Resultssupporting

confidence: 89%

“…Guilfoile et al investigated the ability of Smart MAR to restore the HU values. To this end, a breast expander consisting of a samarium cobalt magnet was placed on an adult male phantom (CIRS, Model ATOM 701‐B, Norfolk, VA, USA) 44 . The authors compared the mean HU value on CT ref (not given) with both CT art and CT cor after Smart MAR application.…”

Section: Resultsmentioning

confidence: 99%

“…To this end, a breast expander consisting of a samarium cobalt magnet was placed on an adult male phantom (CIRS, Model ATOM 701-B, Norfolk, VA, USA). 44 The authors compared the mean HU value on CT ref (not given) with both CT art and CT cor after Smart MAR application. The results showed a reduction in the HU value difference from 29 HU to 3 HU in ipsilateral lung, and from 21 HU to 8 HU in bone close to the metal implant, respectively.…”

Section: Kwon Et Al Studied the Impact Of O-mar On Both Clinical Handnmentioning

confidence: 99%

See 2 more Smart Citations

The application of metal artifact reduction methods on computed tomography scans for radiotherapy applications: A literature review

Puvanasunthararajah

Fontanarosa

Wille

et al. 2021

J Applied Clin Med Phys

View full text Add to dashboard Cite

Metal artifact reduction (MAR) methods are used to reduce artifacts from metals or metal components in computed tomography (CT). In radiotherapy (RT), CT is the most used imaging modality for planning, whose quality is often affected by metal artifacts. The aim of this study is to systematically review the impact of MAR methods on CT Hounsfield Unit values, contouring of regions of interest, and dose calculation for RT applications. This systematic review is performed in accordance with the PRISMA guidelines; the PubMed and Web of Science databases were searched using the main keywords "metal artifact reduction", "computed tomography" and "radiotherapy". A total of 382 publications were identified, of which 40 (including one review article) met the inclusion criteria and were included in this review. The selected publications (except for the review article) were grouped into two main categories: commercial MAR methods and research-based MAR methods. Conclusion: The application of MAR methods on CT scans can improve treatment planning quality in RT. However, none of the investigated or proposed MAR methods was completely satisfactory for RT applications because of limitations such as the introduction of other errors (e.g., other artifacts) or image quality degradation (e.g., blurring), and further research is still necessary to overcome these challenges.

show abstract

Section: Resultssupporting

confidence: 89%

Section: Resultsmentioning

confidence: 99%

Section: Kwon Et Al Studied the Impact Of O-mar On Both Clinical Handnmentioning

confidence: 99%

See 1 more Smart Citation

The application of metal artifact reduction methods on computed tomography scans for radiotherapy applications: A literature review

Puvanasunthararajah

Fontanarosa

Wille

et al. 2021

J Applied Clin Med Phys

View full text Add to dashboard Cite

show abstract

“…Artifacts in the form of streaks caused by metal implants give rise to photon starvation in CT and dosimetic problems in radiotherapy planning. In CT images, the loss of anatomical information and the use of wrong HU causes errors in RT dose calculations, and this also leads to inadequate patient treatment [24].…”

Section: Discussionmentioning

confidence: 99%

The Dosimetric Evaluation of An In-House Software Developed For Metal Artefact Reduction On Two Different Radiotherapy Treatment Planning Systems

Inal

2021

Preprint

View full text Add to dashboard Cite

Metal Artefact Reduction (MAR) is very important in terms of dose calculation in radiotherapy. It was aimed to develop an in-house MAR software as an alternative to commercial software programs and to examine its effectiveness by comparing it with the SMART-MAR software which was available commercially. A phantom containing metal with high atomic number was designed and computed tomography (CT) images of this phantom were taken (Without-MAR images). The obtained CT images were processed with the SMART-MAR software and the developed In-House MAR software. Processed images were compared in terms of Hounsfield unit (HU), absolute dose values in the Accuray and CMS XiO treatment planning systems, and gamma evaluation. The best HU improvement was observed in the developed In-House MAR. The maximum mean percentage differences in absorbed doses at the determined points in Accuray was found 33.3% and 32.5% between Without MAR - SMART MAR and Without MAR- In-House MAR, respectively. The In-House MAR software developed by using MATLAB was shown similar results with the SMART MAR software. Although in-house MAR software needs to be investigated clinically, it is more advantageous than commercially available software in terms of being cost-free, applicability in a shorter time and without reconstruction.

show abstract

“…The metal implant may cause well‐known metal artifacts on CT images because of extreme photon absorption due to its high Z eff value and may lead to errors in radiotherapy dose calculations. There are some studies in the literature on commercial metal artifact reduction (MAR) algorithms about their impact on image quality and dosimetry of radiotherapy plans …”

Section: Introductionmentioning

confidence: 99%

Effects of metal implants and a metal artifact reduction tool on calculation accuracy of AAA and Acuros XB algorithms in small fields

Akdeniz

Yeğingil

2019

Medical Physics

View full text Add to dashboard Cite

Purpose: In this study, the dosimetric accuracy of analytical anisotropic algorithm (AAA) and Acuros XB (AXB) dose calculation algorithms (Varian Medical Systems, Palo Alto, CA) was investigated for small radiation fields incident on phantoms of various metals that include stainless steel grade 316L (SS316L) and titanium alloy grade 5 (Ti5) implants. In addition, the effects of using metal artifact reduction for orthopedic implants (O-MAR, Philips Healthcare, Cleveland, OH) were evaluated. Methods: The evaluations of AAA and AXB were performed by comparing the crossline profiles calculated by AAA and AXB with GafChromic TM EBT3 film measurements at the phantom-implant interfaces and in close vicinity of implant materials for small field sizes (1 9 1 cm 2 , 2 9 2 cm 2 , 3 9 3 cm 2 , and 4 9 4 cm 2 ) of a 6 MV flattening filter free photon beam. O-MAR corrected and uncorrected (UC) computed tomography (CT) images were used for dose calculations. The values of average and standard deviations (SD) of Hounsfield unit (HU) for selected regions of each case were evaluated. The differences in average dose percentages in defined regions were calculated to quantify the relative dosimetric changes between doses calculated on UC and O-MAR corrected CT images. Results: Compared to UC images, the values of SD were reduced, and the average HU became closer to its reference value in the O-MAR images. There was some discrepancy in average dose percentage differences between calculations using UC and O-MAR images at 1 cm above the SS316L implant (average dose percentage differences were AXB/UC = 5.9% and AXB/O-MAR = À1.2%; AAA/UC = 2.2%, and AAA/O-MAR = À0.8%). Neither AAA nor AXB algorithms predict increase in dose at upper phantom-implant interface (4.9%, 9.9%. 13.5%, and 13.8% for the fields from 1 9 1 cm 2 to 4 9 4 cm 2 , respectively). At the side of the SS316L implant (where dark streak artifacts exist), dose difference averages were estimated as À 1.1% and 22.3% when AXB/O-MAR and AXB/UC calculations are compared with EBT3 measurements, respectively. Dose predictions at 1 cm below the SS316L implant were underestimated by AXB/O-MAR (average À0.5%) and AXB/ UC (average 2.0%). Conclusions:The O-MAR tool was shown to have a favorable dosimetric effect or no effect on the calculations in the upper proximity of the implant materials. The dose differences between EBT3 film measurements and calculations at upper phantom-implant interfaces were smaller when they were calculated using O-MAR images. However, the dose differences increased when O-MAR corrected images were used for AAA calculations at lower phantom-implant interfaces. Use of O-MAR enabled closer agreement for the AXB algorithm, especially in the dark streak artifact regions. The O-MAR algorithm should be used when the dose is calculated with the AXB algorithm in cases of patients with the metal implants. The estimations using AAA and AXB algorithms, in phantom setups, with Ti5 implant material were found to be closer to the EBT3 film measurements, when compared with th...

show abstract

The impact of smart metal artefact reduction algorithm for use in radiotherapy treatment planning

Cited by 14 publications

References 16 publications

The application of metal artifact reduction methods on computed tomography scans for radiotherapy applications: A literature review

The application of metal artifact reduction methods on computed tomography scans for radiotherapy applications: A literature review

The Dosimetric Evaluation of An In-House Software Developed For Metal Artefact Reduction On Two Different Radiotherapy Treatment Planning Systems

Effects of metal implants and a metal artifact reduction tool on calculation accuracy of AAA and Acuros XB algorithms in small fields

Contact Info

Product

Resources

About