Total hip prosthesis CT with single-energy projection-based metallic artifact reduction: impact on the visualization of specific periprosthetic soft tissue structures

Teixeira, Pedro Augusto Gondim; Meyer, J.-B.; Baumann, Cédric; Raymond, A.; Sirveaux, François; Coudane, H.; Blum, Alain

doi:10.1007/s00256-014-1923-5

Cited by 78 publications

(38 citation statements)

References 21 publications

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“…The dedicated metal artifact reduction technique, the single-energy metal artifact reduction (SEMAR, Toshiba Medical Systems) algorithm, was also introduced on 320-row CT scanners and studies showed that its application significantly reduced artifacts due to various metallic objects (e.g. dental metals (15,16), metallic coils (17) and hip prostheses (18)).…”

Section: Introductionmentioning

confidence: 99%

CT venography after knee replacement surgery: comparison of dual-energy CT-based monochromatic imaging and single-energy metal artifact reduction techniques on a 320-row CT scanner

Kidoh

Utsunomiya

Oda

et al. 2017

Acta Radiologica Open

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BackgroundAn optimal metal artifact reduction (MAR) technique is needed for a reliable and accurate image-based diagnosis.PurposeUsing a 320-row scanner, we compared the dual-energy computed tomography (CT)-based monochromatic and the single-energy metal artifact reduction (SEMAR) techniques for CT venography (CTV) to identify the better imaging method for diagnosing deep vein thrombosis (DVT) in patients who had undergone knee replacement surgery.Material and MethodsTwenty-three consecutive patients with suspected DVT after unilateral knee replacement surgery underwent dual-energy CT (135/80 kVp). Monochromatic images of 35–135 keV were generated; the monochromatic image with the best signal-to-noise ratio (SNR) of the popliteal vein near the metal prosthesis were selected. The projection data of 80 kVp were reconstructed using MAR algorithm. The mean SNR ON MAR and the best SNR ON monochromatic images were compared. Two radiologists evaluated visualization of the metal artifacts on a four-point scale where 1 = extensive artifacts, 2 = strong artifacts, 3 = mild artifacts, and 4 = minimal artifacts.ResultsThe mean SNR was significantly higher on the MAR than the monochromatic images (12.8 ± 4.7 versus 7.7 ± 5.1, P < 0.01) and the visual scores were significantly higher for MAR than monochromatic images (2.6 ± 0.8 versus 1.3 ± 0.4, P < 0.01).ConclusionFor CTV after knee replacement surgery, the MAR technique is superior to the monochromatic imaging technique.

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Section: Introductionmentioning

confidence: 99%

CT venography after knee replacement surgery: comparison of dual-energy CT-based monochromatic imaging and single-energy metal artifact reduction techniques on a 320-row CT scanner

Kidoh

Utsunomiya

Oda

et al. 2017

Acta Radiologica Open

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“…SEMAR is a raw data-based algorithm that reduces metal artefact by applying linear interpolation to repeating forward and back projection processes. Gondim Teixeira et al 17 introduced the SEMAR calculation steps. First, metal densities in the original CT image are segmented by HU threshold.…”

Section: Single-energy Metal Artefact Reductionmentioning

confidence: 99%

“…Although it has a higher computation cost than that of conventional image reconstruction, it can be applied to data after acquisition, facilitating its implementation into the routine workflow. While improvements in soft tissue visibility using SEMAR have been reported, 17,18 its use in radiation treatment planning has not been described. Since SEMAR changes HUs, its accuracy in quantifying actual lesions needs to be confirmed before using it in clinical treatment.…”

Section: Introductionmentioning

confidence: 99%

Single-energy metal artefact reduction with CT for carbon-ion radiation therapy treatment planning

Miki¹,

Mori²,

Hasegawa³

et al. 2016

BJR

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Objective: One approach to improving image quality of CT is to use metal artefact reduction image processing, such as single-energy metal artefact reduction (SEMAR). To quantify the impact of image correction on the quality of carbon-ion dose distribution, treatment planning using SEMAR was evaluated. Methods: Using a head phantom into which metal screws could be inserted, we acquired standard planning CT images. We calculated dose distributions using phantom images with and without metal added, and with and without SEMAR. Hounsfield unit (HU) and dose distribution variation of these images with and without SEMAR were measured using metal-free image subtraction. We similarly analysed the image data sets of two patients with head and neck cancer who had dental implants. Results: HU difference between metal-containing images and metal-free images without and with SEMAR were 279.5 6 97.2 HU and 21.4 6 19.5 HU on severe artefact area, respectively. The range of dose distribution difference from the prescribed dose between uncorrected and SEMAR-corrected images varied from 219.5% to 23.4% within planning target volume (PTV). PTV-D 95 (%) for uncorrected and SEMAR-corrected image data were 82.4% and 95.4%, respectively. For data in patients with metal dental work, PTV-D 95 (%) for uncorrected and SEMAR-corrected data were 92.2% and 92.5% (Patient 1), and 90.9% and 95.7% (Patient 2), respectively. Conclusion: SEMAR algorithm shows promise in improving CT image quality and in ensuring an accurate representation of dose distribution.

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“…Many studies suggest the effectiveness of DECT combined with MARs for the reduction of the metal‐related artefact. However, these studies have focused on improving image quality by reducing the metal‐related artefact instead of diagnostic performance for detecting periprosthetic osteolysis or loosening . In our study, there was no significant difference in the visibility of the structures around the prosthesis with and without MARs for most reference zones except for zone II.…”

Section: Discussionmentioning

confidence: 50%

Visibility of bony structures around hip prostheses in dual‐energy CT: With or without metal artefact reduction software

Jeong

Kim

et al. 2018

J Med Imag Rad Onc

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The 110 keV images without MARs are best for evaluating acetabular zone II. The visibility of the bony structures around the hip prosthesis is similar in the other zones with or without MARs regardless of keV. MARS may not be needed for the evaluation of the metallic hip prosthesis itself at sufficient high-energy levels; however, MARS still has a role in the evaluation of other soft tissues around the prosthesis.

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Total hip prosthesis CT with single-energy projection-based metallic artifact reduction: impact on the visualization of specific periprosthetic soft tissue structures

Abstract: SEMAR significantly improves the image quality of periarticular soft-tissue structures in patients with hip prostheses.

Cited by 78 publications

References 21 publications

CT venography after knee replacement surgery: comparison of dual-energy CT-based monochromatic imaging and single-energy metal artifact reduction techniques on a 320-row CT scanner

CT venography after knee replacement surgery: comparison of dual-energy CT-based monochromatic imaging and single-energy metal artifact reduction techniques on a 320-row CT scanner

Single-energy metal artefact reduction with CT for carbon-ion radiation therapy treatment planning

Visibility of bony structures around hip prostheses in dual‐energy CT: With or without metal artefact reduction software

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