Metal Artifact Reduction With Tin Prefiltration in Computed Tomography

Hackenbroch, Carsten; Schüle, Simone; Halt, Daniel; Zengerle, Laura; Beer, Meinrad

doi:10.1097/rli.0000000000000823

Cited by 27 publications

(33 citation statements)

References 47 publications

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“…Soft tissue examinations and especially examinations with contrast media should not be performed with this technique 41 . Significant advantages have already been demonstrated, for example, for paranasal sinuses, 6,7,41 lung imaging, 5,43 and metal artifact reduction 18 . Photon-counting detector CT scanners mark the beginning of a new era in CT imaging 45–48 .…”

Section: Discussionmentioning

confidence: 99%

“…Mild impairment was observed in ND as well as in Sn LD protocols because of restrictions due to metal artifacts that were similarly displayed in ND and Sn LD protocols. The potential of tin filter-based protocols without dose reduction to reduce metal artifacts has already been described by Hackenbroch et al 18 Other effective metal artifact reduction techniques described in the literature, [30][31][32][33][34][35] such as DE, virtual monoenergetic CT images (VMI), and postprocessing with iterative metal artifact reduction (IMAR) software, showed disadvantages compared with the tin filter technique. 18 The most common described disadvantages of CT images postprocessed with IMAR and VMI were the generation of novel artifacts by IMAR 33,[36][37][38] and the "blurring" of osseous structures in VMI.…”

Section: †Anovamentioning

confidence: 99%

“…The potential of tin filter-based protocols without dose reduction to reduce metal artifacts has already been described by Hackenbroch et al 18 Other effective metal artifact reduction techniques described in the literature, [30][31][32][33][34][35] such as DE, virtual monoenergetic CT images (VMI), and postprocessing with iterative metal artifact reduction (IMAR) software, showed disadvantages compared with the tin filter technique. 18 The most common described disadvantages of CT images postprocessed with IMAR and VMI were the generation of novel artifacts by IMAR 33,[36][37][38] and the "blurring" of osseous structures in VMI. 18 In our study, the assessability of cancellous bone contributed most to the increase in summed Likert scores in Sn LD compared with ND CT images of patients without metal implants, leading to a reduced general image evaluability.…”

Section: †Anovamentioning

confidence: 99%

“…Our group has previously described the superiority of LD CT examinations with tin filtration over radiographs in follow-up MSK pelvic examinations in a phantom study 17 and the usage of ND tin-filtered CT images for metal artifact reduction while maintaining high image quality over other novel metal artifact reduction techniques (dual-energy CT) 18 …”

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Low-Dose CT Imaging of the Pelvis in Follow-up Examinations—Significant Dose Reduction and Impact of Tin Filtration

et al. 2022

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Objectives: Low-dose (LD) computed tomography (CT) is still rarely used in musculoskeletal (MSK) radiology. This study evaluates the potentials of LD CT for follow-up pelvic imaging with special focus on tin filtration (Sn) technology for normal and obese patients with and without metal implants. Materials and Methods: In a phantom study, 5 different LD and normal-dose (ND) CT protocols with and without tin filtration were tested using a normal and an obese phantom. Iterative reconstruction (IR) and filtered back projection (FBP) were used for CT image reconstruction. In a subsequent retrospective patient study, ND CT images of 45 patients were compared with follow-up tin-filtered LD CT images with a 90% dose reduction. Sixty-four percent of patients contained metal implants at the follow-up examination. Computed tomography images were objectively (image noise, contrast-to-noise ratio [CNR], dose-normalized contrast-to-noise ratio [CNRD]) and subjectively, using a 6-point Likert score, evaluated. In addition, the figure of merit was calculated. For group comparisons, paired t tests, Wilcoxon signed rank test, analysis of variance, or Kruskal-Wallis tests were used, where applicable. Results: The LD Sn protocol with 67% dose reduction resulted in equal values in qualitative (Likert score) and quantitative image analysis (image noise) compared with the ND protocol in the phantom study. For follow-up examinations, dose could be reduced up to 90% by using Sn LD CT scans without impairment in the clinical study. However, metal implants resulted in a mild impairment of Sn LD as well as ND CT images. Cancellous bone (P < 0.001) was assessed worse and cortical bone ( P = 0.063) equally in Sn LD CT images compared with ND CT images. Figure of merit values were significant ( P ≤ 0.02) lower and hence better in Sn LD as in ND protocols. Obese patients benefited in particular from tin filtration in LD MSK imaging in terms of image noise and CNR ( P ≤ 0.05). Conclusions: Low-dose CT scans with tin filtration allow maximum dose reduction while maintaining high image quality for certain clinical purposes, for example, follow-up examinations, especially metal implant position, material loosening, and consolidation controls. Overweight patients benefit particularly from tin filter technology. Although metal implants decrease image quality in ND as well as in Sn LD CT images, this is not a relevant limitation for assessability.

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Section: Discussionmentioning

confidence: 99%

Section: †Anovamentioning

confidence: 99%

Section: †Anovamentioning

confidence: 99%

mentioning

confidence: 99%

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Low-Dose CT Imaging of the Pelvis in Follow-up Examinations—Significant Dose Reduction and Impact of Tin Filtration

et al. 2022

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“…6 The combination of 150 kV in prefiltration and iterative metal artifact reduction may improve image quality and reduce the effective dose. 7 It is advisable to review original and postprocessed data sets because iterative metal artifact reduction techniques may introduce new artifacts around implants depending on settings and techniques. 8 Whereas metal artifact reduction software focuses primarily on decreasing dark streak artifacts from photon starvation, dual-energy computed tomography (DECT) effectively decreases metal implant-induced bright streak artifacts due to beam-hardening artifacts.…”

Section: Computed Tomographymentioning

confidence: 99%

Postoperative Musculoskeletal Imaging and Interventions Following Hip Preservation Surgery, Deformity Correction, and Hip Arthroplasty

Samim

Khodarahmi

Burke

et al. 2022

Semin Musculoskelet Radiol

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Total hip arthroplasty and hip preservation surgeries have substantially increased over the past few decades. Musculoskeletal imaging and interventions are cornerstones of comprehensive postoperative care and surveillance in patients undergoing established and more recently introduced hip surgeries. Hence the radiologist's role continues to evolve and expand. A strong understanding of hip joint anatomy and biomechanics, surgical procedures, expected normal postoperative imaging appearances, and postoperative complications ensures accurate imaging interpretation, intervention, and optimal patient care. This article presents surgical principles and procedural details pertinent to postoperative imaging evaluation strategies after common hip surgeries, such as radiography, ultrasonography, computed tomography, and magnetic resonance imaging. We review and illustrate the expected postoperative imaging appearances and complications following chondrolabral repair, acetabuloplasty, osteochondroplasty, periacetabular osteotomy, realigning and derotational femoral osteotomies, and hip arthroplasty.

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Preclinical validation of a novel deep learning‐based metal artifact correction algorithm for orthopedic CT imaging

Guo,

Zou,

Zhang

et al. 2023

J Applied Clin Med Phys

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PurposeTo validate a novel deep learning‐based metal artifact correction (MAC) algorithm for CT, namely, AI‐MAC, in preclinical setting with comparison to conventional MAC and virtual monochromatic imaging (VMI) technique.Materials and methodsAn experimental phantom was designed by consecutively inserting two sets of pedicle screws (size Φ 6.5 × 30‐mm and Φ 7.5 × 40‐mm) into a vertebral specimen to simulate the clinical scenario of metal implantation. The resulting MAC, VMI, and AI‐MAC images were compared with respect to the metal‐free reference image by subjective scoring, as well as by CT attenuation, image noise, signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), and correction accuracy via adaptive segmentation of the paraspinal muscle and vertebral body.ResultsThe AI‐MAC and VMI images showed significantly higher subjective scores than the MAC image (all p < 0.05). The SNRs and CNRs on the AI‐MAC image were comparable to the reference (all p > 0.05), whereas those on the VMI were significantly lower (all p < 0.05). The paraspinal muscle segmented on the AI‐MAC image was 4.6% and 5.1% more complete to the VMI and MAC images for the Φ 6.5 × 30‐mm screws, and 5.0% and 5.1% for the Φ 7.5 × 40‐mm screws, respectively. The vertebral body segmented on the VMI was closest to the reference, with only 3.2% and 7.4% overestimation for Φ 6.5 × 30‐mm and Φ 7.5 × 40‐mm screws, respectively.ConclusionsUsing metal‐free reference as the ground truth for comparison, the AI‐MAC outperforms VMI in characterizing soft tissue, while VMI is useful in skeletal depiction.

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Metal Artifact Reduction With Tin Prefiltration in Computed Tomography

Cited by 27 publications

References 47 publications

Low-Dose CT Imaging of the Pelvis in Follow-up Examinations—Significant Dose Reduction and Impact of Tin Filtration

Low-Dose CT Imaging of the Pelvis in Follow-up Examinations—Significant Dose Reduction and Impact of Tin Filtration

Postoperative Musculoskeletal Imaging and Interventions Following Hip Preservation Surgery, Deformity Correction, and Hip Arthroplasty

Preclinical validation of a novel deep learning‐based metal artifact correction algorithm for orthopedic CT imaging

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