Dataset Information

Quantitative analysis of metal artifact reduction in total hip arthroplasty using virtual monochromatic imaging and orthopedic metal artifact reduction, a phantom study.

ABSTRACT:

Objective

To quantify metal artifact reduction using 130 keV virtual monochromatic imaging (VMI) with and without orthopedic metal artifact reduction (O-MAR) in total hip arthroplasty.

Methods

Conventional polychromatic images and 130 keV VMI of a phantom with pellets representing bone with unilateral or bilateral prostheses were reconstructed with and without O-MAR on a dual-layer CT. Pellets were categorized as unaffected, mildly affected and severely affected.

Results

When 130 keV VMI with O-MAR was compared to conventional imaging with O-MAR, a relative metal artifact reduction in CT values, contrast-to-noise (CNR), signal-to-noise (SNR) and noise in mildly affected pellets (67%, 74%, 48%, 68%, respectively; p < 0.05) was observed but no significant relative metal artifact reduction in severely affected pellets. Comparison between 130 keV VMI without O-MAR and conventional imaging with O-MAR showed relative metal artifact reduction in CT values, CNR, SNR and noise in mildly affected pellets (92%, 72%, 38%, 51%, respectively; p < 0.05) but negative relative metal artifact reduction in CT values and noise in severely affected pellets (- 331% and -223%, respectively; p < 0.05), indicating aggravation of metal artifacts.

Conclusion

Overall, VMI of 130 keV with O-MAR provided the strongest metal artifact reduction.

SUBMITTER: Selles M

PROVIDER: S-EPMC8613319 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Publications

Quantitative analysis of metal artifact reduction in total hip arthroplasty using virtual monochromatic imaging and orthopedic metal artifact reduction, a phantom study.

Selles Mark M Stuivenberg Vera H VH Wellenberg Ruud H H RHH van de Riet Loes L Nijholt Ingrid M IM van Osch Jochen A C JAC van Hamersvelt Robbert W RW Leiner Tim T Boomsma Martijn F MF

Insights into imaging 20211124 1

<h4>Objective</h4>To quantify metal artifact reduction using 130 keV virtual monochromatic imaging (VMI) with and without orthopedic metal artifact reduction (O-MAR) in total hip arthroplasty.<h4>Methods</h4>Conventional polychromatic images and 130 keV VMI of a phantom with pellets representing bone with unilateral or bilateral prostheses were reconstructed with and without O-MAR on a dual-layer CT. Pellets were categorized as unaffected, mildly affected and severely affected.<h4>Results</h4>Wh ...[more]

PMID: 34817722

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Project description:PurposeLiterature regarding total hip arthroplasty for pediatric hip diseases is scarce. This review aims to portray the various orthopedic conditions of childhood that can lead to significant impairment of the hip joint and, ultimately, to total hip arthroplasty in adolescence and adulthood.MethodsIn total, 61 out of 3666 articles were selected according to (1) the diagnosis of one of the 12 pediatric hip pathologies (Legg-Perthes-Calvé disease, developmental dysplasia of the hip, slipped capital femoral epiphysis, neuromuscular hip dysplasia, post-traumatic avascular necrosis of the proximal femur, juvenile rheumatoid arthritis, achondroplasia, spondyloepiphyseal dysplasia, mucopolysaccharidosis, mucolipidosis, hip infections, and tumors) that required total hip arthroplasty; (2) minimum follow-up of 16 months; (3) assessed outcome with a clinical or radiologic score; (4) Methodological Items for Non-Randomized Studies quality score of 9 or higher. The following information for each pathology was retrieved: mean age at total hip arthroplasty, reason for total hip arthroplasty, type of total hip arthroplasty, surgical technique, mean follow-up, and outcomes.ResultsOverall, the mean age at total hip arthroplasty for pediatric hip disease is in the sixth and seventh decade, except for tumors and skeletal dysplasias. The reason for performing total hip arthroplasty is often osteoarthrosis and abnormal anatomy. Prosthesis types change based on patient's conditions and technological advances; custom-made implants are used for tumors, juvenile rheumatoid arthritis, and skeletal dysplasias; for other diseases, the most frequent are modular cementless implants. Outcomes are generally good, and all studies portray functional and pain improvements.ConclusionTotal hip arthroplasty is performed more frequently than in the past in patients with pediatric hip pathologies; it enhances patients' quality of life by reducing pain and improving function. However, revision rate in these patients is not negligible.

Project description:BackgroundTo explore the feasibility and effectiveness of the metal artifact reduction software (MARs) reconstruction algorithm in reducing metal artifacts of knee prostheses and to explore the optimal monochromatic level of virtual monochromatic spectral (VMS) images for artifact reduction to provide high-quality images and reliable diagnosis in patients after total knee arthroplasty (TKA).MethodsA total of 31 patients underwent gemstone spectral computed tomography. VMS images with MARs and without MARs were obtained at different energy levels (80, 100, 120, and 140 keV). Two observers scored each group of images, and interobserver agreement was evaluated. Artificial indices (AIs), percentage500HU and structural similarity index measure (SSIM) values were calculated in the objective analysis to evaluate the image quality and impact of metal artifacts.ResultsThe consistency of the scores of the 2 observers was good (kappa value =0.78), and the score of the VMS images with MARs was higher than that of VMS images without MARs. AI values and percentage500HU of the MARs group were significantly lower than those of the without MARs group, while SSIM values were significantly higher. In the comparison of different keV images, the AI value decreased with the increase in keV in the range of 80-120 keV, but there was no significant difference between the 120 keV images and 140 keV images. In the group with MARs, the percentage500HU of 100-140 keV images was significantly lower than that of the 80 keV images, but there was no significant difference between 100, 120, and 140 keV images. In the group without MARs, the percentage500HU was significantly different among all keV groups.ConclusionsVMS images combined with the MARs algorithm can significantly reduce the metal artifacts of knee prostheses and improve image quality. At an energy level of 100-120 keV, a good metal artifact removal effect and soft tissue contrast can be achieved, and the best metal artifact removal effect can be achieved at 140 keV.

Project description:The present study aimed to develop a denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm for decreasing metal objects in digital tomosynthesis (DT) for arthroplasty by using projection data. For metal artifact reduction (MAR), we implemented a DnCNN-MARHR algorithm based on a training network (mini-batch stochastic gradient descent algorithm with momentum) to estimate the residual reference (140 keV virtual monochromatic [VM]) and object (70 kV with metal artifacts) images. For this, we used projection data and subtracted the estimated residual images from the object images, involving hybrid and subjectively reconstructed image usage (back projection and maximum likelihood expectation maximization [MLEM]). The DnCNN-MARHR algorithm was compared with the dual-energy material decomposition reconstruction algorithm (DEMDRA), VM, MLEM, established and commonly used filtered back projection (FBP), and a simultaneous algebraic reconstruction technique-total variation (SART-TV) with MAR processing. MAR was compared using artifact index (AI) and texture analysis. Artifact spread functions (ASFs) for images that were out-of-plane and in-focus were evaluated using a prosthesis phantom. The overall performance of the DnCNN-MARHR algorithm was adequate with regard to the ASF, and the derived images showed better results, without being influenced by the metal type (AI was almost equal to the best value for the DEMDRA). In the ASF analysis, the DnCNN-MARHR algorithm generated better MAR compared with that obtained employing usual algorithms for reconstruction using MAR processing. In addition, comparison of the difference (mean square error) between DnCNN-MARHR and the conventional algorithm resulted in the smallest VM. The DnCNN-MARHR algorithm showed the best performance with regard to image homogeneity in the texture analysis. The proposed algorithm is particularly useful for reducing artifacts in the longitudinal direction, and it is not affected by tissue misclassification.

Dataset Information

Quantitative analysis of metal artifact reduction in total hip arthroplasty using virtual monochromatic imaging and orthopedic metal artifact reduction, a phantom study.

Objective

Methods

Results

Conclusion

Publications

Quantitative analysis of metal artifact reduction in total hip arthroplasty using virtual monochromatic imaging and orthopedic metal artifact reduction, a phantom study.

Similar Datasets

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