Quantitative assessment of three vendor’s metal artifact reduction techniques for CT imaging using a customized phantom

Abstract A metal implant was placed in an acrylic phantom to enable quantitative analysis of the metal artifact reduction techniques used in computed tomography (CT) scanners from three manufacturers. Two titanium rods were placed in a groove in a cylindrical phantom made by acrylic, after which the groove was filled with water. The phantom was scanned using three CT scanners (Toshiba, GE, Siemens) under the abdomen CT setting. CT number accuracy, contrast-to-noise ratio, area of the metal rods in the images, and fraction of affected pixel area of water were measured using ImageJ. Different iterative reconstruction, dual energy, and metal artifact reduction techniques were compared within three vendors. The highest contrast-to-noise ratio of three scanners were 85.7 ± 8.4 (Toshiba), 85.9 ± 11.7 (GE), and 55.0 ± 14.8 (Siemens); and the most correct results of metal area were 157.1 ± 1.4 mm2 (Toshiba), 155.0 ± 1.0 (GE), and 170.6 ± 5.3 (Siemens). The fraction of affected pixel area obtained using single-energy metal artifact reduction of Toshiba scanner was 2.2% ± 0.7%, which is more favorable than 4.1% ± 0.7% obtained using metal artifact reduction software of GE scanner (p = 0.002). Among all quantitative results, the estimations with fraction of affected pixel areas matched the effect of metal artifact reduction in the actual images. Therefore, the single-energy metal artifact reduction technique of Toshiba scanner had a desirable effect. The metal artifact reduction software of GE scanner effectively reduced the effect of metal artifacts; however, it underestimated the size of the metal rods. The monoenergetic and dual energy composition techniques of Siemens scanner could not effectively reduce metal artifacts.

[1]  Francesco C Stingo,et al.  An evaluation of three commercially available metal artifact reduction methods for CT imaging , 2015, Physics in medicine and biology.

[2]  Impact of metal artifact reduction software on image quality of gemstone spectral imaging dual-energy cerebral CT angiography after intracranial aneurysm clipping , 2017, Neuroradiology.

[3]  Steve B. Jiang,et al.  A hybrid metal artifact reduction algorithm for x-ray CT. , 2013, Medical physics.

[4]  Robert G. Paden,et al.  Metal artifact reduction image reconstruction algorithm for CT of implanted metal orthopedic devices: a work in progress , 2009, Skeletal Radiology.

[5]  Jin-Suck Suh,et al.  Metal artefact reduction in gemstone spectral imaging dual-energy CT with and without metal artefact reduction software , 2012, European Radiology.

[6]  Roland Wiest,et al.  Clinical evaluation of the iterative metal artefact reduction algorithm for post-operative CT examination after maxillofacial surgery. , 2017, Dento maxillo facial radiology.

[7]  Erratum to: Evaluation of the quality of CT images acquired with the single energy metal artifact reduction (SEMAR) algorithm in patients with hip and dental prostheses and aneurysm embolization coils , 2015, Japanese Journal of Radiology.

[8]  J. Milles,et al.  Low-dose CT imaging of a total hip arthroplasty phantom using model-based iterative reconstruction and orthopedic metal artifact reduction , 2017, Skeletal Radiology.

[9]  N. Nitta,et al.  Evaluation of the quality of CT images acquired with the single energy metal artifact reduction (SEMAR) algorithm in patients with hip and dental prostheses and aneurysm embolization coils , 2015, Japanese Journal of Radiology.

[10]  P. Thunberg,et al.  Metal artefact reduction in CT imaging of hip prostheses—an evaluation of commercial techniques provided by four vendors. , 2015, The British journal of radiology.

[11]  K. Ohtomo,et al.  Metal artefact reduction for patients with metallic dental fillings in helical neck computed tomography: comparison of adaptive iterative dose reduction 3D (AIDR 3D), forward-projected model-based iterative reconstruction solution (FIRST) and AIDR 3D with single-energy metal artefact reduction (SEMA , 2016, Dento maxillo facial radiology.

[12]  Jacob Geleijns,et al.  Metal artifact reduction for CT: development, implementation, and clinical comparison of a generic and a scanner-specific technique. , 2012, Medical physics.

[13]  Satyapal Rathee,et al.  Clinical evaluation of normalized metal artifact reduction in kVCT using MVCT prior images (MVCT-NMAR) for radiation therapy treatment planning. , 2014, International journal of radiation oncology, biology, physics.

[14]  Walaa Hamed,et al.  Quantitative analysis of metallic artifacts caused by dental metallic restorations: Comparison between four CBCT scanners , 2016 .

[15]  Habib Zaidi,et al.  3D Prior Image Constrained Projection Completion for X-ray CT Metal Artifact Reduction , 2013, IEEE Transactions on Nuclear Science.

[16]  Gerald Antoch,et al.  Metal Artifact Reduction in Computed Tomography After Deep Brain Stimulation Electrode Placement Using Iterative Reconstructions , 2017, Investigative radiology.

[17]  Y. Yamashita,et al.  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 , 2017, Acta radiologica open.

[18]  Ming Li,et al.  Gaussian diffusion sinogram inpainting for X-ray CT metal artifact reduction , 2017, Biomedical engineering online.

[19]  Jongduk Baek,et al.  A metal artifact reduction algorithm in CT using multiple prior images by recursive active contour segmentation , 2017, PloS one.

[20]  M. Geijer,et al.  Visual grading evaluation of commercially available metal artefact reduction techniques in hip prosthesis computed tomography. , 2016, The British journal of radiology.

[21]  Yong Eun Chung,et al.  Metal artifact reduction software used with abdominopelvic dual-energy CT of patients with metal hip prostheses: assessment of image quality and clinical feasibility. , 2014, AJR. American journal of roentgenology.