Journal of Diagnostics Concepts & Practice >

2022 , Vol. 21 >Issue 03: 380 - 384

DOI: https://doi.org/10.16150/j.1671-2870.2022.03.015

Original articles

Application value of iMAR algorithm in reducing metal artifacts from abdominal implants

Expand
  • Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai 200025, China

Received date: 2022-05-21

  Online published: 2022-08-17

Fold

Abstract

Objective: To explore application value of iterative metal artifact reduction (iMAR) algorithm in reducing the artifacts from abdominal metal implants. Methods: The CT images of 32 patients with abdominal metal implants were reconstructed with both iMAR and filtered back projection (FBP) algorithm, respectively. Subjective image quality was assessed by two independent radiologists. Objective image quality indic including signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and artifact index (AI) were calculated by the noise values measured at the most severe level of artifacts near metal implants on images of both iMAR and FBP algorithms. Difference in subjective and objective image quality assessment between iMAR and FBP algorithms was compared. Results: The overall subjective quality score of iMAR images was significantly higher than FBP images (3.656±0.475 vs. 2.156±0.618, P<0.050). Both SNR and CNR of iMAR image were significantly higher than those of FBP images(SNR: 1.890±1.864 vs. 0.720±1.384, P=0.002; CNR: 35.872±13.154 vs. 15.245±12.362, P<0.050, respectively). AI of iMAR images was significantly lower than that of FBP images (32.690±15.694 vs. 152.594±117.203, P<0.050). Conclusions: iMAR can significantly decrease the metal artifacts and improve the image quality in clinical practice.

Key words： CT imaging; Metal artifact; Iterative metal artifact reduction

Cite this article

ZHOU Huiyun, LÜ Xiaoyu, LI Jiqiang, DONG Haipeng, ZHANG Weihua . Application value of iMAR algorithm in reducing metal artifacts from abdominal implants[J]. Journal of Diagnostics Concepts & Practice, 2022 , 21(03) : 380 -384 . DOI: 10.16150/j.1671-2870.2022.03.015

References

[1] Morsbach F, Bickelhaupt S, Wanner GA, et al. Reduction of metal artifacts from hip prostheses on CT images of the pelvis: value of iterative reconstructions[J]. Radiology, 2013, 268(1):237-244.
[2] Boas FE, Fleischmann D. Evaluation of two iterative techniques for reducing metal artifacts in computed tomography[J]. Radiology, 2011, 259(3):894-902.
[3] Lee MJ, Kim S, Lee SA, et al. Overcoming artifacts from metallic orthopedic implants at high-field-strength MR imaging and multi-detector CT[J]. Radiographics, 2007, 27(3):791-803.
[4] 李杰, 孙兴文, 袁慧书. 去金属伪影技术的发展应用[J]. 中华放射学杂志, 2021, 55(9):889-894.
[4] Li J, Sun XW, Yuan HS. The development and application of metal artifact reduction techniques[J]. Chin J Radiol, 2021, 55(9):889-894.
[5] Pua R, Wi S, Park M, et al. An image-based reduction of metal artifacts in computed tomography[J]. J Comput Assist Tomogr, 2016, 40(1):131-141.
[6] Axente M, Paidi A, Von Eyben R, et al. Clinical evaluation of the iterative metal artifact reduction algorithm for CT simulation in radiotherapy[J]. Med Phys, 2015, 42(3):1170-1183.
[7] Hu Y, Pan S, Zhao X, et al. Value and clinical application of orthopedic metal artifact reduction algorithm in CT scans after orthopedic metal implantation[J]. Korean J Radiol, 2017, 18(3):526-535.
[8] Wellenberg RH, Boomsma MF, van Osch JA, et al. Computed tomography imaging of a hip prosthesis using ite-rative model-based reconstruction and orthopaedic metal artefact reduction: a quantitative analysis[J]. J Comput Assist Tomogr, 2016, 40(6):971-978.
[9] Laurent G, Villani N, Hossu G, et al. Full model-based iterative reconstruction (MBIR) in abdominal CT increa-ses objective image quality, but decreases subjective acceptance[J]. Eur Radiol, 2019, 29(8):4016-4025.
[10] Ishikawa T, Suzuki S, Harashima S, et al. Metal artifacts reduction in computed tomography: a phantom study to compare the effectiveness of metal artifact reduction algorithm, model-based iterative reconstruction, and virtual monochromatic imaging[J]. Medicine (Baltimore), 2020, 99(50):e23692.
[11] 刘颖, 张磊, 谢丽响, 等. O-MAR技术去金属植入物伪影的临床价值[J]. 中国医学计算机成像杂志, 2018, 24(1):92-95.
[11] Liu Y, Zhang L, Xie LX, et al. Application of O-MAR technique in reducing the metallic implants artifacts[J]. Chin Comp Med Imaging, 2018, 24(1):92-95.
[12] 郁斌, 吕富荣, 张黎, 等. 胸部CT扫描中迭代去金属伪影算法减少金属伪影的有效性[J]. 中国医学影像技术, 2017, 33(4):590-593.
[12] Yu B, Lv FR, Zhang L, et al. Effectiveness of iterative metal artifact reduction for reduction of metal artifact in chest CT scanning[J]. Chin J Med Imaging Technol, 2017, 33(4):590-593.
[13] Wang F, Xue H, Yang X, et al. Reduction of metal artifacts from alloy hip prostheses in computer tomography[J]. J Comput Assist Tomogr, 2014, 38(6):828-833.
[14] 李传东, 陈晓亮, 赵其超, 等. 基于SEMAR技术在CT检查中去除金属假体伪影临床应用价值的研究[J]. 临床放射学杂志, 2017, 36(7):1038-1041.
[14] Li CD, Chen XL, Zhao QC, et al. The clinical significance of the metal arthroplasty artifact reduction based on SEMAR technology[J]. J Clin Radiol, 2017, 36(7):1038-1041.
[15] 姚开情, 吕发金, 吕亮, 等. IMAR在去除髋关节植入物金属伪影中的临床价值[J]. 重庆医学, 2020, 49(12):1943-1945.
[15] Yao KQ, Lv FJ, Lv L, et al. Clinical value of iterative metal artifact reduction in reducing metal artifacts of hip implantation material[J]. Chongqing Med, 2020, 49(12):1943-1945.
[16] Wayer DR, Kim NY, Otto BJ, et al. Unintended consequences: review of new artifacts introduced by iterative reconstruction CT metal artifact reduction in spine ima-ging[J]. AJNR, 2019, 40(11):1973-1975.
[17] Kotsenas AL, Michalak GJ, DeLone DR, et al. CT metal artifact reduction in the Spine: Can an iterative reconstruction technique improve visualization?[J]. AJNR, 2015, 36(11):2184-2190.
[18] Wellenberg RHH, van Osch JAC, Boelhouwers HJ, et al. CT radiation dose reduction in patients with total hip arthroplasties using model-based iterative reconstruction and orthopaedic metal artefact reduction[J]. Skeletal Radiol, 2019, 48(11):1775-1785.
[19] Hakim A, Pastore-Wapp M, Vulcu S, et al. Efficiency of iterative metal artifact reduction algorithm (iMAR) applied to brain volume perfusion CT in the follow-up of patients after coiling or clipping of ruptured brain aneurysms[J]. Sci Rep, 2019, 9(1):19423.
[20] Shinohara Y, Ohmura T, Sasaki F, et al. Appropriate iMAR presets for metal artifact reduction from surgical clips and titanium burr hole covers on postoperative non-contrast brain CT[J]. Eur J Radiol, 2021, 141:109811.
Options
Outlines

/

〈 〉