Korean Journal of Radiology

The Korean Society of Radiology (대한영상의학회)
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Practical Application of Iterative Decomposition of Water and Fat with Echo Asymmetry and Least-Squares Estimation (IDEAL) Imaging in Minimizing Metallic Artifacts

  • Cha, Jang-Gyu (Department of Radiology, Soonchunhyang University Bucheon Hospital) ;
  • Hong, Hyun-Sook (Department of Radiology, Soonchunhyang University Bucheon Hospital) ;
  • Park, Jai-Soung (Department of Radiology, Soonchunhyang University Bucheon Hospital) ;
  • Paik, Sang-Hyun (Department of Radiology, Soonchunhyang University Bucheon Hospital) ;
  • Lee, Hae-Kyung (Department of Radiology, Soonchunhyang University Bucheon Hospital)
  • Published : 2012.06.01
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Abstract

Iterative decomposition of water and fat with echo asymmetry and the least-squares estimation (IDEAL) is a recently developed method for robust separation of fat and water with very high signal-to-noise-ratio (SNR) efficiency. In contrast to conventional fat-saturation methods, IDEAL is insensitive to magnetic field (B0 and B1) inhomogeneity. The aim of this study was to illustrate the practical application of the IDEAL technique in reducing metallic artifacts in postoperative patients with metallic hardware. The IDEAL technique can help musculoskeletal radiologists make an accurate diagnosis particularly in musculoskeletal imaging by reducing metallic artifacts, enabling the use of contrast enhancement, improving SNR performance, and providing various modes of MR images with one scan parameter.

Keywords

References

  1. Lee MJ, Kim S, Lee SA, Song HT, Huh YM, Kim DH, et al. Overcoming artifacts from metallic orthopedic implants at high-field-strength MR imaging and multi-detector CT. Radiographics 2007;27:791-803 https://doi.org/10.1148/rg.273065087
  2. Murakami M, Mori H, Kunimatsu A, Abe O, Chikuda H, Ono T, et al. Postsurgical spinal magnetic resonance imaging with iterative decomposition of water and fat with echo asymmetry and least-squares estimation. J Comput Assist Tomogr 2011;35:16-20
  3. Harris CA, White LM. Metal artifact reduction in musculoskeletal magnetic resonance imaging. Orthop Clin North Am 2006;37:349-359, vi
  4. Cha JG, Jin W, Lee MH, Kim DH, Park JS, Shin WH, et al. Reducing metallic artifacts in postoperative spinal imaging: usefulness of IDEAL contrast-enhanced T1- and T2-weighted MR imaging--phantom and clinical studies. Radiology 2011;259:885-893 https://doi.org/10.1148/radiol.11101856
  5. Gerdes CM, Kijowski R, Reeder SB. IDEAL imaging of the musculoskeletal system: robust water fat separation for uniform fat suppression, marrow evaluation, and cartilage imaging. AJR Am J Roentgenol 2007;189:W284-W291 https://doi.org/10.2214/AJR.07.2593
  6. Zhuo J, Gullapalli RP. AAPM/RSNA physics tutorial for residents: MR artifacts, safety, and quality control. Radiographics 2006;26:275-297 https://doi.org/10.1148/rg.261055134
  7. Berquist TH. Imaging of the postoperative spine. Radiol Clin North Am 2006;44:407-418 https://doi.org/10.1016/j.rcl.2006.01.002
  8. Vandevenne JE, Vanhoenacker FM, Parizel PM, Butts Pauly K, Lang RK. Reduction of metal artefacts in musculoskeletal MR imaging. JBR-BTR 2007;90:345-349
  9. Bydder GM, Steiner RE, Blumgart LH, Khenia S, Young IR. MR imaging of the liver using short TI inversion recovery sequences. J Comput Assist Tomogr 1985;9:1084-1089 https://doi.org/10.1097/00004728-198511000-00015
  10. Fuller S, Reeder S, Shimakawa A, Yu H, Johnson J, Beaulieu C, et al. Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) fast spinecho imaging of the ankle: initial clinical experience. AJR Am J Roentgenol 2006;187:1442-1447 https://doi.org/10.2214/AJR.05.0930
  11. Reeder SB, Pineda AR, Wen Z, Shimakawa A, Yu H, Brittain JH, et al. Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): application with fast spin-echo imaging. Magn Reson Med 2005;54:636- 644 https://doi.org/10.1002/mrm.20624
  12. Yu H, Reeder SB, Shimakawa A, Brittain JH, Pelc NJ. Field map estimation with a region growing scheme for iterative 3-point water-fat decomposition. Magn Reson Med 2005;54:1032-1039 https://doi.org/10.1002/mrm.20654
  13. Reeder SB, Wen Z, Yu H, Pineda AR, Gold GE, Markl M, et al. Multicoil Dixon chemical species separation with an iterative least-squares estimation method. Magn Reson Med 2004;51:35-45 https://doi.org/10.1002/mrm.10675
  14. Eckstein F, et al. Articular cartilage in the knee: current MR imaging techniques and applications in clinical practice and research. Radiographics 2011;31:37-61 https://doi.org/10.1148/rg.311105084
  15. Leffler S, Disler DG. MR imaging of tendon, ligament, and osseous abnormalities of the ankle and hindfoot. Radiol Clin North Am 2002;40:1147-1170 https://doi.org/10.1016/S0033-8389(02)00052-0

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