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Estimation of $T_2{^*}$ Relaxation Times for the Glandular Tissue and Fat of Breast at 3T MRI System

3테슬러 자기공명영상기기에서 유방의 유선조직과 지방조직의 $T_2{^*}$이완시간 측정

  • Ryu, Jung Kyu (Department of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University) ;
  • Oh, Jang-Hoon (Department of Biomedical Engineering, College of Electronics and Information Kyung Hee University) ;
  • Kim, Hyug-Gi (Department of Biomedical Engineering, College of Electronics and Information Kyung Hee University) ;
  • Rhee, Sun Jung (Department of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University) ;
  • Seo, Mirinae (Graduate College of Medicine, Kyung Hee University) ;
  • Jahng, Geon-Ho (Department of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University)
  • 류정규 (경희대학교 의과대학 강동경희대학교병원 영상의학과) ;
  • 오장훈 (경희대학교 전자정보대학 생체의공학과) ;
  • 김혁기 (경희대학교 전자정보대학 생체의공학과) ;
  • 이선정 (경희대학교 의과대학 강동경희대학교병원 영상의학과) ;
  • 서미리내 (경희대학교 의과대학 대학원) ;
  • 장건호 (경희대학교 의과대학 강동경희대학교병원 영상의학과)
  • Received : 2014.02.24
  • Accepted : 2014.03.12
  • Published : 2014.03.30

Abstract

Purpose : $T_2{^*}$ relaxation time which includes susceptibility information represents unique feature of tissue. The objective of this study was to investigate $T_2{^*}$ relaxation times of the normal glandular tissue and fat of breast using a 3T MRI system. Materials and Methods: Seven-echo MR Images were acquired from 52 female subjects (age $49{\pm}12 $years; range, 25 to 75) using a three-dimensional (3D) gradient-echo sequence. Echo times were between 2.28 ms to 25.72 ms in 3.91 ms steps. Voxel-based $T_2{^*}$ relaxation times and $R_2{^*}$ relaxation rate maps were calculated by using the linear curve fitting for each subject. The 3D regions-of-interest (ROI) of the normal glandular tissue and fat were drawn on the longest echo-time image to obtain $T_2{^*}$ and $R_2{^*}$ values. Mean values of those parameters were calculated over all subjects. Results: The 3D ROI sizes were $4818{\pm}4679$ voxels and $1455{\pm}785$ voxels for the normal glandular tissue and fat, respectively. The mean $T_2{^*}$ values were $22.40{\pm}5.61ms$ and $36.36{\pm}8.77ms$ for normal glandular tissue and fat, respectively. The mean $R_2{^*}$ values were $0.0524{\pm}0.0134/ms$ and $0.0297{\pm}0.0069/ms$ for the normal glandular tissue and fat, respectively. Conclusion: $T_2{^*}$ and $R_2{^*}$ values were measured from human breast tissues. $T_2{^*}$ of the normal glandular tissue was shorter than that of fat. Measurement of $T_2{^*}$ relaxation time could be important to understand susceptibility effects in the breast cancer and the normal tissue.

목적: $T_2{^*}$이완시간은 조직의 고유한 특징을 반영하는 자화율 정보를 내재하고 있다. 본 연구는 3테슬러 자기공명영상 기기에서 유방의 정상 유선조직과 지방조직의 $T_2{^*}$이완시간을 알아보고자 하였다. 대상과 방법: 52명의 여자환자에서 (나이, $49{\pm}12 $세; 범위, 25세~75세) 삼차원 경사에코연쇄를 이용하여 각 일곱 개 에코 자기공명영상들을 얻었다. 에코시간은 3.91 ms단계에서 2.28 ms에서 25.72 ms사이 범위였다. 화적소를 기초로 $T_2{^*}$이완시간과 $R_2{^*}$이완율 지도는 각 개체에서 선형곡선맞춤을 이용하여 계산되었다. $T_2{^*}$값과 $R_2{^*}$값을 얻기 위하여 유방의 정상 유선조직과 지방조직에 삼차원 관심영역을 표시하였다. 모든 개체에서 이러한 변수들의 평균치를 계산하였다. 결과: 유방의 정상 유선조직과 지방조직에 삼차원 관심영역 크기는 각각 $4818{\pm}4679$ 화적소와 $1455{\pm}785$ 화적소 였다. 평균 $T_2{^*}$ 값은 유방의 정상 유선조직과 지방조직에서 각각, $22.40{\pm}5.61ms$$36.36{\pm}8.77ms$였다. 평균 $R_2{^*}$값은 유방의 정상 유선조직과 지방조직에서 각각, $0.0524{\pm}0.0134/ms$$0.0297{\pm}0.0069/ms$ 였다. 결론: 유방의 정상 유선조직과 지방조직에서 $T_2{^*}$값과 $R_2{^*}$값을 측정하였다. 유방의 정상 유선조직의 $T_2{^*}$값은 지방조직의 $T_2{^*}$값보다 짧게 나타났다. $T_2{^*}$이완시간의 측정은 유방암과 정상 유방조직에서의 자화율 효과를 이해하는데 도움을 줄 것이다.

Keywords

References

  1. Cheng HL, Stikov N, Ghugre NR, Wright GA. Practical medical applications of quantitative MR relaxometry. J Magn Reson Imaging 2012;36:805-824 https://doi.org/10.1002/jmri.23718
  2. Carneiro AAO, Vilela GR, de Araujo DB, Baffa O. MRI relaxometry: methods and applications. Brazilian Journal of Physics 2006;36:9-15
  3. Chavhan GB, Babyn PS, Thomas B, Shroff MM, Haacke EM. Principles, techniques, and applications of T2*-based MR imaging and its special applications. Radiographics 2009;29: 1433-1449 https://doi.org/10.1148/rg.295095034
  4. Rakow-Penner R, Daniel B, Yu H, Sawyer-Glover A, Glover GH. Relaxation times of breast tissue at 1.5T and 3T measured using IDEAL. J Magn Reson Imaging 2006;23:87-91 https://doi.org/10.1002/jmri.20469
  5. Edden RA, Smith SA, Barker PB. Longitudinal and multi-echo transverse relaxation times of normal breast tissue at 3 Tesla. J Magn Reson Imaging 2010;32:982-987 https://doi.org/10.1002/jmri.22306
  6. Christen T, Bolar DS, Zaharchuk G. Imaging brain oxygenation with MRI using blood oxygenation approaches: methods, validation, and clinical applications. AJNR Am J Neuroradiol 2013; 34:1113-1123 https://doi.org/10.3174/ajnr.A3070
  7. Tsushima Y, Endo K. Hypointensities in the brain on T2*- weighted gradient-echo magnetic resonance imaging. Curr Probl Diagn Radiol 2006;35:140-150 https://doi.org/10.1067/j.cpradiol.2006.04.002
  8. Uludag K, Dubowitz DJ, Buxton RB. Basic principles of functional MRI. In: Edelman RR, Hesselink JR, Zlatkin MB, Crues JV, eds. Clinical magnetic resonance imaging. 3rd ed. Philadelphia, Pa: Saunders Elsevier, 2006;249-287
  9. Hendrick RE. Image contrast and noise. In: Stark DD, Bradley WG, eds. Magnetic resonance imaging. 3rd ed. St Louis, Mo: Mosby, 1999;43-68
  10. Haacke EM, Tkach JA, Parrish TB. Reduction of T2* dephasing in gradient field-echo imaging. Radiology 1989;170:457-462 https://doi.org/10.1148/radiology.170.2.2911669
  11. Frahm J, Haenicke W. Rapid scan techniques. In: Stark DD, Bradley WG, eds. Magnetic resonance imaging. 3rd ed. St Louis, Mo: Mosby, 1999;87-124
  12. Busk M, Horsman MR. Relevance of hypoxia in radiation oncology: pathophysiology, tumor biology and implications for treatment. Q J Nucl Med Mol Imaging 2013;57:219-234

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