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Feasibility of similarity coefficient map for improving morphological evaluation of T2* weighted MRI for renal cancer

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【作者】 王浩宇； Hu Jiani； 谢耀钦； 陈杰； Yu Amy； 魏新华； 戴勇鸣； Li Meng； 包尚联； E.M.Haacke；

【Author】 Wang Hao-Yu a),Hu Jiani b),Xie Yao-Qin c),Chen Jie d),Yu Amy e),Wei Xin-Hua f),Dai Yong-Ming g),Li Meng b),Bao Shang-Lian a),and E.M.Haacke b) a) Beijing Key Laboratory of Medical Physics and Engineering,Peking University,Beijing 100871,China b) Department of Radiology,Wayne State University,Detroit 48201,USA c) Chinese Academy of Sciences,Key Laboratory of Health Information,Institute of Advanced Technology,Shenzhen 518055,China d) Changzhou First People’s Hospital,Changzhou 213003,China e) College of Literature Science and the Arts,University of Michigan,Ann Arbor,Michigan 48103,USA f) Department of Radiology,Guangzhou First Municipal People’s Hospital,Guangzhou 510180,China g) Siemens Healthcare China,MR Collaboration NE Asia,Shanghai 210318,China

【机构】 Beijing Key Laboratory of Medical Physics and Engineering,Peking University； Department of Radiology,Wayne State University,Detroit 48201,USA； Chinese Academy of Sciences,Key Laboratory of Health Information,Institute of Advanced Technology； Changzhou First People’s Hospital； Department of Radiology,Guangzhou First Municipal People’s Hospital； Siemens Healthcare China,MR Collaboration NE Asia；

【摘要】 The purpose of this paper is to investigate the feasibility of using a similarity coefficient map(SCM) in improving the morphological evaluation of T2* weighted(T2*W) magnatic resonance imaging(MRI) for renal cancer.Simulation studies and in vivo 12-echo T2*W experiments for renal cancers were performed for this purpose.The results of the first simulation study suggest that an SCM can reveal small structures which are hard to distinguish from the background tissue in T2*W images and the corresponding T2* map.The capability of improving the morphological evaluation is likely due to the improvement in the signal-to-noise ratio(SNR) and the carrier-to-noise ratio(CNR) by using the SCM technique.Compared with T2* W images,an SCM can improve the SNR by a factor ranging from 1.87 to 2.47.Compared with T2* maps,an SCM can improve the SNR by a factor ranging from 3.85 to 33.31.Compared with T2*W images,an SCM can improve the CNR by a factor ranging from 2.09 to 2.43.Compared with T2* maps,an SCM can improve the CNR by a factor ranging from 1.94 to 8.14.For a given noise level,the improvements of the SNR and the CNR depend mainly on the original SNRs and CNRs in T2*W images,respectively.In vivo experiments confirmed the results of the first simulation study.The results of the second simulation study suggest that more echoes are used to generate the SCM,and higher SNRs and CNRs can be achieved in SCMs.In conclusion,an SCM can provide improved morphological evaluation of T2*W MR images for renal cancer by unveiling fine structures which are ambiguous or invisible in the corresponding T2*W MR images and T2* maps.Furthermore,in practical applications,for a fixed total sampling time,one should increase the number of echoes as much as possible to achieve SCMs with better SNRs and CNRs.

【Abstract】 The purpose of this paper is to investigate the feasibility of using a similarity coefficient map(SCM) in improving the morphological evaluation of T2* weighted(T2*W) magnatic resonance imaging(MRI) for renal cancer.Simulation studies and in vivo 12-echo T2*W experiments for renal cancers were performed for this purpose.The results of the first simulation study suggest that an SCM can reveal small structures which are hard to distinguish from the background tissue in T2*W images and the corresponding T2* map.The capability of improving the morphological evaluation is likely due to the improvement in the signal-to-noise ratio(SNR) and the carrier-to-noise ratio(CNR) by using the SCM technique.Compared with T2* W images,an SCM can improve the SNR by a factor ranging from 1.87 to 2.47.Compared with T2* maps,an SCM can improve the SNR by a factor ranging from 3.85 to 33.31.Compared with T2*W images,an SCM can improve the CNR by a factor ranging from 2.09 to 2.43.Compared with T2* maps,an SCM can improve the CNR by a factor ranging from 1.94 to 8.14.For a given noise level,the improvements of the SNR and the CNR depend mainly on the original SNRs and CNRs in T2*W images,respectively.In vivo experiments confirmed the results of the first simulation study.The results of the second simulation study suggest that more echoes are used to generate the SCM,and higher SNRs and CNRs can be achieved in SCMs.In conclusion,an SCM can provide improved morphological evaluation of T2*W MR images for renal cancer by unveiling fine structures which are ambiguous or invisible in the corresponding T2*W MR images and T2* maps.Furthermore,in practical applications,for a fixed total sampling time,one should increase the number of echoes as much as possible to achieve SCMs with better SNRs and CNRs.

【关键词】 renal cancer； T2* weighted MRI； similarity coefficient map；
【Key words】 renal cancer； T2* weighted MRI； similarity coefficient map；
【基金】 Project supported by the National Basic Research Program of China (Grant No. 2011CB707701);the National Key Technology R&D Program of China(Grant Nos. 2011BAI12B05 and 2012BAI23B07)
  • 【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2013年03期
  • 【分类号】R737.11
  • 【被引频次】1
  • 【下载频次】59
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