东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (10): 1512-1516.DOI: -

• 生物工程 • 上一篇    下一篇

基于肺部动态增强MR影像的药物动力学定量分析

钟毅1，李智勇2，胡伽尼3，康雁1,4   

  1. (1.东北大学中荷生物医学与信息工程学院，辽宁沈阳110819；2.大连医科大学第一临床学院，辽宁大连 116011；3.韦恩州立大学医学院，美国底特律48202；4.东北大学教育部医学影像计算重点实验室，辽宁沈阳110819)
  • 收稿日期:2012-12-25 修回日期:2012-12-25 出版日期:2013-10-15 发布日期:2013-05-24
  • 通讯作者: 钟毅
  • 作者简介:钟毅(1980-)，男，辽宁沈阳人，东北大学博士研究生；康雁(1964-)，男，辽宁沈阳人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(61071213).

Quantitative Analysis of Pharmacokinetic Parameters Using Clinical Lung Dynamic ContrastEnhanced MR Image

ZHONG Yi1， LI Zhiyong2， HU Jiani3， KANG Yan1,4   

  1. 1. School of SinoDutch Biomedical & Information Engineering， Northeastern University， Shenyang 110819， China; 2. First Affiliated Hospital， Dalian Medical University， Dalian 116011， China; 3. Medical School， Wayne State University， Detroit 48202， United States; 4. Key Laboratory of Medical Image Computing， Ministry of Education， Northeastern University， Shenyang 110819， China.
  • Received:2012-12-25 Revised:2012-12-25 Online:2013-10-15 Published:2013-05-24
  • Contact: KANG Yan
  • About author:-
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摘要： 针对临床肺部对比剂动态增强磁共振成像(DCE-MRI)数据，提出一种新的药物动力学参数定量分析FCM-BRR方法.该方法基于参考区域模型(referenceregion，RR)，结合模糊C均值聚类(fuzzyC-mean，FCM)和B-样条(B-Spline)曲线拟合技术，解决了传统模型针对具有复杂血供系统的局限性，并且降低了噪声对结果的影响.利用FCM-BRR方法分析了5位病理证实的肺癌患者的临床DCE-MRI数据，检验了该方法的有效性和可行性.FCM-BRR方法给出的Ktrans参数图像反映了肿瘤组织和正常组织的异质性，并通过统计分析知正常组织和肿瘤组织之间具有显著差异(P<001).FCM-BRR方法能够直接利用常规临床数据定量分析病灶区域的药物动力学参数，在治疗评估肺部恶性肿瘤上具有参考意义.

关键词: 肺部DCE-MRI, 参考区域模型, 药物代谢动力学参数, 肺癌, FCM

Abstract: Based on the dynamic contrastenhanced MRI (DCEMRI) data routinely acquired from a clinical lung， a new method called FCMB RR was proposed for quantitative analysis. This method was based on the reference region model (RR)， and combined with fuzzy Cmean (FCM) and BSpline curve fitting techniques. The proposed FCMB RR method not only solved the limitation of complex blood supply system， but also reduced the effect of noise on the quantitative analysis result. 5 patients with pathologically proven lung cancer were examined using the proposed FCMB RR method to demonstrate the feasibility and effectiveness. A significant difference (P<001) in Ktransbetween tumor tissue and normal tissue was found. It could be concluded that the proposed FCMB RR method could be used for quantitative analysis of typical clinical lung DCEMRI data， and the Ktrans information has reference value for treatment and assesses the lung cancer.

Key words: lung DCEMRI, reference region model, pharmacokinetic parameters, lung cancer, FCM

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