Integration of functional and morphological MR data for preoperative 3D visualisation of tumours: Cervical carcinoma

被引:2
作者
Evers, H
Hawighorst, H
van Kaick, G
Knapstein, PG
Meinzer, HP
机构
[1] Deutsch Krebsforschungszentrum, Abt Med & Biol Informat 0100, D-69120 Heidelberg, Germany
[2] Deutsch Krebsforschungszentrum, Abt Onkol Diagnost & Therapie, D-69120 Heidelberg, Germany
[3] Johannes Gutenberg Univ Mainz, Frauenklin, Geburtshilfe & Gynakol Abt, D-6500 Mainz, Germany
来源
RADIOLOGE | 1998年 / 38卷 / 10期
关键词
functional MR diagnosis; adaptive filtering; segmentation; volume visualisation;
D O I
10.1007/s001170050432
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: The goa I of this exemplary study was to integrate morphological and functional MRI to establish computer-based, preoperative therapy planning for tumors, instancing cervical carcinoma. Methods: For morphological representation T1-weighted, filtered 3D sequences were investigated within a hierarchical segmentation approach. Using a method for image registration, segmented structures were combined and overlaid with functional information of contrast medium-en ha need, dynamic MRI. After assigning colour attributes to the segmented structures,they were presented using a method for direct volume visualisation. Results: Segmentation of organs and vessels as well as tissue differentiation yielded a morphological visualisation of anatomical structures that were overlaid with pharmacokinetic parameters derived from dynamic MRI, subsequently. Thereby, three-dimensional, arbitrary views on the functional data were displayed. Conclusions: Image analysis and visualisation of the acquired MR data establishes both a morphologic and functional evaluation of suspect lesions and adjacent organs. By integrating morphologic and functional MRI additional information can be gathered that possibly impinge on preoperative planning.
引用
收藏
页码:841 / 847
页数:7
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