Mutual information based registration for ultrasound and CT datasets

被引:4
作者
Firle, EA [1 ]
Wesarg, S [1 ]
Dold, C [1 ]
机构
[1] Fraunhofer Inst Comp Graph, D-64283 Darmstadt, Germany
来源
MEDICAL IMAGING 2004: IMAGE PROCESSING, PTS 1-3 | 2004年 / 5370卷
关键词
registration; computed tomography; 3D ultrasound; mutual information; brachytherapy;
D O I
10.1117/12.534572
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
In many applications for minimal invasive surgery the acquisition of intra-operative medical images is helpful if not absolutely necessary. Especially for Brachytherapy imaging is critically important to the safe delivery of the therapy. Modern computed tomography (CT) and magnetic resonance (MR) scanners allow minimal invasive procedures to be performed under direct imaging guidance. However, conventional scanners do not have real-time imaging capability and are expensive technologies requiring a special facility. Ultrasound (U/S) is a much cheaper and one of the most flexible imaging modalities. It can be moved to the application room as required and the physician sees what is happening as it occurs. Nevertheless it may be easier to interpret these 3D intra-operative U/S images if they are used in combination with less noisier preoperative data such as CT. The purpose of our current investigation is to develop a registration tool for automatically combining pre-operative CT volumes with intra-operatively acquired 3D U/S datasets. The applied alignment procedure is based on the information theoretic approach of maximizing the mutual information of two arbitrary datasets from different modalities. Since the CT datasets include a much bigger field of view we introduced a bounding box to narrow down the region of interest within the CT dataset. We conducted a phantom experiment using a CIRS Model 53 U/S Prostate Training Phantom to evaluate the feasibility and accuracy of the proposed method.
引用
收藏
页码:1130 / 1138
页数:9
相关论文
共 11 条
[1]  
COLLIGNON A, 1995, LECT NOTES COMPUTER, V905, P195
[2]  
FIRLE E, 2003, MED IMAGING 2003 IMA
[3]  
Firle EA, 2002, CARS 2002: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS, P527
[4]   Multimodality image registration by maximization of mutual information [J].
Maes, F ;
Collignon, A ;
Vandermeulen, D ;
Marchal, G ;
Suetens, P .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1997, 16 (02) :187-198
[5]  
Pluim Josien P. W., 2003, IEEE T MED IMAGING
[6]   Rigid registration of 3-D ultrasound with MR images: A new approach combining intensity and gradient information [J].
Roche, A ;
Pennec, X ;
Malandain, G ;
Ayache, N .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2001, 20 (10) :1038-1049
[7]  
SCHNAIDER M, 2003, P 11 ANN MED MEETS V
[8]  
SCHWALD B, 2002, ISMAR 02 DARMST GERM
[9]   Alignment by maximization of mutual information [J].
Viola, P ;
Wells, WM .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 1997, 24 (02) :137-154
[10]  
WESARG S, 2004, P SPIE MED IMAGING