van Herk M, de Munck J C, Lebesque J V, Muller S, Rasch C, Touw A
Radiotherapy Department, The Netherlands Cancer Institute/Antoni van Leeuwenhoek Huis, Amsterdam, The Netherlands.
Med Phys. 1998 Oct;25(10):2054-67. doi: 10.1118/1.598393.
The purpose of this study is to develop a method for registration of CT and MR scans of the pelvis with minimal user interaction and to obtain a means for objective quantification of the registration accuracy of clinical data without markers. CT scans were registered with proton density MR scans using chamfer matching on automatically segmented bone. A fixed threshold was used to segment CT, while morphological filters were used to segment MR. The method was tested with transverse and coronal MR scans of 18 patients and sagittal MR scans of 8 patients. The registration accuracy was estimated by comparing (triangulating) registrations of a single CT scan with MR in different orientations in a "full circle." For example, CT is first matched on transverse MR, next transverse MR is matched independently on coronal MR, and finally coronal MR is matched independently on CT. The product of the three transformations is the identity if all matching steps are perfect. Deviations from identity occur both due to random errors and due to some types of systematic errors. MR was registered on MR (to close the "circle") by minimization of rms voxel value differences. CT-MR registration takes about 1 min, including user interaction. The random error for CT-MR registration with transverse or coronal MR was 0.5 mm in translation and 0.4 degree in rotation (standard deviation) for each axis. A systematic registration error of about 1 mm was demonstrated along the MR frequency encoding direction, which is attributed to the chemical shift. In conclusion, the presented algorithm efficiently and accurately registers pelvic CT and MR scans on bone. The "full circle" method provides an estimate of the registration accuracy on clinical data.
本研究的目的是开发一种方法,以最少的用户交互实现骨盆CT和MR扫描的配准,并获得一种对无标记临床数据配准精度进行客观量化的手段。使用自动分割的骨组织上的倒角匹配,将CT扫描与质子密度MR扫描进行配准。使用固定阈值分割CT,同时使用形态学滤波器分割MR。该方法在18例患者的横断和冠状面MR扫描以及8例患者的矢状面MR扫描上进行了测试。通过在“全圆”中比较单个CT扫描与不同方向MR的配准(三角测量)来估计配准精度。例如,首先将CT与横断MR匹配,接着将横断MR独立地与冠状面MR匹配,最后将冠状面MR独立地与CT匹配。如果所有匹配步骤都完美,则这三个变换的乘积为恒等变换。与恒等变换的偏差既由于随机误差,也由于某些类型的系统误差。通过最小化均方根体素值差异,在MR上对MR进行配准(以闭合“圆”)。CT-MR配准包括用户交互大约需要1分钟。对于横断或冠状面MR的CT-MR配准,每个轴的平移随机误差为0.5毫米,旋转随机误差为0.4度(标准差)。在MR频率编码方向上显示出约1毫米的系统配准误差,这归因于化学位移。总之,所提出的算法高效且准确地对骨盆CT和MR扫描进行骨组织配准。“全圆”方法提供了对临床数据配准精度的估计。