Turkington T G, Jaszczak R J, Pelizzari C A, Harris C C, MacFall J R, Hoffman J M, Coleman R E
Department of Radiology, Duke University Medical Center, Durham, NC 27710.
J Nucl Med. 1993 Sep;34(9):1587-94.
Accuracy of a surface-fitting algorithm for three-dimensional image registration of single photon emission computed tomography (SPECT), positron emission tomography (PET), and magnetic resonance (MR) images was tested using a three-dimensional, water-fillable brain phantom. Multislice or volume image sets were acquired for each modality. Small fiducial markers were attached to assess accuracy of surface fitting and provide an alternate fitting technique. A maximum gradient technique was found to work well for SPECT and PET edge detection. Transformation parameters for translation, rotation and scaling were determined by surface fit to match each SPECT and PET scan with MR images. Using the markers, overall translation errors were found to be < 2 mm in each direction and rotational errors < 2 degrees in every case. Errors for specific internal regions were also determined to be < 2 mm for most regions, with only a few fits resulting in errors > 3 mm for some cortical regions. Results indicate surface fitting to be sufficiently accurate for visual comparison of registered images and for enhanced SPECT and PET region of interest (ROI) determination and image reconstruction.
使用三维可充水脑模型测试了一种用于单光子发射计算机断层扫描（SPECT）、正电子发射断层扫描（PET）和磁共振（MR）图像三维图像配准的表面拟合算法的准确性。为每种模态采集了多层或容积图像集。附着了小型基准标记以评估表面拟合的准确性并提供另一种拟合技术。发现一种最大梯度技术对SPECT和PET边缘检测效果良好。通过表面拟合确定平移、旋转和缩放的变换参数，以使每个SPECT和PET扫描与MR图像匹配。使用这些标记，发现每个方向上的总体平移误差<2毫米，每种情况下的旋转误差<2度。大多数区域特定内部区域的误差也确定<2毫米，只有少数拟合导致某些皮质区域的误差>3毫米。结果表明，表面拟合对于配准图像的视觉比较以及增强SPECT和PET感兴趣区域（ROI）的确定和图像重建足够准确。
