Wahl R L, Quint L E, Cieslak R D, Aisen A M, Koeppe R A, Meyer C R
Department of Radiology, University of Michigan Medical Center, Ann Arbor 48109-0028.
J Nucl Med. 1993 Jul;34(7):1190-7.
Positron emission tomographic (PET) images of visceral cancers are commonly visualized as "hot spots" of increased activity with relatively little normal anatomy discernable, when 2-[18F]-fluoro-2-deoxy-D-glucose (FDG) is used as the tracer. We describe a method by which computed tomography or magnetic resonance anatomic images can be digitally fused in three dimensions, using a rigid rotate-translate scale model with PET "metabolic" images, to simultaneously display registered anatomic and metabolic information. Such "anatometabolic" fusion images were produced in 10 patients with a variety of visceral cancers. External fiducial markers placed during both the anatomic and the metabolic study, as well as internal anatomic fiducials defined from landmarks observed on reconstructed transmission images, were used to achieve image fusion. The mean error magnitude +/- s.e.m. of fiducial registration in the nine patients with successful realignments was 5.0 +/- 0.8 mm. The mean accuracy in realignment between known anatomic structures seen on both the anatomic study and on the emission PET scan (but not used in realignment) was 6.3 +/- 0.8 mm. Localization of foci of increased FDG uptake to specific anatomic structures was achieved by this method, which represented an enhancement over the rudimentary anatomy available from the emission images alone. Anatometabolic fusion images made using this reasonably simple method should prove useful in the management of patients with cancer and other diseases.
当使用2-[18F]-氟-2-脱氧-D-葡萄糖（FDG）作为示踪剂时，内脏癌的正电子发射断层扫描（PET）图像通常显示为活性增加的“热点”，正常解剖结构相对难以辨别。我们描述了一种方法，通过使用刚性旋转-平移比例模型将计算机断层扫描或磁共振解剖图像与PET“代谢”图像进行三维数字融合，以同时显示配准的解剖和代谢信息。对10例患有各种内脏癌的患者制作了这种“解剖代谢”融合图像。在解剖学和代谢学研究期间放置的外部基准标记，以及根据在重建的透射图像上观察到的标志定义的内部解剖基准，用于实现图像融合。在9例成功重新对齐的患者中，基准配准的平均误差幅度±标准误为5.0±0.8毫米。在解剖学研究和发射PET扫描上都能看到的已知解剖结构之间重新对齐的平均准确度（但未用于重新对齐）为6.3±0.8毫米。通过这种方法实现了将FDG摄取增加的病灶定位到特定的解剖结构，这比仅从发射图像获得的基本解剖结构有了改进。使用这种相当简单的方法制作的解剖代谢融合图像在癌症和其他疾病患者的管理中应会证明是有用的。
