Loghin Catalin, Sdringola Stefano, Gould K Lance
Department of Medicine, University of Texas Medical School, Memorial Hermann Hospital, Houston, Texas 77030, USA.
J Nucl Med. 2004 Jun;45(6):1029-39.
Misregistration between attenuation and emission images causes artifactual abnormalities on cardiac PET images that result in false-positive defects. This study determines the frequency and mechanisms of misregistration artifacts, identifies their predictors, and validates a method for their routine clinical identification, prevention, or correction.
We performed 1177 consecutive diagnostic myocardial perfusion PET studies using 1 of 3 protocols: (a). 3 initial consecutive measured attenuation correction (MAC) scans, followed by resting and dipyridamole emission scans; (b). an initial MAC scan (early MAC), followed by emission scans; and (c). a MAC attenuation scan obtained after emission scans (late MAC). Emission images were manually shifted to obtain coregistration with attenuation and reconstructed again using shifted emission data that eliminated artifactual defects. Measurements on PET images included heart size, heart and diaphragm displacement after dipyridamole, objective quantitative misregistration of attenuation and emission images, and size or severity of image defects before and after shifting emission images.
Of 1,177 rest-dipyridamole PET perfusion studies, 252 (21.4%) had artifactual defects due to attenuation-emission misregistration. By shifting emission images, quantitative severity and size of misregistration and artifactual defects significantly decreased (P < 0.001) with visual normalization. Artifactual defects were predicted by horizontal plane misregistration (odds ratio [OR] = 1.545, confidence intervals [CI] = 1.113-2.145, P = 0.009), body mass index (OR = 2.659, CI = 1.032-6.855, P = 0.043), and whole heart area in the horizontal plane at rest (OR = 1.096, CI = 1.018-1.179, P = 0.015). Quantitative misregistration was predicted by diaphragm displacement between rest and dipyridamole (P = 0.001, CI = 0.158-0.630), body mass index (P = 0.005, CI = 0.202-1.124), and whole heart area in the horizontal plane at rest (P = 0.004, CI = -0.144 to -0.028). Diaphragm displacement was significantly larger for obese compared with lean patients (P = 0.027) during the initial 10 min of the imaging protocol.
Misregistration of attenuation and emission images is common in cardiac PET imaging and causes artifactual defects predicted by diaphragmatic displacement, body mass index, and heart size. Multiattenuation imaging sequences and manual, visually optimized coregistration of attenuation and emission images substantially eliminate artifacts for reliably identifying mild perfusion defects of early nonobstructive coronary atherosclerosis as the basis for intense lifestyle and pharmacologic treatment.
衰减图像与发射图像之间的配准错误会导致心脏PET图像出现伪像异常,从而产生假阳性缺损。本研究确定了配准错误伪像的发生率和机制,识别了其预测因素,并验证了一种用于其常规临床识别、预防或校正的方法。
我们使用三种方案之一进行了1177例连续的诊断性心肌灌注PET研究:(a). 连续进行3次初始测量衰减校正(MAC)扫描,随后进行静息和双嘧达莫发射扫描;(b). 一次初始MAC扫描(早期MAC),随后进行发射扫描;(c). 在发射扫描后获得MAC衰减扫描(晚期MAC)。手动移动发射图像以使其与衰减图像配准,并使用消除伪像缺损的移动发射数据再次重建。PET图像上的测量包括心脏大小、双嘧达莫给药后心脏和膈肌的位移、衰减图像与发射图像的客观定量配准错误,以及移动发射图像前后图像缺损的大小或严重程度。
在1177例静息-双嘧达莫PET灌注研究中,252例(21.4%)因衰减-发射配准错误出现伪像缺损。通过移动发射图像,配准错误和伪像缺损的定量严重程度和大小在视觉归一化后显著降低(P < 0.001)。伪像缺损可通过水平面配准错误预测(比值比[OR]=1.545,置信区间[CI]=1.113 - 2.145,P = 0.009)、体重指数(OR = 2.659,CI = 1.032 - 6.855,P =