Yada Nobuhiro, Onishi Hideo, Miyai Masahiro, Ozasa Kentarou, Katsube Takashi, Onoda Keiichi, Haramoto Masuo, Yamamoto Yasushi, Yamaguchi Shuhei, Kitagaki Hajime
Biological Systems Sciences Program, Graduate School of Comprehensive Scientific Research, Prefectural University of Hiroshima, Shoubara, Japan.
Department of Radiology, Shimane University Hospital, 89-1 Enya-Cho, Izumo, Shimane, 693-8501, Japan.
Radiol Phys Technol. 2017 Jun;10(2):240-248. doi: 10.1007/s12194-017-0391-8. Epub 2017 Feb 4.
We evaluated a novel normal database (NDB) generated using single photon emission computed tomography (SPECT) data obtained from healthy brains by using a SPECT/CT system, analyzed using a resolution recovery (RR) technique applied to the three-dimensional stereotactic surface projection (3D-SSP) technique. We used a three-dimensional ordered subset expectation maximization method (3D-OSEM) with applied scatter correction (SC), attenuation correction, and RR to reconstruct the data. We verified the accuracy of the novel NDB's values (Z, extent, and error scores), and compared the novel NDB to the 3D-SSP technique by using simulated misery perfusion-related patient data from a conventional NDB. In addition, Z, extent, and error scores at the precuneus, cuneus, and posterior cingulate were compared under different reconstruction conditions by using the patient data. In the simulation, Z scores decreased when using the novel NDB corrected using computed tomography-based attenuation correction (CTAC), SC, and RR. The extent scores of the posterior cingulate increased using the novel NDB, relative to the other NDBs. The error score with the novel NDB without RR decreased by 15% compared to that of the conventional NDB. Z scores generated from patient data decreased in the novel NDB with RR. The extent scores tended to decrease in the novel NDB with RR. The extent scores in the novel NDB with RR improved at the posterior cingulate, compared to the scores with the other NDBs. However, applying RR to the novel NDB conferred no advantage because the cut-off of the current Z score must be reconsidered when using the additive RR technique.
我们评估了一个新型正常数据库（NDB），该数据库使用单光子发射计算机断层扫描（SPECT）数据生成，这些数据通过SPECT/CT系统从健康大脑获取，并使用应用于三维立体定向表面投影（3D - SSP）技术的分辨率恢复（RR）技术进行分析。我们使用带有应用散射校正（SC）、衰减校正和RR的三维有序子集期望最大化方法（3D - OSEM）来重建数据。我们验证了新型NDB值（Z值、范围和误差分数）的准确性，并通过使用来自传统NDB的模拟与灌注相关的患者数据，将新型NDB与3D - SSP技术进行比较。此外，通过使用患者数据，比较了在不同重建条件下楔前叶、楔叶和后扣带回的Z值、范围和误差分数。在模拟中，当使用基于计算机断层扫描的衰减校正（CTAC）、SC和RR校正的新型NDB时，Z值分数降低。相对于其他NDB，使用新型NDB时后扣带回的范围分数增加。与传统NDB相比，未使用RR的新型NDB的误差分数降低了15%。在带有RR的新型NDB中，由患者数据生成的Z值分数降低。在带有RR的新型NDB中，范围分数往往会降低。与其他NDB的分数相比，在带有RR的新型NDB中，后扣带回的范围分数有所改善。然而，在新型NDB中应用RR没有优势，因为在使用加法RR技术时必须重新考虑当前Z值分数的截断值。
