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高分辨靶重建模式优化宝石CT成像
引用本文:陈麦林,李晓婷,孙应实. 高分辨靶重建模式优化宝石CT成像[J]. 中国介入影像与治疗学, 2018, 15(2): 104-107
作者姓名:陈麦林  李晓婷  孙应实
作者单位:北京大学肿瘤医院暨北京市肿瘤防治研究所医学影像科 恶性肿瘤发病机制及转化研究教育部重点实验室, 北京 100142,北京大学肿瘤医院暨北京市肿瘤防治研究所医学影像科 恶性肿瘤发病机制及转化研究教育部重点实验室, 北京 100142,北京大学肿瘤医院暨北京市肿瘤防治研究所医学影像科 恶性肿瘤发病机制及转化研究教育部重点实验室, 北京 100142
基金项目:北京市自然科学基金(7172049)。
摘    要:目的以体模实验为基础,观察高分辨靶重建模式优化宝石CT成像的价值。方法采用宝石CT不同的扫描野(SFOV;50cm vs 32cm)对Catphan 500体模分别进行高分辨和非高分辨模式扫描,并对原始数据以相同大小的显示野(25cm)进行STAND算法重建成像。根据不同成像方式,将所有图像分为SFOV 50cm+非高分辨组(A组)、SFOV50cm+高分辨组(B组)、SFOV 32cm+非高分辨组(C组)和SFOV 32cm+高分辨组(D组),测量并比较各组图像噪声、SNR、CNR、空间分辨率、密度分辨率及CT剂量指数(CTDI)。结果 4组噪声、SNR、CNR、空间分辨率、密度分辨率及CTDI差异均有统计学意义(P均0.05)。C组较A组噪声增加(P0.01);与A组比较,B组空间分辨率提高,D组CNR、SNR均降低(P均0.01),且噪声升高(P0.01)。结论选择高分辨靶重建模式,不增加图像噪声,并可保证对比噪声比和信噪比,提高空间分辨率。

关 键 词:体层摄影术,X线计算机  体模,显像术  高分辨
收稿时间:2017-07-02
修稿时间:2017-12-24

High resolution reconstruction for optimization of imaging quality of GE Discovery CT 750 HD
CHEN Mailin,LI Xiaoting and SUN Yingshi. High resolution reconstruction for optimization of imaging quality of GE Discovery CT 750 HD[J]. Chinese Journal of Interventional Imaging and Therapy, 2018, 15(2): 104-107
Authors:CHEN Mailin  LI Xiaoting  SUN Yingshi
Affiliation:Key Laboratory of Carcinogenesis and Translational Research[Ministry of Education], Department of Radiology, Peking University Cancer Hospital & Institute, Beijing 100142, China,Key Laboratory of Carcinogenesis and Translational Research[Ministry of Education], Department of Radiology, Peking University Cancer Hospital & Institute, Beijing 100142, China and Key Laboratory of Carcinogenesis and Translational Research[Ministry of Education], Department of Radiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
Abstract:Objective To explore the value of high resolution reconstruction for optimization of imaging quality of GE Discovery CT 750 HD based on phantom pilot.Methods CT scanning with large (50 cm) and small (32 cm) scanning field of view (SFOV) was performed for a Catphan 500 phantom with or without high resolution on GE Discovery CT 750 HD. All raw data acquired by volumetric CT scan were reconstructed as the same size of a small DFOV (25 cm) with STAND algorithm. Then the images were divided into four groups, including large SFOV without high resolution (group A), large SFOV with high resolution (group B), small SFOV without high resolution (group C) and small SFOV with high resolution (group D). The spatial-resolution (SR), density-resolution (DR), noise (N), CNR, SNR and CT dose index volumes (CTDI) were measured and compared among 4 groups.Results The overall differences of SR, DR, N, CNR, SNR and CTDI were statistically significant among four groups (all P<0.05). Compared with group A, the average N increased in group C (P<0.01), SR increased in group B and the average CNR and SNR decreased in group D, while N increased in group D (all P<0.01).Conclusion Large SFOV combined with high resolution reconstruction may ensure CNR and SNR, and improve SR.
Keywords:Tomography,X-ray computed  Phantoms,imaging  High resolution
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