最佳对比噪声比后处理技术在能谱CT血管成像中的应用价值

发布时间：2019-05-17 09:38

【摘要】：一、下肢动脉病变能谱CTA图像后处理中最佳单能量图像的选择目的：探讨利用最佳对比噪声比选择一个最理想的keV单能量图像对提高下肢动脉CTA图像质量的应用价值。方法：收集我院2010年5月至2012年7月,临床拟诊为下肢动脉病变的患者96例,其中男性44例,女性52例,狭窄程度1级13例、2级12例、3级29例、4级26例、5级16例。采用GE Discovaery750宝石能谱CT,扫描范围从脐下至足底,所有病例均经DSA确诊。图像后处理采用仪器自备ADW4.4以及GSI-view软件进行重建,在单能量横断面图像上测量最佳CNR。根据Ota等对下肢动脉的分段方法,分别在QC图像、系统默认keV以及利用最佳CNR所得到的keV单能量图像上,测量各节段的对比度和噪声值,并请另外2位副主任及以上长期从事血管影像工作的放射科医师,分别对利用最佳CNR所获得的单能量图像、QC图像以及系统默认选择的单能量图像的图像质量进行评分,以评估利用最佳CNR进行后处理的价值。采用Stata10.0软件进行统计学处理,P0.05表明差异具有统计学意义。结果：利用最佳CNR得到的keV平均值为(51.5±7.3)keV。96例患者下肢动脉共计864段,利用最佳CNR得到的单能量的图像得分均明显高于系统默认keV单能量图像和QC图像,系统默认keV图像的图像得分高于QC图像,结果具有统计学意义(P0.05)。与其他2种方法比较,利用最佳CNR所得到的各节段keV单能量图像的对比度及噪声也均高于其他2种方法。结论：利用最佳CNR技术选取一个最佳的keV单能量图像,可使下肢动脉和其周围组织获得最佳的对比度,使下肢动脉显示得更加清晰,从而使下肢动脉CTA的图像质量大大增强。二、肝脏动脉CTA图像后处理中最佳单能量的选择目的：探讨利用最佳CNR后处理技术选择一个最理想的keV单能量图像对提高肝脏动脉CTA图像质量的应用价值。方法：收集我院2011年10月至2012年10月,临床拟诊为肝脏恶性肿瘤的患者96例,其中男性62例,女性34例。采用GE Discovaery750概念500排宝石HDCT,扫描范围从右侧膈顶至双肾,所有病例均经DSA确诊。图像后处理采用仪器自备ADW4.4以及GSI-view软件进行重建,在单能量横断面图像上测量最佳CNR并从101个单能量序列中挑出满足最佳CNR的单能量序列。分别在QC图像、系统默认keV以及利用最佳CNR所得到的keV单能量图像上,测量肝固有动脉和肝右动脉的对比度和噪声值,并请另外2位副主任及以上长期从事腹部及血管影像工作的放射科医师,分别对利用最佳CNR所获得的单能量图像、QC图像以及系统默认选择的单能量图像的横断面图像以及MPR和VR图像的质量进行评分,以评估利用最佳CNR进行后处理的价值。采用Stata10.0软件进行统计学处理。P0.05表明差异具有统计学意义。结果：利用最佳CNR所得到的keV单能量图像的得分明显高于其他2种方法所得到的图像,系统默认keV图像的得分高于QC图像的得分,结果具有统计学意义(P0.05)。与其他2种方法比较,利用最佳CNR所得到的keV单能量图像中,肝动脉的对比度均高于其他2种方法。利用最佳CNR所得到的KeV单能量图像的噪声也比其他2种方法高(P0.05)。结论：利用最佳CNR技术选取一个最佳的keV单能量图像,使肝动脉和其周围组织获得最佳的对比度,使肝脏动脉显示得更加清晰,从而使肝脏动脉CTA的图像质量大大增强。
[Abstract]:The choice of optimal single-energy image in post-treatment of low-limb arterial disease Objective: To study the application price of the optimal contrast-to-noise ratio for improving the image quality of the lower limb artery CTA image. Methods:96 patients with lower extremity arterial disease from May 2010 to July 2012 were collected, including 44 male,52 female,13 in grade 1,12 in grade 2,29 in grade 3,26 in grade 4 and 5 in grade 5. 16 cases. The scan range from the umbilicus to the sole of the foot was measured with the GE Discover 750 gem energy spectrum CT, all of which were DS A. The image post-treatment is reconstructed with the instrument-provided ADW3.4 and the GSI-view software, and the best measurement is performed on the single-energy cross-section image CNR. The contrast and noise values of each segment are measured on the QC image, the system default keV, and the keV single-energy image obtained with the optimal CNR, respectively, according to the segmentation method of the lower limb artery, such as Ota, and the other two deputy directors and the above-mentioned long-term radiation of the blood vessel image are requested. The cardiologist scores the image quality of the single-energy image, the QC image, and the system default selected single-energy image obtained with the best CNR, respectively, to evaluate the post-processing with the best CNR The value of the software was statistically treated with the Stata10.0 software, and the difference between the two groups was statistically significant (P <0.05). The results showed that the mean value of keV obtained by the optimal CNR was (51.5-7.3) keV. In the total of 864 cases, the image scores of single-energy obtained by the optimal CNR were significantly higher than the system's default keV single-energy image and the QC image, and the image score of the system's default keV image was high. For QC images, the results were statistically significant (P 0.05) Compared with the other two methods, the contrast and noise of the single-energy image of each segment of the energy obtained by using the optimal CNR are also higher than the contrast and the noise of the single-energy image of each segment obtained by the optimal CNR. Conclusion: The best contrast of the lower limb artery and the surrounding tissues can be obtained by using the optimal CNR technique, so that the lower limb arteries can be displayed more clearly, so that the lower limb artery CTA can be obtained. The image quality is greatly enhanced. The posterior position of the CTA image of the hepatic artery Objective: To study the choice of optimal single energy in the treatment of hepatic artery C by using the optimal CNR post-treatment technique to select one of the most desirable single-energy images of keV. Application value of TA image quality. Methods:96 patients with malignant tumor of the liver were collected from October,2011 to October,2012. Of these,62 were male,34 were female, and 500 rows of gemstones HDCT were used with the concept of GE Discover 750. The scan range was from the right phrenic top to the double. The kidney and all the cases were diagnosed by DSA. The image post-treatment was reconstructed using the instrument-supplied ADW3.4 and the GSI-view software, and the optimal CNR was measured on the single-energy cross-sectional image and picked out from 101 single-energy sequences. The single-energy sequence of the optimal CNR is met. The contrast and noise values of the hepatic and right arteries are measured on the QC image, the system default keV, and the keV single-energy image obtained with the optimal CNR, and the other two deputy directors and the above-mentioned long-term abdomen are requested. and scoring the cross-sectional images of the single-energy image, the QC image and the system default-selected single-energy image and the quality of the MPR and the VR images by using the single-energy image, the QC image and the system default selected by the optimal CNR, so as to evaluate and utilize the single-energy image, the QC image and the system default-selected single-energy image, The value of post-treatment with the best CNR. Stata is used 10.0 Statistical processing of the software. P0. Results: The results showed that the score of keV single-energy image obtained by the best CNR was significantly higher than that of the other two methods, and the score of the system's default keV image was higher than that of the QC image, and the result was that the score of the system's default keV image was higher than that of the QC image. The results were statistically significant (P0.05). In comparison with the other two methods, the liver of the one-energy image obtained by the best CNR The contrast of the artery is higher than the other two methods. The noise of the KeV single-energy image obtained with the best CNR also Conclusion: The best contrast between the hepatic artery and its surrounding tissues is obtained by using the optimal CNR technique to make the best contrast between the hepatic artery and its surrounding tissues, so that the hepatic artery can be displayed more clearly.
【学位授予单位】：复旦大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：R543.5;R816.2

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