多层螺旋CT胸部扫描技术与图像噪声及病变检出相关性研究
[Abstract]:Objective: To investigate the correlation between the changes of the parameters of the chest CT scan and the noise of different tissues and the law of the influence of the image quality. Methods: using the GE BrightSpeed16 layer CT machine, the tube voltage 120kV, the tube current 300mA, the pitch 0.938 are the standard, and the scanning parameters are changed each time, the other scanning parameters are constant, and the different tube voltage (80100120140kV), Tube current (80100120180240300mA) and pitch (0.562,0.938,1.375,1.75) scanning simulation of chest body model, measurement, recording different tissue noise values (CT standard deviation, SD), and statistical analysis. Results: different tube voltage group (80100120140kV) of lung tissue (80100120140kV) has no statistically significant difference (F=0.966, P > 0.05), but the chest wall The difference between the soft tissue, the para spinal soft tissue and the aortic noise 80kV group was statistically significant compared with the conventional tube voltage 120kV group. The differences in P < 0.05. lung tissue, the paravertebral soft tissue and the aortic noise different tube current group (80100120180240300mA) were statistically significant (F= 3.28 in the lung tissue, P < 0.05, F=11.89 of the paravertebral soft tissue, P < 0.05). The aorta was F=196.67, P < 0.05); the lung, the soft tissue of the chest wall, the soft tissue of the spinal column and the 80mA group of the aortic noise were significantly different from that of the conventional tube current 300mA group, P
0.05, there were significant differences in the noise between the 80mA group and the routine tube current 300mA group. There was no significant difference between the P < 0.05. lung, the chest wall soft tissue and the different pitch groups (0.562,0.938,1.35 and 1.75) of the para soft tissue (0.562,0.938,1.35 and 1.75) (P > 0.05; the chest wall soft tissue F=1.53, P > 0.05; F=2.27, P in the para spinal soft tissue. > 0.05) and there was a significant difference between the different spiral distance groups of the aorta (F=9.68, P < 0.05). Conclusion: the noise of different tissues increases gradually when the tube voltage, the tube current and the pitch are increased, but the increase of the noise of the lung tissue is not obvious, and the low dose scanning of the chest can reduce the change of the image noise of the lung tissue at the same time. Shoot dose.
Objective: to analyze the noise distribution characteristics of low dose chest CT images and optimize the low dose scanning parameters. Method results: using image spatial noise adding software to calculate the noise values of Chinese human simulated chest CT images (6 groups of different noise indices), and analyze the difference between the preset noise index and the simulated noise value. Noise addition software was used to add noise to the original images (GE Brightspeed16 row spiral CT) of 20 volunteers, to simulate the low dose chest images of 10,30,50,80100120150180 and 240mA9 groups, to record the noise values of each image, and to make statistical analysis of the simulated noise values of the different MS group. Results: there is no significant difference between the simulated noise value calculated by the image noise addition method and the presupposed noise index (P0.05). The noise value of the image in the low dose chest increases with the decrease of the tube current, and the noise decreases significantly when the tube current is at 10~50mA. The reduction of noise value at 80~300mA slows down the map between the.80mA group and the 120mA group. There is no statistical significance (P0.05). Conclusion: the image spatial noise adding software can be applied to the evaluation of low dose CT image noise in the chest. When the chest low dose CT examination is used, the use of the tube current can ensure that the image noise has no obvious change while reducing the radiation dose.
Objective: to measure the absorbable dose of different tissues and organs in the chest scan of multi-layer CT (multi-slice computertomography, MSCT), and to evaluate the detection rate of the pulmonary nodules by using the digitaltomosynthesis (digitaltomosynthesis, DTS) technique and the chest scanning of the thermoluminescentdosimeters (TLD). Method: DTS and MSCT were used to scan and store 45 mock nodules and TLD models of chest body, recorded and stored images, measured the absorption dose of the main tissues and organs of the chest and calculated the effective dose. 3 radiologists performed the film and recorded the location, size and density of the nodules. The exact probability of Fisher was used. The difference between DTS and MSCT scan on the detection rate of simulated nodules was compared with the X2 test. The comparison of the two methods of organ absorption was compared with the paired t test. Results: the detection rate of DTS and MSCT for pulmonary nodules was 66.7% (30/45) and 91.1% (41/45), and the difference was statistically significant (X2=8.073, P < 0.05), and the detection of -650HU glass nodules was detected. The rate was 93.3% and 73.3%, the difference was not statistically significant (P > 0.05); the detection rate of DTS for -800HU grinding glass nodules and the diameter less than 8mm grinding glass nodules was 5/15 (33.3%) and 2/12 (16.7%), MSCT detection rate was 12/15 (80%) and 8/12 (66.7%). Chest DTS examination of the main tissues and organs absorption dose was significantly lower than MSCT, the difference was statistically significant ( Lung t=19.69, P < 0.05; thoracic vertebra t=30.01, P < 0.05; heart t=16.33, P < 0.05; liver t=5.06, P < 0.05; breast t=9.43, P < 0.05; t=8.05 thyroid gland, P < 0.05). The detection rate of ground-glass nodules and ground-glass nodules less than 8 mm in diameter was low. The effective dose of DTS was lower than that of MSCT, which was about 8.41% of the radiation dose of MSCT.
【学位授予单位】:重庆医科大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:R816.4
【参考文献】
相关期刊论文 前10条
1 曾勇明;吴富荣;张志伟;罗天友;欧阳羽;林大全;刘志宏;;CR入射体表剂量与肺部病变检出相关性的实验研究[J];重庆医学;2009年02期
2 陈伟,李文政,唐友林;螺旋CT图像噪声的评价[J];放射学实践;2003年07期
3 胡荣慧,宋光义,韩丹,许立奇,张良,成友华;螺旋CT检测肺结节的低剂量优化选择及应用[J];放射学实践;2005年07期
4 赵丽琴;王克杨;贺文;胡志海;李辉;陈疆红;李娟;崔宝军;李志欣;;数字化断层融合技术对肺结节筛查应用的初步研究[J];放射学实践;2010年11期
5 李华锋;宋少娟;;医用X射线管电压与辐射剂量的关系探讨[J];中国辐射卫生;2010年02期
6 戴娅楠;于铁链;苏大同;曹会志;;增加噪声模拟低剂量胸部CT扫描的研究[J];天津医科大学学报;2010年02期
7 王巍,刘传亚,卢传友,秦维昌;数字合成X线体层成像原理与研究进展[J];医学影像学杂志;2005年07期
8 林大全;张纪淮;王星泉;代世同;席宁;刘勇;吴大可;李诗豪;;《中国模拟人》—非均匀组织等效辐照体模的研制[J];医学物理;1985年03期
9 余晓锷,林意群,杨金城,陈红文;不同螺距对螺旋CT图像噪声影响的实验研究[J];中国医学物理学杂志;1999年04期
10 刘景鑫,杨海山;螺旋CT图像噪声影响因素的实验分析[J];中华放射学杂志;2000年01期
相关硕士学位论文 前1条
1 彭刚;中国人仿真胸部体模检测多层螺旋CT扫描患者器官剂量的实验研究[D];重庆医科大学;2011年
本文编号:2163067
本文链接:https://www.wllwen.com/yixuelunwen/yundongyixue/2163067.html