期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于两种格式CT图像的颅骨几何特征测量与对比分析 被引量：1

Measurement and Comparative Analysis of Geometric Characteristics of Alive Human Skull Based on CT Images in Two Formats
下载PDF
导出
摘要 针对JPEG和DICOM两种格式活体人头颅的CT图像,采用自编Matlab程序对前额骨、顶骨和枕骨厚度以及头宽、头长、头围和颅围等颅骨几何特征进行大批量精确测量.对测量结果进行的正态性检验表明:颅骨几何特征不服从正态分布;Kruskal-Wallis单因素方差分析的结果表明:不同格式CT图像对前额骨、顶骨和枕骨厚度有显著影响,对头宽、头长、头围和颅围无显著影响. The geometric characteristics of the alive human skull（the thickness of the frontal,parietal and occipital bones,head width,head length,head circumference and skull circumference） were measured accurately by self-compiled Matlab program in this study.The results of the normality test show that the measurement results do not obey normal distribution;Kruskal-Wallis one-way ANOVA analysis show that CT images of different formats have a significant effect on the thickness of the frontal,parietal and occipital bones,and have no significant effects on the other geometric characteristics.
作者 谢中华 李海岩 阮世捷
机构地区 天津科技大学理学院 天津科技大学生物力学与车辆安全工程中心
出处 《小型微型计算机系统》 CSCD 北大核心 2011年第5期968-971,共4页 Journal of Chinese Computer Systems
基金 天津市应用基础及前沿技术研究计划重点项目(08JCZDJC15000)资助
关键词 颅骨 CT图像 测量 MATLAB DICOM human skull CT image measurement matlab DICOM
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献5

二级参考文献20

  • 1吕庆文,李树祥.CT图像中大脑边界的提取与跟踪及其算法实现[J].北京生物医学工程,1995,14(2):111-113. 被引量：6
  • 2徐萃薇 孙绳武.计算方法引论[M].北京：高等教育出版社,2002..
  • 3Gerald Recktenwald．数值方法和MATLAB实现与应用[M]．北京：机械工业出版社，2004..
  • 4TANG H,WUA E X.MRI brain image segmentation by multi-resolution edge detection and region selection[J].Computerized Medical Imaging and Graphics,2000,24:349-357.
  • 5Tang H,Wua EX.MRI brain image segmentation by multi-resolution edge detection and region selection.Computerized Medical Imaging and Graphics,20002;4:349
  • 6Cotton F,Vallee B.Cranial sutures and craniometric points detected on MRI.Surg Radiol Anat,2005;27:64
  • 7Nagashimal M,Inouel K.Three-dimensional imaging and osteometry of adult human skulls using helicalcomputed tomography.Radiologic anatomy,1998;20:291
  • 8Ruan Jesse, Prasad P. The effects of skull thickness variations on human head dynamic impact responses [ A ]. In : Proc. 45th Stapp Car Crash Conf, 2001[C]. USA: SAE, 2001. Paper No. 01S- 03.
  • 9Hakim S, Watkin KL, Elahi MM, et al. Measurement of cranial bone thickness using A-mode ultrasound [ A ]. In: 19th International Conference IEEE/EMBS [ C ]. Chicago, USA: IEEE, 1997. 613- 616.
  • 10Hertel G, Hirschfelder H. In vivo and in vitro CT analysis of the occipital [J] . Eur Spine J, 1999, 8: 27- 33.

共引文献140

同被引文献8

  • 1Nagarajan MB, Coan P, Huber MB, eta[. Computer-aided diag nosis for phase-contrast X-ray computed tomography: Quantita tive characterization of human patellar cartilage with high-dimen sional geometric features. J Digit Imaging, 2014,27(1):98-107.
  • 2Mehl J, Matthias JF, Bode G, et al. Association between patellar cartilage defects and patellofemoral geometry: A matched-pair MRI comparison o{ patients with and without isolated patellar car- tilage defects. [-2015-03-011. http://link, springer, eom/article/ 10. 1007/s00167-014-3385-7/fulltext. html.
  • 3Cachier P, Mangin JF, Pennec X, et al. Multisubject non-rigid registration of brain MRI using intensity and geometric features // Niessen WJ, Viergever MA. MICCAI 2001. IANCS. Springer, Heidelber: 2001. 2015-03-01. tttp://link, springer, corn/chap ter/10. 1007/3 540 45468-3_88#.
  • 4Zhao QY, Pizer S, Niethammer M, et al. Geometric-fealure- based spectral graph matching in pharyngeal surface registration. Med Image Comput Comput Assist Interv, 2014, 17 (Pt 1): 259-266.
  • 5Gupta A, Verma HK, Gupta S. A hybrid framework/or registra- tion of carotid ultrasound images combining iconic and geometric features. Med Biol Eng Comput, 2013,51 (9) : 1043 1050.
  • 6Rusk6 L, Perfinyi A. Automated liver lesion detection in CT ima- ges based on multi level geometric features. Int J Comput Assist Radiol Surg, 2014,9(4):577 593.
  • 7Cben X, Zbeng YP, Guo JY, et al. Sonomyographic responses during voluntary isometric ramp contraction of the human rectus femoris muscle. EurJ ApplPhysiol, 2012,112(7) :2603 2614.
  • 8Potocknik B, Cigale B, Zazula D. Computerized detection and recognition of follicles in ovarian ultrasound images: A review. Med Biol Eng Comput, 2012,50(12):1201 1212.

引证文献1

二级引证文献10

小型微型计算机系统
2011年 第5期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部