期刊文献+

正常剂量扫描导引的低剂量心血管CT造影图像恢复 被引量:1

Low-dose CT angiography image restoration using normal dose scan-induced non-local means algorithm
下载PDF
导出
摘要 目的探讨如何在保证诊断用心血管CT造影(CTA)图像质量的前提下降低X射线辐射剂量的最佳方法。方法本文利用先前正常剂量扫描导引的非局部平均(ndiNLM)方法,结合先前正常剂量扫描的心血管CTA高质量图像,对当前低剂量扫描的心血管CTA图像进行恢复。结果仿真和临床心血管CTA数据实验表明,同传统非局部平均方法(NLM)相比,ndiNLM方法在抑制CTA图像噪声与伪影的同时,还可以实现心血管增强结构信息的优质保持。结论 ndiNLM方法可为CTA成像中的辐射剂量降低提供有力的方法学支撑。 Objective To minimize of the radiation dose of cardiovascular CT angiography (CTA) imaging while preserving the image quality. Methods To reduce the radiation dose in CTA imaging, the normal-dose scan induced non-local means (ndiNLM) algorithm was adapted for low-mAs scanned CTA image restoration by using the previous scanned high-quality image. Results Qualitative and quantitative evaluations were carried out on both simulated phantom and clinical CTA scans in terms of accuracy and resolution properties. Compared to the original NLM algorithm, the ndiNLM method could achieve noticeable gains in terms of noise-induced artifacts suppression and enhanced structure preservation. Conclusion The ndiNLM algorithm is a potential useful technique to reduce the radiation dose in CTA imaging.
出处 《南方医科大学学报》 CAS CSCD 北大核心 2013年第9期1299-1303,共5页 Journal of Southern Medical University
基金 国家自然科学基金(81101046 81000613 81371544) 国家973重点基础研究发展计划(2010CB732503) 国家科技支撑计划项目(2011BAI12B03)~~
关键词 心血管CT造影 低剂量 正常剂量扫描 正常剂量扫描导引的非局部平均滤波 图像恢复 cardiovascular CT angiography low-dose normal-dose scan normal-dose scan induced non-local means image restoration
  • 相关文献

参考文献15

  • 1Roberts WT, Bax J J, Davies angiography: technology and LC. Cardiac CT and CT coronary application [J]. Heart, 2008, 94(6):781-92.
  • 2Hausleiter J, Meyer T, Hermann F, et al. Estimated radiation dose associated with cardiac CT angiography [J]. JAMA, 2009, 301(5): 500-7.
  • 3Herzog C, Mulvihill DM, Nguyen SA, et al. Pediatric cardiovascular CT angiography: radiation dose reduction using automatic anatomictube current modulation[J]. AJR Am J Roentgenol, 2008, 190(5): 1232-40.
  • 4BischoffB, Hein F, Meyer T, et al. Impact of a reduced tube voltage on CT angiography and radiation dose [J]. J Am Coll Cardiol Img, 2008, 2(8): 940-6.
  • 5Wang J, Li T, Lu H, et al. Penalized weighted least-squares approach to sinogram noise reduction and image Reconstruction for low-dose X-ray computed tomography [J]. IEEE Trans Med Imaging, 2006, 25(10): 1272-83.
  • 6Ma J, Zhang H, Gao Y, et al. Iterative image Reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge- preserving prior[J]. Phys Med Biol, 2012, 57(22): 7519-42.
  • 7La Rivi6re PJ, Bian J, Vargas PA. Penalized-likelihood sonogram restoration for computed tomography[J]. IEEE Trans Med Imaging, 2006, 25(8): 1022-36.
  • 8Mendrik AM, Vonken EJ, Rutten A, et al. Noise reduction in computed tomography scans using 3-d anisotropic hybrid diffusion with continuous Switch [J]. IEEE Trans Med Imaging, 2009, 28 (10): 1585-94.
  • 9Kang D, Slomka P, Nakazato R, et al. Image denoising of low- radiation dose coronary CT angiography by an adaptive block- matching 3D algorithm [J]. Proc SPIE, 2013, doi: 10.1117/ 12.2006907.
  • 10Ma J, Huang J, Feng Q, et al. Low-dose computed tomography image restoration using previous normal-dose scan[J]. Med Phys, 2011, 38(10): 5713-31.

二级参考文献34

  • 1张红颖,张加万,孙济洲,杨甲东.基于层次B样条的医学图像弹性配准方法[J].天津大学学报,2007,40(1):35-40. 被引量:8
  • 2Brown LG. A survey of image registration techniques[J]. ACM Computing Survey, 1992,24 (4) :325 - 376.
  • 3B. Zitova, J. Flusser. Image registration methods: A survey [ J ]. Image and Vision Computing, 2003,21 ( 11 ) : 977 - 1000.
  • 4J B Antoine Maintz,M A Viergever. A survey of medical image registration [J].Medical Image Analysis, 1998,2 ( 1 ) : 1 - 36.
  • 5F Maes, A Collignon, Dirk Vandermeulen, et al. Multimodality image registration by maximization of mutual information [ J]. IEEE Trans on Medical Imaging, 1997, 16(2) : 189 - 198.
  • 6Peter Kovesi, Image features from phase congruency[J]. Journal of Computer Vision Research, 1999,1 (3) : 1 - 26.
  • 7Morrone, M. C, Owens, R. A. Feature detection from local energy[J]. Pattern Recognition Letters, 1987,6(5) :303 - 313
  • 8Peter Kovesi. Phase congruency detects comers and edges[A]. The Australian Pattern Recognition Society Conference [ C ]. Sydney, USA: IEEE, 2003.309 - 318.
  • 9Peter Kovesi. Phase preserving denoising of images [ A ]. The Auslralian Pattern Recognition Society Conference[C ]. Perth WA, USA: IEEE, 1999. 212 - 217.
  • 10Zheng Liu, Robert Laganie' re. Phase congruence measurement for image similarity assessment[J].Pattern Recognition Letters, 2007,28( 11 ) : 166 - 172.

共引文献21

同被引文献7

引证文献1

二级引证文献2

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