期刊文献+

分子影像学中图像分割技术方法研究

Development of Molecular Image Segmentation
下载PDF
导出
摘要 介绍了分子影像学中图像分割技术在分子影像学的结果分析、运动分析、三维可视化等后续操作以及图像引导手术、肿瘤放射治疗、治疗评估中重要的应用价值。对近年来用于分子影像学中图像分割的主要方法(Artificial Neural Networks、Snake等)、发展趋势、研究热点以及评估等问题进行了综述和讨论。 The application value of molecular image segmentation in molecular image technology is introduced especially in results analysis, motion analysis, 3D visualization, and other follow-up operation, and image guided surgery, oneology radiation therapy, therapeutic assessment. It gives an overview on molecular image segmentation of the main methods (Artificial Neural Networks, Snake, etc.), development trends, topics, the assessment of such issues and discussion. [Chinese Medical Equipment Journal,2008,29(11 ) :34-37]
机构地区 解放军第
出处 《医疗卫生装备》 CAS 2008年第11期34-37,共4页 Chinese Medical Equipment Journal
关键词 分子影像学 图像分割 分割算法 算法评价 molecular imaging image segmentation algorithm evaluation
  • 相关文献

参考文献3

二级参考文献37

  • 1刘健庄,栗文青.灰度图象的二维Otsu自动阈值分割法[J].自动化学报,1993,19(1):101-105. 被引量:356
  • 2王毅力,芦家娟,周岩梅,石宝友,王东升.沉积物颗粒表面分形特征的研究[J].环境科学学报,2005,25(4):457-463. 被引量:22
  • 3Wang, Y., Adali, T., Xuan, J.H., etal. Magnetic resonance image analysis by information theoretic criteria and stochasticsite models. IEEE Transactions on Information Technology in Biomedicine, 2001,5(2):150~158.
  • 4Choi, H.S., Haynor, D.R., Kim, Y. Partial volume tissue classification ofmultichannel magnetic resonance images -? a mixture model. IEEE Transactions on MedicalImaging, 1994,10(9):395~407.
  • 5Santago, P., Gage, H.D. Quantification of MR brain images by mixture density andpartial volume modeling. IEEE Transactions on Medical Imaging, 1993,12(9):566~574.
  • 6Wang, Y., Adali, T., Kung, S.Y., et al. Quantification and segmentation of braintissues from MR images. IEEE Transactions on Image Processing, 1998,7(8):1165~1181.
  • 7Zijdenbos, A.P., Dawant, B.M., Margolin, R.A., et al. Morphometric analysis ofwhite matter lesions in MR images: method and alidation. IEEE Transactions on ImageProcessing, 1994,13(9):716~724.
  • 8Li, S.Z. Markov random field modeling in image analysis. 2th ed., New York, BerlinHeidelberg: Springer-Verlag, 2000. 58~62.
  • 9Cline, H.E., Lorensen, W.E., Kikinis, R., et al. Three dimensional segmentation ofMR images of the head using probability and connectivity. Journal of Computer-AssistedTomography, 1990,14:1037~1045.
  • 10Liang, Z., MacFall, J.R., Harrington, D.P. Parameter estimation and tissuesegmentation from multispectral MR images. IEEE Transactions on Medical Imaging,1994,13(9):441~449.

共引文献21

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