全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2015 

基于三维带限剪切波变换的磁共振图像融合

DOI: doi:10.7507/1001-5515.20150033

Keywords: 磁共振图像融合, 三维剪切波变换, 带限剪切波变换, 磁量图

Full-Text   Cite this paper   Add to My Lib

Abstract:

越来越多的医疗设备能采集人体不同特征数据并形成三维图像。在临床应用中, 通常需要将多幅含有不同重要信息的源图像融合到一幅图像中以辅助治疗。而传统的图像融合方法主要针对二维图像, 这些方法直接应用于三维数据会导致第三维信息的损失。本文结合近期出现的超小波变换——三维带限剪切波变换和四组传统融合准则, 提出新的三维磁共振图像融合方法。最后通过四组人脑T2*和磁量图(QSM)源数据, 将本文的方法分别与基于二维和三维的小波、双树复数小波的融合方法进行对比。实验显示基于三维变换的融合方法性能普遍优于基于二维变换的方法; 三维方法中, 剪切波克服了传统小波变换缺乏表达方向的缺陷, 能有效地提高传统图像融合算法的性能, 因此, 本文的方法质量指标最高

References

[1]  11. SMITH S M. Fast robust automated brain extraction[J]. Hum Brain Mapp, 2002, 17(3): 143-155.
[2]  12. ZHANG Q, CHEN Y, WANG L. Multisensor video fusion based on spatial-temporal salience detection[J]. Signal Processing, 2013, 93(9): 2485-2499.
[3]  13. ZHANG Q, WANG L, MA Z, et al. A novel video fusion framework using surfacelet transform[J]. Opt Commun, 2012, 285(13): 3032-3041.
[4]  14. PETROVI V, XYDEAS C. On the effects of sensor noise in pixel-level image fusion performance[C]//Proceedings of the Third International Conference on Information Fusion. Paris: 2000: WEC3/14-19.
[5]  3. WANG S, LIU T, CHEN W, et al. Noise effects in various quantitative susceptibility mapping methods[J/OL]. (2013-06-07) [2014-02-06]. http://www.ncbi.nlm.nih.gov/pubmed/23751950.
[6]  4. LU H, ZHANG L, SERIKAWA S. Maximum local energy: an effective approach for multisensor image fusion in beyond wavelet transform domain[J]. Computers & Mathematics with Applications, 2012, 64(5): 996-1003.
[7]  5. EASLEY G R, LABATE D, COLONNA F. Shearlet-based total variation diffusion for denoising[J]. IEEE Trans Image Process, 2009, 18(2): 260-268.
[8]  6. YI S, LABATE D, EASLEY G R, et al. A shearlet approach to edge analysis and detection[J]. IEEE Trans Image Process, 2009, 18(5): 929-941.
[9]  7. NEGI P S, LABATE D. 3-D discrete shearlet transform and video processing[J]. IEEE Trans Image Process, 2012, 21(6): 2944-2954.
[10]  8. DEHGHANI M. Wavelet-based image fusion using "A trous" algorithm[C]//Proceeding of the Map India Conference. New Delhi: 2003: 28-31.
[11]  9. KUTYNIOK G I, DEMETRIO L. Shearlets: multiscale analysis for multivariate data[M]. Boston: Springer, 2012: 15-35.
[12]  10. LIM W Q. The discrete shearlet transform: a new directional transform and compactly supported shearlet frames[J]. IEEE Trans Image Process, 2010, 19(5): 1166-1180.
[13]  1. ?HATT C R, JAIN A K, PARTHASARATHY V, et al. MRI-3D ultrasound-X-ray image fusion with electromagnetic tracking for transendocardial therapeutic injections: in-vitro validation and in-vivo feasibility[J]. Comput Med Imaging Graph, 2013, 37(2): 162-173.
[14]  2. CLEVERT D A, HELCK A, PAPROTTKA P M, et al. Ultrasound-guided image fusion with computed tomography and magnetic resonance imaging. Clinical utility for imaging and interventional diagnostics of hepatic lesions[J]. Radiologe, 2012, 52(1): 63-69.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133