3D image fusion using MRI/CT and infrared images;Fusão 3D de imagens de MRI/CT e termografia

Revista Brasileira de Engenharia Biomedica

Volumn 29, Issue 3, 2013, Pages 298-308

  Sanches, Ionildo José ^a   Gamba, Humberto Remigio ^a   de Souza, Mauren Abreu ^a   Neves, Eduardo Borba ^a   Nohama, Percy ^a  

^a UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

Author keywords

3D visualization; Image fusion; Registration; Thermography

Indexed keywords

3D IMAGING TECHNIQUES; 3D VISUALIZATION; DIAGNOSTIC TECHNIQUES; IMAGE FUSION METHODS; INFORMATION CONTENTS; MAGNETIC RESONANCE IMAGES (MRI); REGISTRATION; X-RAY COMPUTED TOMOGRAPHY;

ATMOSPHERIC TEMPERATURE; COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; IMAGE FUSION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; THERMOGRAPHY (IMAGING); THERMOGRAPHY (TEMPERATURE MEASUREMENT); THREE DIMENSIONAL COMPUTER GRAPHICS;

THREE DIMENSIONAL;

EID: 84885058291     PISSN: 15173151     EISSN: 19847742     Source Type: Journal    
DOI: 10.4322/rbeb.2013.031     Document Type: Article

References (35)

1. Aksenov P, Clark I, Grant D, Inman A, Vartikovski L, Nebel J-C. 3D thermography for quantification of heat generation resulting from inflammation. In: Modelling Symposium: Proceedings 8th 3D Modelling Symposium; 2003; Paris. Paris; 2003.
2. Bandeira F, Moura MAM, Souza MA, Nohama P, Neves EB. Pode a termografia auxiliar no diagnóstico de lesões musculares em atletas de futebol?. Revista Brasileira de Medicina do Esporte. 2012; 18(4):246-51. http://dx.doi.org/10.1590/S1517-86922012000400006
3. Barra V, Boire JY. A general framework for the fusion of anatomical and functional medical images. NeuroImage. 2001; 13(3):410-24. PMid:11170807. http://dx.doi.org/10.1006/nimg.2000.0707
4. Baum K G, Helguera M, Krol A. Fusion Viewer: A new tool for fusion and visualization of multimodal medical data sets. Journal of Digital Imaging. 2008; 21(1):59-68. PMid:17960461 PMCid:PMC3043878. http://dx.doi.org/10.1007/s10278-007-9082-z
5. Bichinho GL, Gariba MA, Sanches IJ, Gamba HR, Cruz FPF, Nohama P. A computer tool for the fusion and visualization of thermal and magnetic resonance images. Journal of Digital Imaging. 2009; 22(5):527-34. http://dx.doi.org/10.1007/s10278-007-9046-3
6. Cizek J, Herholz K, Vollmar S, Schrader R, Klein J, Heiss WD. Fast and robust registration of PET and MR images of human brain. NeuroImage. 2004; 22(1):434-42. PMid:15110036. http://dx.doi.org/10.1016/j.neuroimage.2004.01.016
7. Correa NM, Li YO, Adali T, Calhoun VD. Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis. In: ICASSP: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2009 Apr; Taipei. IEEE; 2009. p. 385-8. PMid:20026504. http://dx.doi.org/10.1109/ICASSP.2009.4959601
8. Curless BL. New methods for surface reconstruction from range images [thesis]. Stanford University; 1997.
9. Diakides NA, Bronzino JD. Medical infrared imaging. CRC Press; 2008.
10. Fitzpatrick, JM. Detecting Failure, Assessing Success. In: Hajnal J, Hawkes D, Hill D, editors. Medical Image Registration, The Biomedical Engineering Series. Boca Raton: CRC Press; 2001. http://dx.doi.org/10.1201/9781420042474.ch6
11. Giesel FL, Mehndiratta A, Locklin J, McAuliffe MJ, White S, Choyke PL, Knopp MV, Wood BJ, Haberkorn U, von Tengg-Kobligk H. Image fusion using CT, MRI and PET for treatment planning, navigation and follow up in percutaneous RFA. Experimental Oncology. 2009;31(2):106-14. PMid:19550401 PMCid:PMC2850071.
12. Gray WH, Dumont C, Abidi MA. Integration of multiple range and intensity image pairs using a volumetric method to create textured 3D models. In: SPIE Conference on Machine Vision Applications in Industrial Inspection: Proceedings of SPIE Conference on Machine Vision Applications in Industrial Inspection VIII; 2000 Jan; San Jose. SPIE; 2000. p. 94-104. http://dx.doi.org/10.1117/12.380062
13. Hill DLG, Batchelor PG, Holden M, Hawkes DJ. Medical image registration. Physics in Medicine and Biology. 2001; 46(3):R1-45. PMid:11277237. http://dx.doi.org/10.1088/0031-9155/46/3/201
14. International Academy of Clinical Thermology - IACT. Thermography guidelines: standards and protocols in clinical thermographic imaging. IACT; 2002. http://www.iact-org.org/professionals/thermog-guidelines.html.
15. Jain R, Kasturi R, Schunck BG. Machine vision. New York: McGraw-Hill; 1995.
16. Ju X, Nebel JC, Siebert JP. 3D thermography imaging standardization technique for inflammation diagnosis. In: Haimei Gong, Yi Cai, Jean-Pierre Chatard, editor. Proceedings of SPIE Infrared Components and Their Applications; 2004 Nov; Beijing, China. Beijing; 2004. p. 266-73.
17. Kaufman A, Mueller K. Overview of Volume Rendering. In: Hansen CD, Johnson CR, editors. The Visualization Handbook. Elsevier Academic Press; 2005. http://dx.doi.org/10.1016/B978-012387582-2/50009-5
18. Maintz JBA, Viergever MA. A survey of medical image registration. Medical Image Analysis. 1998;2(1):1-37. http://dx.doi.org/10.1016/S1361-8415(01)80026-8
19. Manssour IH, Freitas CMDS. Visualização volumétrica. RITA - Revista de Informática Teórica e Aplicada. 2002; 9(2):97-126.
20. Martz P. OpenGL (R) distilled. Boston: Addison-Wesley Professional; 2006. PMCid:PMC1325201.
21. Modersitzki J. Numerical methods for image registration. New York: Oxford University Press; 2004. PMid:15472742.
22. Ng YMH, Du R. Reconstruction of 3D thermal distribution from infrared images. In: International Symposium on Mechatronics: Proceedings of the First Asia International Symposium on Mechatronics; 2004 Sept; Xian, China. Xian; 2004. p. 379-83. PMid:15165063.
23. Nowakowski AZ. Quantitative active dynamic thermal IR-imaging and thermal tomography in medical diagnostics. In: Bronzino JD, editor. Medical Devices and Systems, The http://dx.doi.org/10.1201/9781420003864.ch22
24. Osowsky J, Gamba HR, Gariba MA, Bichinho GL, Mezzadri TC, Nohama P. Projeção 2D em Conjuntos de Imagens Médicas usando a Teoria de Range Image. In: Congresso Latino-Americano de Engenharia Biomédica: Anais do III Congresso Latino-Americano de Engenharia Biomédica; 2004; João Pessoa. IFMBE Proceedings; 2004. p. 1307-10.
25. Ring F, Jung A, Zuber J. New opportunities for infrared thermography in medicine. Acta Bio-Optika et Informatica Medica. 2009; 15:28-30.
26. Sanches IJ, Cruz FPF, Bichinho GL, Gariba MA, Nohama P, Gamba HR, Centeno M. Registro e visualização 3-D de imagens de ressonância magnética e termografia. In: XX CBEB: Anais do Congresso Brasileiro de Engenharia Biomédica; 2006 Out; São Pedro. São Pedro; 2006.
27. Sanches IJ. Sobreposição de imagens de termografia e ressonância magnética: uma nova modalidade de imagem médica tridimensional [tese]. Curitiba: Universidade Tecnológica Federal do Paraná; 2009.
28. Souza MA, Sanches IJ, Gamba HR. A New Method for Generating 3D Thermography Models. Innsbruck: International Association of Science and Technology for Development (IASTED); ACTA Press; 2012. http://dx.doi.org/10.2316/P.2012.764-081
29. Tomazevic D, Likar B, Pernus F. 3-D/2-D registration by integrating 2-D information in 3-D. IEEE Transactions on Medical Imaging. 2006; 25(1):17-27. PMid:16398411. http://dx.doi.org/10.1109/TMI.2005.859715
30. Uematsu S. Symmetry of skin temperature comparing one side of the body to the other. Thermology. 1985; 1(1):4-7.
31. Wiecek B, Danych R, Zwolenik Z, Jung A, Zuber J. Advanced thermal image processing for medical and biological applications. In: Annual EMBS International Conference of the IEEE: Proceedings of the 23rd Annual EMBS International Conference of the IEEE; 2001; Turkey. IEEE; 2001. p. 2805-2807.
32. Wiecek B, Strzelecki M, Jakubowska T, Wysocki M, Drews-Peszynski C. Advanced thermal image processing. In: Bronzino JD, editor. Medical Devices and Systems, The Biomedical Engineering Handbook. 3rd ed. CRC Press; 2006. http://dx.doi.org/10.1201/9781420003864.ch28
33. Woo M, Neider J, Davis T, Shreiner D. OpenGL programming guide: the official guide to learning OpenGL. version 1.2. 3rd ed. Addison-Wesley Longman Publishing; 1999.
34. Wright RS Jr, Lipchak B. Opengl̊ superbible. 3rd ed. Sams Publishing; 2005.
35. Zitova B, Flusser J. Image registration methods: a survey. Image and Vision Computing. 2003; 21(11):977-1000. http://dx.doi.org/10.1016/S0262-8856(03)00137-9