Pulmonary Embolism Vascular Segmentation in CT Angiography

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Pulmonary embolism mortality rate is very high disease, especially for acute pulmonary embolism with other disease mortality. Treatment of pulmonary embolism method is mainly to drug therapy. Pulmonary embolism in the acute phase of drug treatment strategies is mainly for anticoagulation and thrombolysis. Through the lungs scanning, decision of thrombolysis success or fail. This paper puts forward a kind of algorithm that analysis quantitatively the degree of thrombolysis by the computer. Firstly, making use of the Hessians eigenvalue and diffuse equation enhance pulmonary embolism vessel, and then pulmonary embolism vessel segmentation based on a LEVEL-SET. At lastly, According to the eigenvalue of blood vessels, remove the blood vessels edge line, and the rest relevant to edge point. According to the each point of eigenvector and eigenvalue, quantitative analysis of the degree of thrombolysis.

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4192-4196

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Kaftan, Jens N.; Bakai, Annemarie; Das, Marco; Aach, Til ;Locally adaptive fuzzy pulmonary vessel segmentation in contrast enhanced CT data,; 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI, pp.101-104, (2008).

DOI: 10.1109/isbi.2008.4540942

Google Scholar

[2] Zhou Chuan; Chan Heang-Ping; Sahiner Berkman; Hadjiiski Lubomir M; Chughtai Aamer; Patel Smita; Wei Jun; Cascade Philip N; 2009 K azerooni Ella" A Computer-aided detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA) performance evaluation with independent data sets,. Medical physics 2009; 36(8): 3385-96.

DOI: 10.1118/1.3157102

Google Scholar

[3] Yoshitaka Masutani*, Heber MacMahon, and Kunio Doi: Computerized Detection of Pulmonary Embolismin Spiral CT Angiography Based on Volumetric Image Analysis,: IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 21, NO. 12, DECEMBER 2002 0278-0062/02$17. 00 © 2002 IEEE 1517-1522.

DOI: 10.1109/tmi.2002.806586

Google Scholar

[4] Eric Pichona*, Carol L. Novakb, Atilla P. Kiralyb, David P. Naidichc;A novel method for pulmonary emboli visualization from high-resolution CT images,: Proceedings of the SPIE, vol. 5367, May 2004, pp.161-170 XP002355834 Abstract.

Google Scholar

[5] Y. Masutani, H. MacMahon, and K. Doi, Computer-assisted detectionof pulmonary embolism, Proc. SPIE (Medical Imaging 2000), pt. II, vol. 3979, p.944–950.

Google Scholar

[6] LIU Zhi-hong, ZHAO Zhi-hui, XIONG Chang-ming, et al : Center for Pulmonary Vascular Disease Diagnosis and Treatment, Cardiovascular Institute and Fu-Wai Heart Hospital, Beijing 100037, China.

Google Scholar

[7] R. Mannieshing, M.A. Viergever, and W. J . Niessen. Vessel enhancing diffusion: A scale space representation of vessel structures. Medical Image Analysis, 2006. (document), 1, 1. 1, 4.

DOI: 10.1016/j.media.2006.06.003

Google Scholar

[8] S. Osher, J. A. Sethian. Fronts Propagating with Curvature DependentSpeed: Algorithms based on the Hamilton—Jacobi formulation [J]. Journal of Computational Physics (S0021-9991), 1988, 79(1): 12-49.

DOI: 10.1016/0021-9991(88)90002-2

Google Scholar

[9] D. Adalsteinsson, J. A. Sethian. The Fast Cconstruction of Extension Velocities in Level Set Methods [J]. Journal of Computational Physics (S0021-9991), 1999, 148(1): 2-22.

DOI: 10.1006/jcph.1998.6090

Google Scholar

[10] Y. Sato, S. Nakajima, H. Atsumi, T. Koller, G. Gerig, S. Yoshida, and R. Kikinis, 3d multiscaleline filter for segmentation and visualization of curvilinear structures in medical images, " in CVRMed-MRCAS, 97: Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery. London, UK: Springer-Verlag, 1997, p.213.

DOI: 10.1007/bfb0029240

Google Scholar

[11] C. Lorenz, I. -C. Carlsen, T. M. Buzug, C. Fassnacht, and J. Weese, Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2d and3d medical images, " in CVRMed-MRCAS, 97: Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery. London, UK: Springer-Verlag, 1997, p.233.

DOI: 10.1007/bfb0029242

Google Scholar

[12] Shiying Hu, Eric A. Horffman, Automatic Lung Segmentation for Accurate Quantitation of Volumetric X-Ray CT Images . IEEE TRANSACTIONS ON MEDICAL IMAGING , VOL . 20, NO 6, JUNE (2001).

DOI: 10.1109/42.929615

Google Scholar