Automatic centerline extraction of left coronary artery from X–ray rotational angiographic images
Rotational X-ray coronary angiography is a medical imaging technique safe and effective in identifying of the luminal disease, which considers a significant reduction in radiation exposure and contrast medium volume compared to conventional angiography. The main objective of this research is to prop...
- Autores:
-
Chacón, Gerardo
Rodríguez, Johel
Bermúdez, Valmore
Vera, Miguel
Madriz, Delia
Bravo, Antonio
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/2768
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/2768
- Palabra clave:
- Cardiac imaging
Rotational angiography
Left coronary artery
Diffusion enhancement
Optical flow
- Rights
- License
- Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional
| id |
USIMONBOL2_682dc993fb6869c12ed9d9dff43f93bf |
|---|---|
| oai_identifier_str |
oai:bonga.unisimon.edu.co:20.500.12442/2768 |
| network_acronym_str |
USIMONBOL2 |
| network_name_str |
Repositorio Digital USB |
| repository_id_str |
|
| dc.title.eng.fl_str_mv |
Automatic centerline extraction of left coronary artery from X–ray rotational angiographic images |
| title |
Automatic centerline extraction of left coronary artery from X–ray rotational angiographic images |
| spellingShingle |
Automatic centerline extraction of left coronary artery from X–ray rotational angiographic images Cardiac imaging Rotational angiography Left coronary artery Diffusion enhancement Optical flow |
| title_short |
Automatic centerline extraction of left coronary artery from X–ray rotational angiographic images |
| title_full |
Automatic centerline extraction of left coronary artery from X–ray rotational angiographic images |
| title_fullStr |
Automatic centerline extraction of left coronary artery from X–ray rotational angiographic images |
| title_full_unstemmed |
Automatic centerline extraction of left coronary artery from X–ray rotational angiographic images |
| title_sort |
Automatic centerline extraction of left coronary artery from X–ray rotational angiographic images |
| dc.creator.fl_str_mv |
Chacón, Gerardo Rodríguez, Johel Bermúdez, Valmore Vera, Miguel Madriz, Delia Bravo, Antonio |
| dc.contributor.author.none.fl_str_mv |
Chacón, Gerardo Rodríguez, Johel Bermúdez, Valmore Vera, Miguel Madriz, Delia Bravo, Antonio |
| dc.subject.eng.fl_str_mv |
Cardiac imaging Rotational angiography Left coronary artery Diffusion enhancement Optical flow |
| topic |
Cardiac imaging Rotational angiography Left coronary artery Diffusion enhancement Optical flow |
| description |
Rotational X-ray coronary angiography is a medical imaging technique safe and effective in identifying of the luminal disease, which considers a significant reduction in radiation exposure and contrast medium volume compared to conventional angiography. The main objective of this research is to propose a computational approach to automatically extract a description of the morphopatological shape of the left coronary artery by means the centerlines of this vessel. The proposal is based on a sequential design which involves image enhancement, identification of all the types of vascular points belonging to the vascular system, construction of the coronary tree and tracking of the centerlines along the rotational angiography sequence. Some results obtained after applying this method to monoplane rotational X–ray image sequences are presented. |
| publishDate |
2018 |
| dc.date.issued.none.fl_str_mv |
2018 |
| dc.date.accessioned.none.fl_str_mv |
2019-03-08T22:53:12Z |
| dc.date.available.none.fl_str_mv |
2019-03-08T22:53:12Z |
| dc.type.eng.fl_str_mv |
article |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.identifier.issn.none.fl_str_mv |
0277786X |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12442/2768 |
| identifier_str_mv |
0277786X |
| url |
http://hdl.handle.net/20.500.12442/2768 |
| dc.language.iso.eng.fl_str_mv |
eng |
| language |
eng |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.license.spa.fl_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional |
| rights_invalid_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
| dc.publisher.eng.fl_str_mv |
International Society For Optical Engineering |
| dc.source.eng.fl_str_mv |
Proceedings of SPIE 14th International Symposium on Medical Information Processing and Analysis |
| dc.source.spa.fl_str_mv |
Vol. 10975 (2018) |
| institution |
Universidad Simón Bolívar |
| dc.source.uri.eng.fl_str_mv |
DOI: 10.1117/12.2511563 |
| bitstream.url.fl_str_mv |
https://bonga.unisimon.edu.co/bitstreams/8305acee-0b5a-4a49-94f3-c8ea3eb83f90/download https://bonga.unisimon.edu.co/bitstreams/3d3f4cd3-f35e-47c1-9904-25f7e266edd0/download https://bonga.unisimon.edu.co/bitstreams/33df3cc4-5d6c-4a97-813b-9bad171bb557/download https://bonga.unisimon.edu.co/bitstreams/7af34c27-7da4-43e0-a4a5-0f9ce72fe3a0/download https://bonga.unisimon.edu.co/bitstreams/8c342cb8-fb90-452e-980b-3a968806c040/download https://bonga.unisimon.edu.co/bitstreams/bb2f06f9-1c73-4497-a976-f702dc463293/download |
| bitstream.checksum.fl_str_mv |
1b9d3e4e2d178d975a97f6ad7914db6a 3fdc7b41651299350522650338f5754d 9fbf690792a85470b30c6ef7f95913ea 3cfed9883b2f4e99042bb4fc5450b997 de397639b239ecacfb6977eb8e6886ef 2fda8e6c65a1cf93bf9f8dd6a6fa063b |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Digital Universidad Simón Bolívar |
| repository.mail.fl_str_mv |
repositorio.digital@unisimon.edu.co |
| _version_ |
1814076029207052288 |
| spelling |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Chacón, Gerardo09c43ece-2735-4074-9b8c-5852a95df0e4-1Rodríguez, Johel93552fa6-f8a9-488c-96c0-59bc8bfcff40-1Bermúdez, Valmore29f9aa18-16a4-4fd3-8ce5-ed94a0b8663a-1Vera, Miguelc485e4e3-5bbd-4d00-8ec7-e5bc8a0a21e3-1Madriz, Delia77dfe655-dfc5-4477-bda3-8b6495eb9dda-1Bravo, Antonio07aba3dd-3344-4237-9ad4-3d40d655e915-12019-03-08T22:53:12Z2019-03-08T22:53:12Z20180277786Xhttp://hdl.handle.net/20.500.12442/2768Rotational X-ray coronary angiography is a medical imaging technique safe and effective in identifying of the luminal disease, which considers a significant reduction in radiation exposure and contrast medium volume compared to conventional angiography. The main objective of this research is to propose a computational approach to automatically extract a description of the morphopatological shape of the left coronary artery by means the centerlines of this vessel. The proposal is based on a sequential design which involves image enhancement, identification of all the types of vascular points belonging to the vascular system, construction of the coronary tree and tracking of the centerlines along the rotational angiography sequence. Some results obtained after applying this method to monoplane rotational X–ray image sequences are presented.engInternational Society For Optical EngineeringProceedings of SPIE14th International Symposium on Medical Information Processing and AnalysisVol. 10975 (2018)DOI: 10.1117/12.2511563Cardiac imagingRotational angiographyLeft coronary arteryDiffusion enhancementOptical flowAutomatic centerline extraction of left coronary artery from X–ray rotational angiographic imagesarticlehttp://purl.org/coar/resource_type/c_6501Pantos, I., Efstathopoulos, E. P., and Katritsis, D. G., “Two and three-dimensional quantitative coronary angiography,” Cardiology Clinics 27(3), 491–502 (2009).Windecker, S. and Meier, B., “X-ray coronary angiography,” in [Pan Vascular Medicine: Integrated Clinical Management ], Lanzer, P. and Topol, E. J., eds., 602–635, Springer, Berlin, Heidelberg (2002).Di Mario, C. and Sutaria, N., “Coronary angiography in the angioplasty era: projections with a meaning,” Heart 91(7), 968–976 (2005).Robb, G amd Steinberg, I., “Visualization of the chambers of the heart, the pulmonary circulation, and the great blood vessels in man: A practical method,” American Journal of Roentgenology 41(1), 1–17 (1939).Onnasch, D., Schmiel, F.-K., and Kramer, H.-H., “Problems in quantitative evaluations of biplane x-ray angiocardiograms,” International Congress Series 1230, 1010–1016 (2001).Sadick, V., Reed, W., Collins, L., Sadick, N., Heard, R., and Robinson, J., “Impact of biplane versus singleplane imaging on radiation dose, contrast load and procedural time in coronary angioplasty,” The British Journal of Radiology 83(989), 379–394 (2010).Kern, M., Sorajja, P., and Lim, M., [Cardiac Catheterization Handbook E-Book], Elsevier Health Sciences (2015).Cornelis, G., Bellet, A., van Eygen, B., Roisin, P., and Libon, E., “Rotational multiple sequence roentgenography of intracranial aneurysms,” Acta Radiologica: Diagnosis 13(1), 74–76 (1972).Thron, A. and Voigt, K., “Rotational cerebral angiography: procedure and value,” American Journal of Neuroradiology 4(3), 289–291 (1983).Schumacher, M., Kutluk, K., and Ott, D., “Digital rotational radiography in neuroradiology,” American Journal of Neuroradiology 10(3), 644–649 (1989).Carsin, M., Chabert, E., Croci, S., Romeas, R., and Scarabin, J.-M., “[The role of 3–dimensional reconstructions in the angiographic evaluation of cerebral vascular malformations: 3D morphometry],” Journal of Neuroradiology 24(2), 137–140 (1997). in French.Anxionnat, R., Bracard, S., Macho, J., Costa, E. D., Vaillant, R., Trousset, L. L. Y., Romeas, R., and Picard, L., “3D angiography clinical interest. First applications in interventional neuroradiology,” Journal of Neuroradiology 25(4), 251–262 (1998).Raman, S., Morford, R., Neff, M., Attar, T., Kukielka, G., Magorien, R., and Bush, C., “Rotational X–ray coronary angiography,” Catheterization Cardiovascular Interventions 63(2), 201–207 (2004).Green, N. E., Chen, S.-Y., Messenger, J. C., Groves, B. M., and Carroll, J. D., “Three-dimensional vascular angiography,” Current Problems in Cardiology 29(3), 104–142 (2004).Klein, A. J. and Garcia, J. A., “Rotational coronary angiography,” Cardiology Clinics 27(3), 395–405 (2009).Puentes, J., Roux, C., Garreau, M., and Coatrieux, J., “Dynamic feature extraction of coronary artery motion using DSA image sequences,” IEEE Transactions on Medical Imaging 17(6), 857–871 (1998).Blondel, C., Malandain, G., Vaillant, R., and Ayache, N., “Reconstruction of coronary arteries from a single rotational X–ray projection sequence,” IEEE Transaction on Medical Imaging 25(5), 653–663 (2006).Kelh, H., Jäger, J., Papazis, N., Dimitrelos, D., Gehrmann, J., Kassenböhmer, R., Vogt, J., and Sakas, G., “3D heart modeling from biplane rotational angiocardiographic X–ray sequences,” Computers & Graph- ics 24(5), 731–739 (2000).Cañero, C. and Radeva, P., “Vesselness enhancement diffusion,” Pattern Recognition Letters 24(16), 3141– 3151 (2003).Meijering, H., Image Enhancement in Digital X–Ray Angiography, PhD thesis, Utrecht University (Oct 2000).Frangi, A., Niessen, W., Vincken, K., and Viergever, M., “Multiscale vessel enhancement filtering,” in [Proceedings MICCAI ], LNCS, 130–137 (1998).Qian, X., Brennan, M. P., Dione, D. P., Dobrucki, W. L., Jackowski, M. P., Breuer, C. K., Sinusas, A. J., and Papademetris, X., “A non–parametric vessel detection method for complex vascular structures,” Medical Image Analysis 13(1), 49–61 (2009).Black, M. J. and Anandan, P., “The robust estimation of multiple motions: Parametric and piecewisesmooth flow fields,” Computer Vision and Image Understanding 63(1), 75–104 (1996).Sun, D., Roth, S., and Black, M. J., “Secrets of optical flow estimation and their principles,” in [IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)], 2432–2439, IEEE (June 2010).Shelton, D., Stetten, G., Aylward, S., Ibez, L., Cois, A., and Stewart, C., “Teaching medical image analysis with the insight toolkit,” Medical Image Analysis 9(6), 605–611 (2005).ORIGINALPDF.pdfPDF.pdfPDFapplication/pdf1042608https://bonga.unisimon.edu.co/bitstreams/8305acee-0b5a-4a49-94f3-c8ea3eb83f90/download1b9d3e4e2d178d975a97f6ad7914db6aMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-8368https://bonga.unisimon.edu.co/bitstreams/3d3f4cd3-f35e-47c1-9904-25f7e266edd0/download3fdc7b41651299350522650338f5754dMD52TEXTAutomatic centerline extraction of left coronary artery from.pdf.txtAutomatic centerline extraction of left coronary artery from.pdf.txtExtracted texttext/plain27894https://bonga.unisimon.edu.co/bitstreams/33df3cc4-5d6c-4a97-813b-9bad171bb557/download9fbf690792a85470b30c6ef7f95913eaMD53PDF.pdf.txtPDF.pdf.txtExtracted texttext/plain28238https://bonga.unisimon.edu.co/bitstreams/7af34c27-7da4-43e0-a4a5-0f9ce72fe3a0/download3cfed9883b2f4e99042bb4fc5450b997MD55THUMBNAILAutomatic centerline extraction of left coronary artery from.pdf.jpgAutomatic centerline extraction of left coronary artery from.pdf.jpgGenerated Thumbnailimage/jpeg1518https://bonga.unisimon.edu.co/bitstreams/8c342cb8-fb90-452e-980b-3a968806c040/downloadde397639b239ecacfb6977eb8e6886efMD54PDF.pdf.jpgPDF.pdf.jpgGenerated Thumbnailimage/jpeg4911https://bonga.unisimon.edu.co/bitstreams/bb2f06f9-1c73-4497-a976-f702dc463293/download2fda8e6c65a1cf93bf9f8dd6a6fa063bMD5620.500.12442/2768oai:bonga.unisimon.edu.co:20.500.12442/27682024-07-26 03:00:21.213open.accesshttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.coPGEgcmVsPSJsaWNlbnNlIiBocmVmPSJodHRwOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS1uYy80LjAvIj48aW1nIGFsdD0iTGljZW5jaWEgQ3JlYXRpdmUgQ29tbW9ucyIgc3R5bGU9ImJvcmRlci13aWR0aDowIiBzcmM9Imh0dHBzOi8vaS5jcmVhdGl2ZWNvbW1vbnMub3JnL2wvYnktbmMvNC4wLzg4eDMxLnBuZyIgLz48L2E+PGJyLz5Fc3RhIG9icmEgZXN0w6EgYmFqbyB1bmEgPGEgcmVsPSJsaWNlbnNlIiBocmVmPSJodHRwOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS1uYy80LjAvIj5MaWNlbmNpYSBDcmVhdGl2ZSBDb21tb25zIEF0cmlidWNpw7NuLU5vQ29tZXJjaWFsIDQuMCBJbnRlcm5hY2lvbmFsPC9hPi4= |