Automated intracranial aneurysm isolation and quantification

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 2841-2844

  Larrabide, Ignacio ^a,b   Villa Urio, Maria Cruz ^a,b   Cardenes, Rubén ^a,b   Pozo, Jose Maria ^a,b   Hose, D Rod ^d   Frangi, Alejandro F ^a,b,c  

^a BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^b UNIVERSITAT POMPEU FABRA   (Spain)

^c INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

^d UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DEFORMABLE MODELS; DESCRIPTORS; GEOMETRICAL ANALYSIS; GEOMETRICAL CHARACTERISTICS; INTRACRANIAL ANEURYSMS; TOPOLOGY ANALYSIS; TREATMENT SELECTION; VASCULAR GEOMETRY;

AUTOMATION;

ALGORITHM; ANEURYSM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATION; COMPUTER PROGRAM; COMPUTER SIMULATION; DIAGNOSTIC IMAGING; HUMAN; IMAGE PROCESSING; INTRACRANIAL ANEURYSM; METHODOLOGY; PATHOPHYSIOLOGY; REPRODUCIBILITY; SIGNAL PROCESSING; THEORETICAL MODEL;

ALGORITHMS; ANEURYSM; AUTOMATION; COMPUTER SIMULATION; DIAGNOSTIC IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTRACRANIAL ANEURYSM; MODELS, ANATOMIC; MODELS, THEORETICAL; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 78650829200     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626075     Document Type: Conference Paper

References (8)

1. M. Kangasniemi, T. Mäkelä, S. Koskinen, M. Porras, and K. P. J. Hernesniemi, "Detection of intracranial aneurysms with two-dimensional and three-dimensional multislice helical computed tomographic angiography," Neurosurgery, vol. 54, no. 2, pp. 336-341, 2004.
2. M. D. Ford, Y. Hoi, M. Piccinelli, L. Antiga, and D. A. Steinman, "An objective approach to digital removal of saccular aneurysms: technique and applications," Br. J. Radiol., vol. 82, pp. S55-S61, 2009.
3. A. Lauric, E. Miller, S. Frisken, and A. M. Malek, "Automated detection of intracranial aneurysms based on parent vessel 3d analysis," Med. Image Anal., vol. 14, no. 2, pp. 149-159, 2010.
4. M. Hernandez and A. F. Frangi, "Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3dra and cta," Med. Image Anal., vol. 11, no. 3, pp. 224-241, 2007.
5. H. Bogunović, A. Radaelli, M. D. Craene, D. Delgado, and A. Frangi, "Image intensity standardization in 3d rotational angiography and its application to vascular segmentation," in SPIE Medical Imaging 2008: Image Processing (eds J. Reinhardt & J. Pluim), vol. 6914, (doi:10.1117/12.770564), 2008, p. 691419, iIS.
6. S. Bouix, K. Siddiqi, and A. Tannenbaum, "Flux driven automatic centerline extraction," School of Computer Science, McGill University, Tech. Rep. SOCS-04.2, 2004.
7. J. Montagnat and H. Delingette, "4D deformable models with temporal constraints: application to 4D cardiac image segmentation," Med. Image Anal., vol. 9, pp. 87-100, 2005.
8. A. F. Frangi, D. R. Hose, and D. A. Ruefenacht, "The @neurist project: Towards understanding cerebral aneurysms," SPIE Newsroom, 2007.