Automatic neck plane detection and 3d geometric characterization of aneurysmal sacs

Annals of Biomedical Engineering

Volumn 40, Issue 10, 2012, Pages 2188-2211

  Piccinelli, Marina ^a   Steinman, David A ^b   Hoi, Yiemeng ^b   Tong, Frank ^c   Veneziani, Alessandro ^a   Antiga, Luca ^d,e  

^a EMORY UNIVERSITY   (United States)

^b UNIVERSITY OF TORONTO   (Canada)

^c EMORY UNIVERSITY HOSPITAL   (United States)

^d Orobix srl   (Italy)

^e MARIO NEGRI INST PHARMACOL RES   (Italy)

Author keywords

3D geometry and morphology quantification; Cerebral aneurysms; Geometry; Morphology; Neck section automatic identification

Indexed keywords

3D CHARACTERIZATION; 3D GEOMETRY; AUTOMATIC IDENTIFICATION; CEREBRAL ANEURYSMS; CLINICAL IMAGES; CLINICAL PRACTICES; CLINICAL SETTINGS; GEOMETRIC CHARACTERIZATION; INTRACRANIAL ANEURYSMS; LEVEL SETS; OBSERVER VARIABILITY; PLANE DETECTION; PROSPECTIVE STUDY; RISK FACTORS; ROBUST TECHNIQUE; SEGMENTATION METHODS; SHAPE FACTOR; SURGICAL PLANNING; THRESHOLDING; TWO-DIMENSIONAL IMAGES;

AUTOMATION; MORPHOLOGY; THREE DIMENSIONAL COMPUTER GRAPHICS;

GEOMETRY;

ANEURYSM RUPTURE; ARTICLE; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; FACTUAL DATABASE; FEMALE; HUMAN; IMAGE PROCESSING; INTRACRANIAL ANEURYSM; MAGNETIC RESONANCE ANGIOGRAPHY; MALE; METHODOLOGY; PATHOLOGY; RANDOMIZED CONTROLLED TRIAL; THREE DIMENSIONAL IMAGING;

ANEURYSM, RUPTURED; DATABASES, FACTUAL; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INTRACRANIAL ANEURYSM; MAGNETIC RESONANCE ANGIOGRAPHY; MALE;

EID: 84867233201     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-012-0577-5     Document Type: Article

References (35)

1. Antiga, L., and D. A. Steinman. Robust and objective decomposition and mapping of bifurcating vessels. IEEE Trans. Med. Imaging 23:704-713, 2004.
2. Antiga, L. and D. A. Steinman. Vascular Modeling Toolkit, 2008. Available at http://www.vmtk.org. Accessed 20 Apr 2012.
3. Anxionnat, R., S. Bracard, X. Ducrocq, Y. Trousset, L. Launay, E. Kerrien, M. Braun, R. Vaillant, F. Scomazzoni, A. Lebedinsky, and L. Picard. Intracranial aneurysms: clinical value of 3D digital subtraction angi-ography in the therapeutic decision and endovascular treatment. Radiology 218:799-808, 2001.
4. Baharoglu, M. I., C. M. Schirmer, D. A. Hoit, B. L. Gao, and A. M. Malek. Aneurysm inflow-angle as a discriminant for rupture in sidewall cerebral aneurysms. Stroke 41:1423-1430, 2010.
5. Cardenes, R., J. Pozo, H. Bogunovic, I. Larrabide, and A. Frangi. Automatic aneurysm neck detection using surface Voronoi Diagrams. IEEE Trans. Med. Imaging 30(10): 1863-1876, 2011.
6. Cebral, J. R., F. Mut, J. Weir, and C. Putman. Quantitative characterization of the hemodynamic environment in ruptured and unruptured brain aneurysms. AJNR Am. J. Neuroradiol. 32:145-151, 2011.
7. Cebral, J. R., F. Mut, J. Weir, and C. M. Putman. Association of hemodynamic characteristics and cerebral aneu-rysm rupture. AJNR Am. J. Neuroradiol. 32:264-270, 2011.
8. Cebral, J. R., M. Sheridan, and C. M. Putman. Hemody-namics and bleb formation in intracranial aneurysms. AJNR Am. J. Neuroradiol. 31:304-310, 2010.
9. Chien, A., J. Sayre, and F. Vinuela. Comparative morphological analysis of the geometry of ruptured and unruptured aneurysms. Neurosurgery 69:349-356, 2011.
10. Dhar, B. E., M. Tremmel, J. Mocco, M. Kim, J. Yamam-oto, A. H. Siddiqui, L. N. Hopkins, and H. Meng. Morphology parameters for intracranial aneurysm rupture risk assessment. Neurosurgery 63:185-196, 2008.
11. Ebel, R. L. Estimation of the reliability of ratings. Psy-chometrika 16:407-424, 1951.
12. Ford, M. D., Y. Hoi, M. Piccinelli, L. Antiga, and D. A. Steinman. An objective approach to digital removal of saccular aneurysms: techniques and applications. Br. J. Radiol. 82:S55-S61, 2009.
13. Ford, M. D., S. W. Lee, S. P. Lownie, D. W. Holdsworth, and D. A. Steinman. On the effect of parent-aneurysm angle on flow patterns in basilar tip aneurysms: towards a surrogate geometric marker of intra-aneurysmal hemody-namics. J. Biomech. 41:241-248, 2008.
14. Hoh, B. L., C. L. Sistrom, C. S. Firment, G. L. Fautheree, G. J. Velat, J. H. Whiting, J. F. Reavey-Cantwell, and S. B. Lewis. Bottleneck factor and height-width ratio: association with ruptured aneurysms in patients with multiple cerebral aneurysms. Neurosurgery 61:716-722, 2007.
15. Hoi, Y., H. Meng, S. H. Woodward, B. R. Bendok, R. A. Hanel, L. R. Guterman, and L. N. Hopkins. Effects of arterial geometry on aneurysm growth: three-dimensional computational fluid dynamics study. J. Neurosurg. 101: 676-681, 2004.
16. Larrabide, I., M. C. Villa-Uriol, R. Cardenes, M. J. Pozo, J. Macho, L. S. Roman, J. Blasco, E. Vivas, A. Manzo, D. R. Hose, and A. F. Frangi. Three dimensional morphological analysis of intracranial aneurysms: a fully automated method for aneurysm sac isolation and quantification. Med. Phys. 38:2439-2449, 2011.
17. Lauric, A., E. L. Miller, M. I. Baharoglu, and A. M. Malek. 3D shape analysis of intracranial aneurysms using the writhe number as a discriminant for rupture. Ann. Biomed. Eng. 39:1457-1469, 2011.
18. Ma, B., R. E. Harbaugh, and M. L. Raghavan. Three-dimensional geometrical characterization of cerebral aneurysms. Ann. Biomed. Eng. 32:264-273, 2004.
19. Ma, D., M. Tremmel, R. A. Paluch, E. I. Levy, H. Meng, and J. Mocco. Size ratio for clinical assessment of intra-cranial aneurysm rupture risk. Neurol. Res. 32:482-486, 2010.
20. Mantha, A. R., G. Benndorf, A. Hernandez, and R. W. Metcalfe. Stability of pulsatile blood flow at the ostium of cerebral aneurysms. J. Biomech. 42:1081-1087, 2009.
21. Parlea, L. P., R. Fahrig, D. W. Holdsworth, and S. P. Lownie. An analysis of the geometry of saccular intracranial aneurysms. AJNR Am. J. Neuroradiol. 20:1079-1089, 1999.
22. Passerini, T., L. Sangalli, S. Vantini, M. Piccinelli, S. Bacigaluppi, L. Antiga, E. Boccardi, P. Secchi, and A. Veneziani. An integrated statistical investigation of internal carotid arteries of patients affected by cerebral aneurysms. Cardiovasc. Eng. Technol. 3:26-40, 2012.
23. Piccinelli, M., S. Bacigaluppi, E. Boccardi, B. Ene-Iordache, A. Remuzzi, A. Veneziani, and L. Antiga. Geometry of internal carotid artery and recurrent patterns in location, orientation and rupture status of lateral aneurysms: an image-based computational study. Neurosurgery 68(5): 1270-1285, 2011.
24. Piccinelli, M., A. Veneziani, D. A. Steinman, A. Remuzzi, and L. Antiga. A framework for geometric analysis of vascular structures: application to cerebral aneurysms. IEEE Trans. Med. Imaging 28:1141-1155, 2009.
25. R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing, 2005. http://www. R-project.org. Accessed 20 Apr 2012.
26. Raghavan, M. L., B. Ma, and R. E. Harbaugh. Quantified aneurysm shape and ruptured risk. J. Neurosurg. 102:355-362, 2005.
27. Raghavan, M. L., J. Torner, J. Zhang, I. Meissner, D. Pie-pgras, J. Huston, andR. Brown. Assessmentof intracranuial aneurysms morphology in a large patient population. In: 6th World Congress of Biomechanics 2010, Singapore.
28. Ryu, C. W., O. K. Kwon, J. S. Koh, and E. J. Kim. Analysis of aneurysm rupture in relation to the geometric indices: aspect ratio, volume, and volume-to-neck ratio. Neuroradiology 53(11):883-889, 2011.
29. Sangalli, M. L., P. Secchi, S. Vantini, and A. Veneziani. A case study in exploratory functional data analysis: geometrical features of the internal carotid artery. J. Am. Stat. Assoc. 104:37-48, 2009.
30. Sgouritsa E., A. Mohamed, H. Morsi, H. Shaltoni, M. Mawad, and I. Kakadiaris. Neck localization and geometry quantification of intracranial aneurysms. In: IEEE International Symposium on Biomedical Imaging, 2010, pp. 1057-1060.
31. Tateshima, A., A. Chien, J. Sayre, J. Cebral, and F. Vinuela. The effect of aneurysm geometry on the intra-aneurysmal flow condition. Neuroradiology 52:1135-1141, 2010.
32. Ujiie, H., H. Tachibana, O. Hiramatsu, A. L. Hazel, T. Matsumoto, Y. Ogasawara, H. Nakajima, T. Hori, K. Takakura, and F. Kajiya. Effects of size and shape (aspect ratio) on the hemodynamics of saccular aneurysms: a possible index for surgical treatment of intracranial aneurysms. Neurosurgery 45:119-129, 1999.
33. Weir, J. P. Quantifying test-reliability using the intraclass correlation coefficient and the SEM. J. Strength Cond. Res. 19:231-240, 2005.
34. Xiang, J., S. K. Natarajan, M. Tremmel, D. Ma, J. Mocco, L. N. Hopkins, A. H. Siddiqui, E. I. Levy, and H. Meng. Hemodynamic-morphologic discriminants for intracranial aneurysm rupture. Stroke 42:144-152, 2011.
35. Yasuda, R., C. M. Strother, W. Taki, K. Shinki, K. Royalty, K. Pulfer, and C. Karmonik. Aneurysm vol-ume-to-ostium area ratio: a parameter useful in discriminating the rupture status of intracranial aneurysms. Neurosurgery 68:310-317, 2011.