In Vivo Deformation of the Human Basilar Artery.
B-spline surface deformation methods
Basilar artery
In vivo arterial mechanics
Neurovascular mechanics
Journal
Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512
Informations de publication
Date de publication:
06 Sep 2024
06 Sep 2024
Historique:
received:
27
05
2024
accepted:
14
08
2024
medline:
6
9
2024
pubmed:
6
9
2024
entrez:
6
9
2024
Statut:
aheadofprint
Résumé
An estimated 6.8 million people in the United States have an unruptured intracranial aneurysms, with approximately 30,000 people suffering from intracranial aneurysms rupture each year. Despite the development of population-based scores to evaluate the risk of rupture, retrospective analyses have suggested the limited usage of these scores in guiding clinical decision-making. With recent advancements in imaging technologies, artery wall motion has emerged as a promising biomarker for the general study of neurovascular mechanics and in assessing the risk of intracranial aneurysms. However, measuring arterial wall deformations in vivo itself poses several challenges, including how to image local wall motion and deriving the anisotropic wall strains over the cardiac cycle. To overcome these difficulties, we first developed a novel in vivo MRI-based imaging method to acquire cardiac gated images of the human basilar artery (BA) over the cardiac cycle. Next, complete BA endoluminal surfaces from each frame were segmented, producing high-resolution point clouds of the endoluminal surfaces. From these point clouds we developed a novel B-spline-based surface representation, then exploited the local support nature of B-splines to determine the local endoluminal surface strains. Results indicated distinct regional and temporal variations in BA wall deformation, highlighting the heterogeneous nature BA function. These included large circumferential strains (up to
Identifiants
pubmed: 39240472
doi: 10.1007/s10439-024-03605-x
pii: 10.1007/s10439-024-03605-x
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s) under exclusive licence to Biomedical Engineering Society.
Références
Brisman, J. L., Joon K. Song, and D. W. Newell. Cerebral aneurysms. New England Journal of Medicine. 355(9):928–939, 2006.
pubmed: 16943405
doi: 10.1056/NEJMra052760
Jiang, H., Z. Lu, M. B. Gerdroodbary, A. Sabernaeemi, and S. Salavatidezfouli. The influence of sac centreline on saccular aneurysm rupture: computational study. Scientific Reports. 13(1):11288, 2023.
pubmed: 37438607
pmcid: 10338543
doi: 10.1038/s41598-023-38466-2
Leipzig, T. J., J. Morgan, T. G. Horner, T. Payner, K. Redelman, and C. S. Johnson. Analysis of intraoperative rupture in the surgical treatment of 1694 saccular aneurysms. Neurosurgery. 56(3):455–468, 2005.
pubmed: 15730570
doi: 10.1227/01.NEU.0000154697.75300.C2
Pandey, A. S., C. Koebbe, R. H. Rosenwasser, and E. Veznedaroglu. Endovascular coil embolization of ruptured and unruptured posterior circulation aneurysms: review of a 10-year experience. Neurosurgery. 60(4):626–637, 2007.
pubmed: 17415199
doi: 10.1227/01.NEU.0000255433.47044.8F
Vernooij, M. W., M. A. Ikram, H. L. Tanghe, A. J. Vincent, A. Hofman, G. P. Krestin, W. J. Niessen, M. M. Breteler, and A. van der Lugt. Incidental findings on brain MRI in the general population. New England Journal of Medicine. 357(18):1821–1828, 2007.
pubmed: 17978290
doi: 10.1056/NEJMoa070972
Vlak, M. H., A. Algra, R. Brandenburg, and G. J. Rinkel. Prevalence of unruptured intracranial aneurysms, with emphasis on sex, age, comorbidity, country, and time period: a systematic review and meta-analysis. The Lancet Neurology. 10(7):626–636, 2011.
pubmed: 21641282
doi: 10.1016/S1474-4422(11)70109-0
Etminan, N., and G. J. Rinkel. Unruptured intracranial aneurysms: development, rupture and preventive management. Nature Reviews Neurology. 12(12):699–713, 2016.
pubmed: 27808265
doi: 10.1038/nrneurol.2016.150
Ajiboye, N., N. Chalouhi, R. M. Starke, M. Zanaty, R. Bell, et al. Unruptured cerebral aneurysms: evaluation and management. The Scientific World Journal.2015(1):954954, 2015.
pubmed: 26146657
pmcid: 4471401
doi: 10.1155/2015/954954
Backes, D., G. J. E. Rinkel, J. P. Greving, B. K. Velthuis, Y. Murayama, H. Takao, T. Ishibashi, M. Igase, K. G. Brugge, R. Agid, et al. Elapss score for prediction of risk of growth of unruptured intracranial aneurysms. Neurology. 88(17):1600–1606, 2017.
pubmed: 28363976
doi: 10.1212/WNL.0000000000003865
Greving, J. P., M. J. H. Wermer, R. D. Brown, A. Morita, S. Juvela, M. Yonekura, T. Ishibashi, J. C. Torner, T. Nakayama, G.l. Rinkel, et al. Development of the phases score for prediction of risk of rupture of intracranial aneurysms: a pooled analysis of six prospective cohort studies. The Lancet Neurology. 13(1):59–66, 2014.
pubmed: 24290159
doi: 10.1016/S1474-4422(13)70263-1
Roa, J. A., R. P. Sabotin, A. Varon, A. Raghuram, D. Patel, T. W. Morris, D. Ishii, Y. Lu, D. M. Hasan, and E. A. Samaniego. Performance of aneurysm wall enhancement compared with clinical predictive scales: Phases, elapss, and uiats. World Neurosurgery. 147:e538–e551, 2021.
pubmed: 33388460
doi: 10.1016/j.wneu.2020.12.123
Hernández-Durán, Silvia, Dorothee Mielke, Veit Rohde, and Vesna Malinova. Is the unruptured intracranial aneurysm treatment score (uiats) sensitive enough to detect aneurysms at risk of rupture? Neurosurgical Review. 44:987–993, 2021.
pubmed: 32166509
doi: 10.1007/s10143-020-01246-x
Feghali, J., A. Gami, R. Xu, C. M. Jackson, R. J. Tamargo, C. G. McDougall, J. Huang, and J. M. Caplan. Application of unruptured aneurysm scoring systems to a cohort of ruptured aneurysms: are we underestimating rupture risk? Neurosurgical Review. 2021. https://doi.org/10.1007/s10143-021-01523-3 .
doi: 10.1007/s10143-021-01523-3
pubmed: 33839947
Pagiola, Igor, Cristian Mihalea, Jildaz Caroff, Leon Ikka, Vanessa Chalumeau, Marta Iacobucci, Augustin Ozanne, Sophie Gallas, Marcio Marques, Darcio Nalli, et al. The phases score: to treat or not to treat? retrospective evaluation of the risk of rupture of intracranial aneurysms in patients with aneurysmal subarachnoid hemorrhage. Journal of Neuroradiology. 47(5):349–352, 2020.
pubmed: 31400432
doi: 10.1016/j.neurad.2019.06.003
Sturiale, C. L., V. Stumpo, L. Ricciardi, G. Trevisi, I. Valente, S. D’Arrigo, K. Latour, P. Barbone, and A. Albanese. Retrospective application of risk scores to ruptured intracranial aneurysms: would they have predicted the risk of bleeding? Neurosurgical Review. 44:1655–1663, 2021.
pubmed: 32715359
doi: 10.1007/s10143-020-01352-w
Turski, Patrick, Andrew Scarano, Eric Hartman, Zachary Clark, Tilman Schubert, Leonardo Rivera, Wu. Yijing, Oliver Wieben, and Kevin Johnson. Neurovascular 4dflow mri (phase contrast mra): emerging clinical applications. Neurovascular Imaging. 2:1–11, 2016.
doi: 10.1186/s40809-016-0019-0
Takahashi, S. Neurovascular imaging: MRI microangiography. Berlin: Springer Science and Business Media, 2010.
Christof Karmonik, O Diaz, Robert Grossman, and R Klucznik. In-vivo quantification of wall motion in cerebral aneurysms from 2d cine phase contrast magnetic resonance images. In RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, volume 182, pages 140–150. Georg Thieme Verlag KG Stuttgart New York, 2010.
Abderezaei, J., J. Martinez, I. Terem, G. Fabris, A. Pionteck, Y. Yang, S. J. Holdsworth, K. Nael, and M. Kurt. Amplified flow imaging (aflow): A novel mri-based tool to unravel the coupled dynamics between the human brain and cerebrovasculature. IEEE Transactions on Medical Imaging. 39(12):4113–4123, 2020.
pubmed: 32746150
doi: 10.1109/TMI.2020.3012932
Pionteck, A., J. Abderezaei, P. Fillingham, Y. C. Chuang, Y. Sakai, P. Belani, B. Rigney, R. De Leacy, J. T. Fifi, A. Chien, et al. Intracranial aneurysm wall displacement depicted by amplified flow predicts growth. Journal of NeuroInterventional Surgery. 2024. https://doi.org/10.1136/jnis-2023-021227 .
doi: 10.1136/jnis-2023-021227
pubmed: 38320850
Del Brutto, V. J., J. G. Ortiz, and J. Biller. Intracranial arterial dolichoectasia. Frontiers in Neurology.8:279355, 2017.
Hayakawa, Motoharu, Kazuhiro Katada, Hirofumi Anno, Shuei Imizu, Junichi Hayashi, Keiko Irie, Makoto Negoro, Yoko Kato, Tetsuo Kanno, and Hirotoshi Sano. Ct angiography with electrocardiographically gated reconstruction for visualizing pulsation of intracranial aneurysms: identification of aneurysmal protuberance presumably associated with wall thinning. American Journal of Neuroradiology. 26(6):1366–1369, 2005.
pubmed: 15956499
pmcid: 8149081
Ishida, Fujimaro, Hiroyuki Ogawa, Takeo Simizu, Tadashi Kojima, and Waro Taki. Visualizing the dynamics of cerebral aneurysms with four-dimensional computed tomographic angiography. Neurosurgery. 57(3):460–471, 2005.
pubmed: 16145524
doi: 10.1227/01.NEU.0000170540.17300.DD
Qiao, Y., Z. Anwar, J. Intrapiromkul, L. Liu, S. R. Zeiler, R. Leigh, Y. Zhang, E. Guallar, and B. A. Wasserman. Patterns and implications of intracranial arterial remodeling in stroke patients. Stroke. 47(2):434–440, 2016.
pubmed: 26742795
pmcid: 4729583
doi: 10.1161/STROKEAHA.115.009955
Arts, T., L. P. Onkenhout, R. P. Amier, R. van der Geest, T. van Harten, J. Kappelle, S. Kuipers, M. J. P. van Osch, E. T. van Bavel, G. J. Biessels, et al. Non-invasive assessment of damping of blood flow velocity pulsatility in cerebral arteries with mri. Journal of Magnetic Resonance Imaging. 55(6):1785–1794, 2022.
pubmed: 34792263
doi: 10.1002/jmri.27989
Valencia, Alvaro, and Francisco Solis. Blood flow dynamics and arterial wall interaction in a saccular aneurysm model of the basilar artery. Computers & structures. 84(21):1326–1337, 2006.
doi: 10.1016/j.compstruc.2006.03.008
Baek, S., R. L. Gleason, K. R. Rajagopal, and J. D. Humphrey. Theory of small on large: potential utility in computations of fluid-solid interactions in arteries. Computer methods in applied mechanics and engineering. 196(31–32):3070–3078, 2007.
doi: 10.1016/j.cma.2006.06.018
Lu, J., X. Zhou, and M. L. Raghavan. Inverse method of stress analysis for cerebral aneurysms. Biomechanics and Modeling in Mechanobiology. 7:477–486, 2008.
pubmed: 17990015
doi: 10.1007/s10237-007-0110-1
Humphrey, J. D., and C. A. Taylor. Intracranial and abdominal aortic aneurysms: similarities, differences, and need for a new class of computational models. Annu. Rev. Biomed. Eng. 10:221–246, 2008.
pubmed: 18647115
pmcid: 2742216
doi: 10.1146/annurev.bioeng.10.061807.160439
influence of structural modeling. Ryo Torii, Marie Oshima, Toshio Kobayashi, Kiyoshi Takagi, and Tayfun E Tezduyar. Fluid-structure interaction modeling of a patient-specific cerebral aneurysm. Computational Mechanics. 43:151–159, 2008.
doi: 10.1007/s00466-008-0325-8
Chang-Joon Lee, Yu., Hiroyuki Takao Zhang, Yuichi Murayama, and Yi. Qian. A fluid-structure interaction study using patient-specific ruptured and unruptured aneurysm: The effect of aneurysm morphology, hypertension and elasticity. Journal of Biomechanics. 46(14):2402–2410, 2013.
doi: 10.1016/j.jbiomech.2013.07.016
Lipp, S. N., E. E. Niedert, H. L. Cebull, T. C. Diorio, J. L. Ma, S. M. Rothenberger, K. A. Stevens Boster, and C. J. Goergen. Computational hemodynamic modeling of arterial aneurysms: a mini-review. Frontiers in Physiology.11:532318, 2020.
doi: 10.3389/fphys.2020.00454
Hongping Hu, Ping Luo, Dler Hussein Kadir, and Amin Hassanvand. Assessing the impact of aneurysm morphology on the risk of internal carotid artery aneurysm rupture: A statistical and computational analysis of endovascular coiling. Physics of Fluids, 35 (10), 2023.
Jay D Humphrey. Continuum biomechanics of soft biological tissues. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 459 (2029): 3–46, 2003.
Mousavi, S. J., S. Farzaneh, and S. Avril. Patient-specific predictions of aneurysm growth and remodeling in the ascending thoracic aorta using the homogenized constrained mixture model. Biomechanics and Modeling in Mechanobiology. 18:1895–1913, 2019.
pubmed: 31201620
doi: 10.1007/s10237-019-01184-8
Vaishnav, R. N., and J. Vossoughi. Estimation of residual strains in aortic segments. In: Biomedical engineering II, Amsterdam: Elsevier, 1983, pp. 330–333.
doi: 10.1016/B978-0-08-030145-7.50078-7
Vaishnav, R. N., and J. Vossoughi. Residual stress and strain in aortic segments. Journal of Biomechanics. 20(3):235–239, 1987.
pubmed: 3584149
doi: 10.1016/0021-9290(87)90290-9
Fung, Y. C. What are the residual stresses doing in our blood vessels? Annals of Biomedical Engineering. 19:237–249, 1991.
pubmed: 1928868
doi: 10.1007/BF02584301
Fung, Y. C. Biomechanics: motion, flow, stress, and growth. Berlin: Springer Science Business Media, 2013.
G. A. Holzapfel and R. W. Ogden. Constitutive modelling of arteries. Proceedings of the Royal Society a-Mathematical Physical and Engineering Sciences, 466 (2118): 1551–1596, June 2010. ISSN 1364-5021. https://doi.org/10.1098/rspa.2010.0058 . URL : //000277038700001.
Niranjan Balu, Kaiyu Zhang, Thomas Hatsukami, and Chun Yuan. 3D Isotropic black-blood cine MRI of intracranial arteries. In Proceedings of the 2023 ISMRM & ISMRT Annual Meeting & Exhibition, number 1521.
Wang, J., V. L. Yarnykh, and C. Yuan. Enhanced image quality in black-blood mri using the improved motion-sensitized driven-equilibrium (imsde) sequence. Journal of Magnetic Resonance Imaging: An Official Journal of the International Society for Magnetic Resonance in Medicine. 31(5):1256–1263, 2010.
doi: 10.1002/jmri.22149
Balu, N., V. L. Yarnykh, B. Chu, J. Wang, T. Hatsukami, and C. Yuan. Carotid plaque assessment using fast 3d isotropic resolution black-blood mri. Magnetic Resonance in Medicine. 65(3):627–637, 2011.
pubmed: 20941742
doi: 10.1002/mrm.22642
Li Chen, Wenjin Liu, Niranjan Balu, Mahmud Mossa-Basha, Thomas S Hatsukami, Jenq-Neng Hwang, and Chun Yuan. Deep open snake tracker for vessel tracing. In Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VI 24, pages 579–589. Springer, 2021.
Chen, L., M. Mossa-Basha, N. Balu, G. Canton, J. Sun, K. Pimentel, T. S. Hatsukami, J. N. Hwang, and C. Yuan. Development of a quantitative intracranial vascular features extraction tool on 3 d mra using semiautomated open-curve active contour vessel tracing. Magnetic Resonance in Medicine. 79(6):3229–3238, 2018.
pubmed: 29044753
doi: 10.1002/mrm.26961
Yaniv, Z., B. C. Lowekamp, H. J. Johnson, and R. Beare. Simpleitk image-analysis notebooks: a collaborative environment for education and reproducible research. Journal of Digital Imaging. 31(3):290–303, 2018.
pubmed: 29181613
doi: 10.1007/s10278-017-0037-8
Guo, Y., G. Canton, L. Chen, J. Sun, D. B. Geleri, N. Balu, D. Xu, M. Mossa-Basha, T. S. Hatsukami, and C. Yuan. Multi-planar, multi-contrast and multi-time point analysis tool (mocha) for intracranial vessel wall characterization. Journal of Magnetic Resonance Imaging. 56(3):944–955, 2022.
pubmed: 35099091
doi: 10.1002/jmri.28087
Kerwin, William, Xu. Dongxiang, Fei Liu, Tobias Saam, Hunter Underhill, Norihide Takaya, Baocheng Chu, Thomas Hatsukami, and Chun Yuan. Magnetic resonance imaging of carotid atherosclerosis: plaque analysis. Topics in Magnetic Resonance Imaging. 18(5):371–378, 2007.
pubmed: 18025991
doi: 10.1097/rmr.0b013e3181598d9d
Do Carmo, M. P. Differential geometry of curves and surfaces: revised and updated, 2nd ed. Mineola: Courier Dover Publications, 2016.
Cottrell, J. A., T. J. R. Hughes, and Y. Bazilevs. Isogeometric analysis: toward integration of CAD and FEA. Hoboken: John Wiley & Sons, 2009.
doi: 10.1002/9780470749081
Piegl, L., and W. Tiller. The NURBS book. Berlin: Springer Science & Business Media, 2012.
Rogers, D. F. An introduction to NURBS: with historical perspective. Burlington: Morgan Kaufmann, 2001.
George Celniker and Dave Gossard. Deformable curve and surface finite-elements for free-form shape design. In Proceedings of the 18th annual conference on Computer graphics and interactive techniques, pages 257–266, 1991.
D. B. Smith, M. S. Sacks, D. A. Vorp, and M. Thornton. Surface geometric analysis of anatomic structures using biquintic finite element interpolation. Ann Biomed Eng, 28 (6): 598–611, 2000. URL http://www.ncbi.nlm.nih.gov/htbin-post/Entrez/query?db=m &form=6 &dopt=r &uid=0010983706 .
Coinneach Mackenzie Dover, Will Goth, Christian Goodbrake, James W. Tunnell, and Michael S. Sacks. Simultaneous wide-field planar strain-fiber orientation distribution measurement using polarized spatial domain imaging. 50: 253–277. ISSN 1573-968 https://doi.org/10.1007/s10439-021-02889-7 .
Holzapfel, Gerhard A. Nonlinear solid mechanics: a continuum approach for engineering. Chichester; New York: Wiley, 2000.
Flügge, W. Tensor analysis and continuum mechanics. Berlin: Springer, 1972.
doi: 10.1007/978-3-642-88382-8
Wolfram, S. The mathematica book. Champaign: Wolfram Research Inc, 2003.
Wolf, Y. G., Z. Kobzantsev, and L. Zelmanovich. Size of normal and aneurysmal popliteal arteries: a duplex ultrasound study. Journal of Vascular Surgery. 43(3):488–492, 2006.
pubmed: 16520160
doi: 10.1016/j.jvs.2005.11.026
Labropoulos, N., M. Borge, K. Pierce, and P. J. Pappas. Criteria for defining significant central vein stenosis with duplex ultrasound. Journal of Vascular Surgery. 46(1):101–107, 2007.
pubmed: 17540535
doi: 10.1016/j.jvs.2007.02.062
Bellomo, T. R., G. Goudot, B. Gaston, S. Lella, S. Jessula, N. Sumetsky, J. Beardsley, S. Patel, C. Fischetti, N. Zacharias, et al. Popliteal artery aneurysm ultrasound criteria for reporting characteristics. Vascular Medicine. 29(1):58–63, 2024.
pubmed: 38131163
doi: 10.1177/1358863X231215781
Bruno V Rego, Amir H Khalighi, Andrew Drach, Eric K Lai, Alison M Pouch, Robert C Gorman, Joseph H Gorman, and Michael S Sacks. A noninvasive method for the determination of in vivo mitral valve leaflet strains. International journal for numerical methods in biomedical engineering, 34: e3142, December 2018. ISSN 2040-794 https://doi.org/10.1002/cnm.3142 .
A. I. Veress, J. A. Weiss, R. H. Huesman, B. W. Reutter, S. E. Taylor, A. Sitek, B. Feng, Y. Yang, and G. T. Gullberg. Measuring regional changes in the diastolic deformation of the left ventricle of SHR rats using microPET technology and hyperelastic warping. Annals of Biomedical Engineering, 36 (7): 1104–17, July 2008. ISSN 1521-6047 (Electronic) 0090-6964 (Linking https://doi.org/10.1007/s10439-008-9497-9 . URL http://www.ncbi.nlm.nih.gov/pubmed/18437574 .
A. I. Veress, J. A. Weiss, G. T. Gullberg, D. G. Vince, and R. D. Rabbitt. Strain measurement in coronary arteries using intravascular ultrasound and deformable images. Journal of Biomechanical Engineering, 124 (6): 734–41, December 2002. ISSN 0148-0731 (Print) 0148-0731 (Linking). URL http://www.ncbi.nlm.nih.gov/pubmed/12596642 .
Hu, J.-J., T. W. Fossum, M. W. Miller, H. Xu, J.-C. Liu, and J. D. Humphrey. Biomechanics of the porcine basilar artery in hypertension. Annals of Biomedical Engineering. 35:19–29, 2007.
pubmed: 17066325
doi: 10.1007/s10439-006-9186-5
Gutierrez, J., R. L. Sacco, and C. B. Wright. Dolichoectasia-an evolving arterial disease. Nature Reviews Neurology. 7(1):41–50, 2011.
pubmed: 21221115
doi: 10.1038/nrneurol.2010.181
Raghavan, M. L., B. Ma, and R. E. Harbaugh. Quantified aneurysm shape and rupture risk. Journal of Neurosurgery. 102(2):355–362, 2005.
pubmed: 15739566
doi: 10.3171/jns.2005.102.2.0355
Cecchi, E., C. Giglioli, S. Valente, C. Lazzeri, G. F. Gensini, R. Abbate, and L. Mannini. Role of hemodynamic shear stress in cardiovascular disease. Atherosclerosis. 214(2):249–256, 2011.
pubmed: 20970139
doi: 10.1016/j.atherosclerosis.2010.09.008
UCAS Japan Investigators. The natural course of unruptured cerebral aneurysms in a Japanese cohort. New England Journal of Medicine. 366(26):2474–2482, 2012.
doi: 10.1056/NEJMoa1113260
Dhar, S., M. Tremmel, J. Mocco, M. Kim, J. Yamamoto, A. H. Siddiqui, L. N. Hopkins, and H. Meng. Morphology parameters for intracranial aneurysm rupture risk assessment. Neurosurgery. 63(2):185–197, 2008.
pubmed: 18797347
doi: 10.1227/01.NEU.0000316847.64140.81
Isaksen, J. G., Y. Bazilevs, T. Kvamsdal, Y. Zhang, J. H. Kaspersen, K. Waterloo, B. Romner, and T. Ingebrigtsen. Determination of wall tension in cerebral artery aneurysms by numerical simulation. Stroke. 39(12):3172–3178, 2008.
pubmed: 18818402
doi: 10.1161/STROKEAHA.107.503698
Nixon, A. M., M. Gunel, and B. E. Sumpio. The critical role of hemodynamics in the development of cerebral vascular disease: a review. Journal of Neurosurgery. 112(6):1240–1253, 2010.
pubmed: 19943737
doi: 10.3171/2009.10.JNS09759