Deformability of ascending thoracic aorta aneurysms assessed using ultrafast ultrasound and a principal strain estimator: In vitro evaluation and in vivo feasibility.


Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
Mar 2022
Historique:
revised: 23 12 2021
received: 15 07 2021
accepted: 24 12 2021
pubmed: 20 1 2022
medline: 11 3 2022
entrez: 19 1 2022
Statut: ppublish

Résumé

Noninvasive vascular strain imaging under conventional line-by-line scanning has a low frame rate and lateral resolution and depends on the coordinate system. It is thus affected by high deformations due to image decorrelation between frames. To develop an ultrafast time-ensemble regularized tissue-Doppler optical-flow principal strain estimator for aorta deformability assessment in a long-axis view. This approach alleviated the impact of lateral resolution using image compounding and that of the coordinate system dependency using principal strain. Accuracy and feasibility were evaluated in two aorta-mimicking phantoms first, and then in four age-matched individuals with either a normal aorta or a pathological ascending thoracic aorta aneurysm (TAA). Instantaneous aortic maximum and minimum principal strain maps and regional accumulated strains during each cardiac cycle were estimated at systolic and diastolic phases to characterize the normal aorta and TAA. In vitro, principal strain results matched sonomicrometry measurements. In vivo, a significant decrease in maximum and minimum principal strains was observed in TAA cases, whose range was respectively 7.9 ± 6.4% and 8.2 ± 2.6% smaller than in normal aortas. The proposed principal strain estimator showed an ability to potentially assess TAA deformability, which may provide an individualized and reliable evaluation method for TAA rupture risk assessment.

Sections du résumé

BACKGROUND BACKGROUND
Noninvasive vascular strain imaging under conventional line-by-line scanning has a low frame rate and lateral resolution and depends on the coordinate system. It is thus affected by high deformations due to image decorrelation between frames.
PURPOSE OBJECTIVE
To develop an ultrafast time-ensemble regularized tissue-Doppler optical-flow principal strain estimator for aorta deformability assessment in a long-axis view.
METHODS METHODS
This approach alleviated the impact of lateral resolution using image compounding and that of the coordinate system dependency using principal strain. Accuracy and feasibility were evaluated in two aorta-mimicking phantoms first, and then in four age-matched individuals with either a normal aorta or a pathological ascending thoracic aorta aneurysm (TAA).
RESULTS RESULTS
Instantaneous aortic maximum and minimum principal strain maps and regional accumulated strains during each cardiac cycle were estimated at systolic and diastolic phases to characterize the normal aorta and TAA. In vitro, principal strain results matched sonomicrometry measurements. In vivo, a significant decrease in maximum and minimum principal strains was observed in TAA cases, whose range was respectively 7.9 ± 6.4% and 8.2 ± 2.6% smaller than in normal aortas.
CONCLUSIONS CONCLUSIONS
The proposed principal strain estimator showed an ability to potentially assess TAA deformability, which may provide an individualized and reliable evaluation method for TAA rupture risk assessment.

Identifiants

pubmed: 35045186
doi: 10.1002/mp.15464
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1759-1775

Subventions

Organisme : Collaborative Health Research Program of the Natural Sciences and Engineering Research Council of Canada
ID : CHRP-462240-2014
Organisme : CIHR
ID : CPG-134748
Pays : Canada
Organisme : Fonds Québécois de Recherche sur la Nature et les Technologies
ID : FQRNT-PR-189822
Organisme : CIHR
ID : CPG-134748
Pays : Canada

Informations de copyright

© 2022 American Association of Physicists in Medicine.

Références

Forsdahl SH, Singh K, Jacobsen BK. Risk factors for abdominal aortic aneurysms. Circulation. 2009;119(16):2202-2208.
Nandlall SD, Konofagou EE. Assessing the stability of aortic aneurysms with pulse wave imaging. Radiology. 2016;281(3):772-781.
Moll FL, Powell JT, Fraedrich G, et al. Management of abdominal aortic aneurysms clinical practice guidelines of the European society for vascular surgery. Eur J Vasc Endovasc Surg. 2011;41:S1-S58.
Centers for Disease Control and Prevention, National Center for Health Statistics. Underlying cause of death, 1999-2017 on CDC WONDER online database. 2019. Available on line: http://wonder.cdc.gov/ucd-icd10.html
Roth GA, Abate D, Abate KH, et al. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736-1788.
van Disseldorp EM, Petterson NJ, van de Vosse FN, van Sambeek MR, Lopata RG. Quantification of aortic stiffness and wall stress in healthy volunteers and abdominal aortic aneurysm patients using time-resolved 3D ultrasound: a comparison study. Eur Heart J Cardiovasc Imaging. 2018;20(2):185-191.
Sulejmani F, Pokutta-Paskaleva A, Ziganshin B, et al. Biomechanical properties of the thoracic aorta in Marfan patients. Annals of Cardiothoracic Surgery. 2017;6(6):610-624.
Chirinos JA. Arterial stiffness: basic concepts and measurement techniques. J Cardiovasc Transl Res. 2012;5(3):243-255.
Luo J, Konofagou EE. A fast normalized cross-correlation calculation method for motion estimation. IEEE Trans Ultrason Ferroelectr Freq Control. 2010;57(6):1347-1357.
Hoffmann S, Mogelvang R, Olsen NT, et al. Tissue Doppler echocardiography reveals distinct patterns of impaired myocardial velocities in different degrees of coronary artery disease. Eur J Echocardiogr. 2010;11(6):544-549.
Zakaria T, Qin Z, Maurice RL. Optical-flow-based B-mode elastography: application in the hypertensive rat carotid. IEEE Trans Med Imaging. 2010;29(2):570-578.
Barjatya A. Block matching algorithms for motion estimation. IEEE Trans Evol Comput. 2004;8(3):225-239.
Golemati S, Gastounioti A, Nikita KS. Ultrasound-image-based cardiovascular tissue motion estimation. IEEE Rev Biomed Eng. 2016;9:208-218.
Tavakoli V, Bhatia N, Longaker RA, Stoddard MF, Amini AA. Tissue Doppler imaging optical flow (TDIOF): a combined B-mode and tissue Doppler approach for cardiac motion estimation in echocardiographic images. IEEE Trans Biomed Eng. 2014;61(8):2264-2277.
Maurice RL, Ohayon J, Fretigny Y, Bertrand M, Soulez G, Cloutier G. Noninvasive vascular elastography: theoretical framework. IEEE Trans Med Imaging. 2004;23(2):164-180.
Kallel F, Ophir J. A least-squares strain estimator for elastography. Ultrason Imaging. 1997;19(3):195-208.
Richards MS, Doyley MM. Investigating the impact of spatial priors on the performance of model-based IVUS elastography. Phys Med Biol. 2011;56(22):7223-7246.
Li H, Porée J, Roy Cardinal MH, Cloutier G. Two-dimensional affine model-based estimators for principal strain vascular ultrasound elastography with compound plane wave and transverse oscillation beamforming. Ultrasonics. 2019;91:77-91.
Joos P, Porée J, Liebgott H, et al. High-frame-rate speckle tracking echocardiography. IEEE Trans Ultrason Ferroelectr Freq Control. 2018;65(5):720-728.
D'hooge J, Barbosa D, Gao H, et al. Two-dimensional speckle tracking echocardiography: standardization efforts based on synthetic ultrasound data. Eur Heart J Cardiovasc Imaging. 2015;17(6):693-701.
Porée J, Baudet M, Tournoux F, Cloutier G, Garcia D. A dual tissue-doppler optical-flow method for speckle tracking echocardiography at high-frame-rate. IEEE Trans Med Imaging. 2018;37(9):2022-2032.
Nayak R, Schifitto G, Doyley MM. Visualizing angle-independent principal strains in the longitudinal view of the carotid artery: phantom and in vivo evaluation. Ultrasound Med Biol. 2018;44(7):1379-1391.
Nayak R, Huntzicker S, Ohayon J, et al. Principal strain vascular elastography: simulation and preliminary clinical evaluation. Ultrasound Med Biol. 2017;43(3):682-699.
Cupps BP, Pomerantz BJ, Krock MD, et al. Principal strain orientation in the normal human left ventricle. Ann Cardiothorac Surg. 2005;79(4):1338-1343.
Meshram NH, Mitchell CC, Wilbrand SM, Dempsey RJ, Varghese T. In vivo carotid strain imaging using principal strains in longitudinal view. Biomedical Physics Engineering Express. 2019;5(3):035030.
Hansen HHG, Saris AECM, Vaka NR, Nillesen MM, de Korte CL. Ultrafast vascular strain compounding using plane wave transmission. J Biomech. 2014;47(4):815-823.
Porée J, Garcia D, Chayer B, Ohayon J, Cloutier G. Noninvasive vascular elastography with plane strain incompressibility assumption using ultrafast coherent compound plane wave imaging. IEEE Trans Med Imaging. 2015;34(12):2618-2631.
Grondin J, Sayseng V, Konofagou EE. Cardiac strain imaging with coherent compounding of diverging waves. IEEE Trans Ultrason Ferroelectr Freq Control. 2017;64(8):1212-1222.
Porée J, Posada D, Hodzic A, Tournoux F, Cloutier G, Garcia D. High-frame-rate echocardiography using coherent compounding with doppler-based motion-compensation. IEEE Trans Med Imaging. 2016;35(7):1647-1657.
Fromageau J, Lerouge S, Maurice RL, Soulez G, Cloutier G. Noninvasive vascular ultrasound elastography applied to the characterization of experimental aneurysms and follow-up after endovascular repair. Phys Med Biol. 2008;53(22):6475-6490.
Salloum E, Bertrand-Grenier A, Lerouge S, et al. Endovascular repair of abdominal aortic aneurysm: follow-up with noninvasive vascular elastography in a canine model. Radiology. 2016;279(2):410-419.
Petterson NJ, van Disseldorp EM, van Sambeek MR, van de Vosse FN, Lopata RG. Including surrounding tissue improves ultrasound-based 3D mechanical characterization of abdominal aortic aneurysm. J Biomech. 2019;85(6):126-133.
Lubinski MA, Emelianov SY, Donnell MO. Speckle tracking methods for ultrasonic elasticity imaging using short-time correlation. IEEE Trans Ultrason Ferroelectr Freq Control. 1999;46(1):82-96.
Destrempes F, Meunier J, Giroux MF, Soulez G, Cloutier G. Segmentation in ultrasonic B-mode images of healthy carotid arteries using mixtures of Nakagami distributions and stochastic optimization. IEEE Trans Med Imaging. 2009;28(2):215-229.
Plancherel M, Leffler M. Contribution à ľétude de la représentation d'une fonction arbitraire par des intégrales définies. Rendiconti del Circolo Matematico di Palermo (1884-1940). 1910;30(1):289-335.
Mase GT, Mase GE. Continuum Mechanics for Engineers. London, UK CRC Press 1992:100.
Gautam UC, Pydi YS, Selladurai S, et al. A poly-vinyl alcohol (PVA)-based phantom and training tool for use in simulated transrectal ultrasound (TRUS) guided prostate needle biopsy procedures. Medical Engineering and Physics. 2021;96:46-52.
Fromageau J, Gennisson JI, Schmitt C, Maurice RL, Mongrain R, Cloutier G. Estimation of polyvinyl alcohol cryogel mechanical properties with four ultrasound elastography methods and comparison with gold standard testings. IEEE Trans Ultrason Ferroelectr Freq Control. 2007;54(3):498-509.
Hodzic A, Chayer B, Wang D, et al. Accuracy of speckle tracking in the context of stress echocardiography in short axis view: an in vitro validation study. PLoS One. 2018;13(3):e0193805.
Ouared A, Montagnon E, Kazemirad S, Gaboury L, Robidoux A, Cloutier G. Frequency adaptation for enhanced radiation force amplitude in dynamic elastography. IEEE Trans Ultrason Ferroelectr Freq Control. 2015;62(8):1453-1466.
ter Haar G. The Safe Use of Ultrasound in Medical Diagnosis. 3rd ed.. British Institute of Radiology; 2012.
Pinton GF, Dahl JJ, Trahey GE, Rapid tracking of small displacements using ultrasound. Paper presented at: IEEE International Ultrasonics Symposium; 2005;4:2062-2065.
Deprez JF, Brusseau E, Schmitt C, Cloutier G, Basset O. 3D estimation of soft biological tissue deformation from radio-frequency ultrasound volume acquisitions. Med Image Anal. 2009;13(1):116-127.
De Craene M, Marchesseau S, Heyde B, et al. 3D strain assessment in ultrasound (Straus): a synthetic comparison of five tracking methodologies. IEEE Trans Med Imaging. 2013;32(9):1632-1646.
Papadacci C, Bunting EA, Wan E, Nauleau P, Konofagou EE. 3D Myocardial elastography in vivo. IEEE Trans Med Imaging. 2017;36(2):618-627.
Tong L, Ramalli A, Tortoli P, et al. Wide-angle tissue Doppler imaging at high frame rate using multi-line transmit beamforming: an experimental validation in vivo. IEEE Trans Med Imaging. 2016;35(2):521-528.
Nayak R, Schifitto G, Doyley MM. Noninvasive carotid artery elastography using multielement synthetic aperture imaging: phantom and in vivo evaluation. Med Phys. 2017;44(8):4068-4082.
Halushka MK, Angelini A, Bartoloni G, et al. Consensus statement on surgical pathology of the aorta from the Society for Cardiovascular Pathology and the Association For European Cardiovascular Pathology: iI. Noninflammatory degenerative diseases-nomenclature and diagnostic criteria. Cardiovasc Pathol. 2016;25(3):247-257.
Oishi Y, Mizuguchi Y, Miyoshi H, Iuchi A, Nagase N, Oki T. A novel approach to assess aortic stiffness related to changes in aging using a two-dimensional strain imaging. Echocardiography. 2008;25(9):941-945.
Ciurus T, Undas A, Lelonek M. Unexplained thrombosis of the aortic arch with distal embolization in a patient with altered fibrin clot properties. Arch Med Sci. 2012;8(4):733-735.
Thubrikar MJ, Robicsek F, Labrosse M, Chervenkoff V, Fowler BL. Effect of thrombus on abdomnial aortic aneurysm wall dilation and stress. J Cardiovasc Surg. 2003;44(1):66-67.
Siobhan AOL, Kavanagh EG, Grace PA, McGloughlin TM, Barry JD. The biaxial mechanical behaviour of abdominal aortic aneurysm intraluminal thrombus: classification of morphology and the determination of layer and region specific properties. J Biomech. 2014;47(6):1430-1437.

Auteurs

Diya Wang (D)

School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Laboratory of Biorheology and Medical Ultrasonics, Research Center, University of Montreal Hospital, Montreal, QC, Canada.

Boris Chayer (B)

Laboratory of Biorheology and Medical Ultrasonics, Research Center, University of Montreal Hospital, Montreal, QC, Canada.

François Destrempes (F)

Laboratory of Biorheology and Medical Ultrasonics, Research Center, University of Montreal Hospital, Montreal, QC, Canada.

Marc Gesnik (M)

Laboratory of Biorheology and Medical Ultrasonics, Research Center, University of Montreal Hospital, Montreal, QC, Canada.

François Tournoux (F)

Laboratory of Biorheology and Medical Ultrasonics, Research Center, University of Montreal Hospital, Montreal, QC, Canada.
Department of Cardiology, Echocardiography Laboratory, University of Montreal Hospital, Montreal, QC, Canada.

Guy Cloutier (G)

Laboratory of Biorheology and Medical Ultrasonics, Research Center, University of Montreal Hospital, Montreal, QC, Canada.
Department of Radiology, Radio-Oncology and Nuclear Medicine, and Institute of Biomedical Engineering, University of Montreal, Montreal, QC, Canada.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH