Semiautomated Software to Improve Stability and Reduce Operator-Induced Variation in Vascular Ultrasound Speckle Tracking
dc.contributor.author | Rajaram, Nirmala | |
dc.contributor.author | Thelen, Brian J. | |
dc.contributor.author | Hamilton, James D. | |
dc.contributor.author | Zheng, Yihao | |
dc.contributor.author | Morgan, Timothy | |
dc.contributor.author | Funes-Lora, Miguel Angel | |
dc.contributor.author | Yessayan, Lenar | |
dc.contributor.author | Shih, Albert J. | |
dc.contributor.author | Henke, Peter | |
dc.contributor.author | Osborne, Nicholas | |
dc.contributor.author | Bishop, Brandie | |
dc.contributor.author | Krishnamurthy, Venkataramu N. | |
dc.contributor.author | Weitzel, William F. | |
dc.date.accessioned | 2022-11-09T21:20:30Z | |
dc.date.available | 2023-12-09 16:20:28 | en |
dc.date.available | 2022-11-09T21:20:30Z | |
dc.date.issued | 2022-11 | |
dc.identifier.citation | Rajaram, Nirmala; Thelen, Brian J.; Hamilton, James D.; Zheng, Yihao; Morgan, Timothy; Funes-Lora, Miguel Angel ; Yessayan, Lenar; Shih, Albert J.; Henke, Peter; Osborne, Nicholas; Bishop, Brandie; Krishnamurthy, Venkataramu N.; Weitzel, William F. (2022). "Semiautomated Software to Improve Stability and Reduce Operator- Induced Variation in Vascular Ultrasound Speckle Tracking." Journal of Ultrasound in Medicine 41(11): 2755-2766. | |
dc.identifier.issn | 0278-4297 | |
dc.identifier.issn | 1550-9613 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/175132 | |
dc.publisher | John Wiley & Sons, Inc. | |
dc.subject.other | arteriovenous fistula | |
dc.subject.other | kidney disease | |
dc.subject.other | speckle tracking | |
dc.subject.other | ultrasound | |
dc.subject.other | vascular distensibility | |
dc.subject.other | semiautomated | |
dc.title | Semiautomated Software to Improve Stability and Reduce Operator-Induced Variation in Vascular Ultrasound Speckle Tracking | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Medicine (General) | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/175132/1/jum15960_am.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/175132/2/jum15960.pdf | |
dc.identifier.doi | 10.1002/jum.15960 | |
dc.identifier.source | Journal of Ultrasound in Medicine | |
dc.identifier.citedreference | Fraquelli M, Rigamonti C, Casazza G, et al. Reproducibility of transient elastography in the evaluation of liver fibrosis in patients with chronic liver disease. Gut 2007; 56: 968 – 973. https://doi.org/10.1136/gut.2006.111302. | |
dc.identifier.citedreference | Barr RG, Nakashima K, Amy D, et al. WFUMB guidelines and recommendations for clinical use of ultrasound elastography: part 2: breast. Ultrasound Med Biol 2015; 41: 1148 – 1160. | |
dc.identifier.citedreference | Barr RG, Cosgrove D, Brock M, et al. WFUMB guidelines and recommendations on the clinical use of ultrasound elastography: part 5. Prostate. Ultrasound Med Biol 2017; 43: 27 – 48. | |
dc.identifier.citedreference | Cosgrove D, Barr R, Bojunga J, et al. WFUMB guidelines and recommendations on the clinical use of ultrasound elastography: part 4. Thyroid. Ultrasound Med Biol 2017; 43: 4 – 26. | |
dc.identifier.citedreference | Ferraioli G, Filice C, Castera L, et al. WFUMB guidelines and recommendations for clinical use of ultrasound elastography: part 3: liver. Ultrasound Med Biol 2015; 41: 1161 – 1179. | |
dc.identifier.citedreference | Belmont B, Kessler R, Theyyunni N, et al. Continuous inferior vena cava diameter tracking through an iterative Kanade-Lucas-Tomasi-based algorithm. Ultrasound Med Biol 2018; 44: 2793 – 2801. | |
dc.identifier.citedreference | Park DW, Richards MS, Rubin JM, Hamilton J, Kruger GH, Weitzel WF. Arterial elasticity imaging: comparison of finite-element analysis models with high-resolution ultrasound speckle tracking. Cardiovasc Ultrasound 2010; 8: 22. https://doi.org/10.1186/1476-7120-8-22. | |
dc.identifier.citedreference | Park DW, Kruger GH, Rubin JM, et al. In vivo vascular wall shear rate and circumferential strain of renal disease patients. Ultrasound Med Biol 2013; 39: 241 – 252. | |
dc.identifier.citedreference | Thijssen DHJ, Bruno RM, van Mil ACCM, et al. Expert consensus and evidence-based recommendations for the assessment of flow-mediated dilation in humans. Eur Heart J 2019; 40: 2534 – 2547. | |
dc.identifier.citedreference | Weitzel WF, Kim K, Rubin JM, et al. Renal advances in ultrasound elasticity imaging: measuring the compliance of arteries and kidneys in end-stage renal disease. Blood Purif 2005; 23: 10 – 17. | |
dc.identifier.citedreference | Weitzel WF, Kim K, Henke PK, et al. High-resolution ultrasound speckle tracking may detect vascular mechanical wall changes in peripheral artery bypass vein grafts. Ann Vasc Surg 2009; 23: 201 – 206. | |
dc.identifier.citedreference | Weitzel WF, Rajaram N, Zheng Y, et al. Ultrasound speckle tracking to detect vascular distensibility changes from angioplasty and branch ligation in a radio-cephalic fistula: use of novel open-source software [published online ahead of print sept 26, 2020]. J Vasc Access. https://doi.org/10.1177/1129729820959910. | |
dc.identifier.citedreference | Ittermann T, Richter A, Junge M, et al. Variability of thyroid measurements from ultrasound and Laboratory in a Repeated Measurements Study. Eur Thyroid J 2020; 10: 140 – 149. | |
dc.identifier.citedreference | Kishimoto R, Kikuchi K, Koyama A, et al. Intra- and inter-operator reproducibility of US point shear-wave elastography in various organs: evaluation in phantoms and healthy volunteers. Eur Radiol 2019; 29: 5999 – 6008. | |
dc.identifier.citedreference | Sarris I, Ioannou C, Chamberlain P, et al. International fetal and newborn growth consortium for the 21st century (INTERGROWTH-21st). Intra- and interobserver variability in fetal ultrasound measurements. Ultrasound Obstet Gynecol 2012; 39: 266 – 273. | |
dc.identifier.citedreference | Welliver C, Cardona-Grau D, Elebyjian L, et al. Surprising interobserver and intra-observer variability in pediatric testicular ultrasound volumes. J Pediatr Urol 2019; 15: 386.e1 – 386.e6. | |
dc.identifier.citedreference | Liu Z, Bai Z, Huang Z, et al. Interoperator reproducibility of carotid elastography for identification of vulnerable atherosclerotic plaques. IEEE Trans Ultrason Ferroelectr Freq Control 2019; 66: 505 – 516. https://doi.org/10.1109/TUFFC.2018.2888479. | |
dc.identifier.citedreference | Cosgrove DO, Berg WA, Doré CJ, et al. Shear wave elastography for breast masses is highly reproducible. Eur Radiol 2012; 22: 1023 – 1032. https://doi.org/10.1007/s00330-011-2340-y. | |
dc.identifier.citedreference | Yoon JH, Kim MH, Kim EK, Moon HJ, Kwak JY, Kim MJ. Interobserver variability of ultrasound elastography: how it affects the diagnosis of breast lesions. AJR Am J Roentgenol 2011; 196: 730 – 736. https://doi.org/10.2214/AJR.10.4654. | |
dc.identifier.citedreference | Lim DJ, Luo S, Kim MH, Ko SH, Kim Y. Interobserver agreement and intraobserver reproducibility in thyroid ultrasound elastography. AJR Am J Roentgenol 2012; 198: 896 – 901. https://doi.org/10.2214/AJR.11.7009. | |
dc.identifier.citedreference | Milner J, Arezina J. The accuracy of ultrasound estimation of fetal weight in comparison to birth weight: a systematic review. Ultrasound 2018; 26: 32 – 41. | |
dc.identifier.citedreference | Hoefer IE, den Adel B, Daemen MJ. Biomechanical factors as triggers of vascular growth. Cardiovasc Res 2013; 99: 276 – 283. | |
dc.identifier.citedreference | Marques O. Practical Image and Video Processing Using MATLAB. 1st ed. Hoboken, NJ: John Wiley & Sons, Inc.; 2011. | |
dc.identifier.citedreference | McAndrew A. A Computational Introduction to Digital Image Processing. 2nd ed. Boca Raton, FL: Chapman and Hall/CRC; 2016. | |
dc.identifier.citedreference | Antón-Canalís L, Hernández-Tejera M, Sánchez-Nielsen E. AddCanny: edge detector for video processing. In: Blanc-Talon J, Philips W, Popescu D, Scheunders P (eds). Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science. Vol 4179. Berlin, Heidelberg: Springer; 2006. https://doi.org/10.1007/11864349_46. | |
dc.identifier.citedreference | Majumder A, Gopi M. Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing. 1st ed. Boca Raton, FL: Chapman and Hall/CRC; 2018. | |
dc.identifier.citedreference | Middleton L, Sivaswamy J. Hexagonal Image Processing: A Practical Approach. Advances in Computer Vision and Pattern Recognition. 1st ed. London: Springer-Verlag; 2005. | |
dc.identifier.citedreference | Sobel, I and Feldman G. An isotropic 3X# image gradient operator [presentation]. The Stanford Artificial Intelligence Laboratory; 1968. | |
dc.identifier.citedreference | Farnebäck, G. Two-frame motion estimation based on polynomial expansion. Paper presented at Proceedings of the Scandinavian Conference on Image Analysis; 2003; pp. 363–370. https://doi.org/10.1007/3-540-45103-X_50 | |
dc.identifier.citedreference | Van Rossum, G, Drake, FL. Python 3 Reference Manual. Scotts Valley, CA: CreateSpace; 2009. https://www.python.org/ | |
dc.identifier.citedreference | Stergiou GS, Kyriakoulis KG, Stambolliu E, et al. Blood pressure measurement in atrial fibrillation: review and meta-analysis of evidence on accuracy and clinical relevance. J Hypertens 2019; 37: 2430 – 2441. | |
dc.identifier.citedreference | Xie L, Di X, Zhao F, et al. Increased respiratory modulation of blood pressure in hypertensive patients. Front Physiol 2019; 10: 1111. https://doi.org/10.3389/fphys.2019.01111. | |
dc.identifier.citedreference | Reusser M, Hunter KS, Lammer SR, et al. Validation of a pressure diameter method for determining modulus and strain of collagen engagement for long branches of bovine pulmonary arteries. J Biomech Eng 2012; 134: 545011 – 545017. | |
dc.identifier.citedreference | Allon M. Current management of vascular access. Clin J Am Soc Nephrol 2007; 2: 786 – 800. | |
dc.identifier.citedreference | Ravani P, Palmer SC, Oliver MJ, et al. Associations between hemodialysis access type and clinical outcomes: a systematic review. JASN. 2013; 24: 465 – 473. | |
dc.identifier.citedreference | Allon M, Ornt DB, Schwab SJ, et al. Factors associated with the prevalence of arteriovenous fistulas in hemodialysis patients in the HEMO study. Hemodialysis (HEMO) study group. Kidney Int 2000; 58: 2178 – 2185. | |
dc.identifier.citedreference | Siddiqui MA, Ashraff S, Carline T. Maturation of arteriovenous fistula: analysis of key factors. Kidney Res Clin Pract 2017; 36: 318 – 328. | |
dc.identifier.citedreference | Roy-Chaudhury P, Kelly BS, Zhang J, et al. Hemodialysis vascular access dysfunction: from pathophysiology to novel therapies. Blood Purif 2003; 21: 99 – 110. | |
dc.identifier.citedreference | Online United States Renal Data System. 2018 USRDS annual Data Report: Epidemiology of Kidney Disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD. 2018. https://www.usrds.org/annual-data-report/previous-adrs/. Accessed October 7, 2021. | |
dc.identifier.citedreference | Huber TS, Ozaki CK, Flynn TC, et al. Prospective validation of an algorithm to maximize native arteriovenous fistulae for chronic hemodialysis access. J Vasc Surg 2002; 36: 452 – 459. | |
dc.identifier.citedreference | Jemcov TK. Morphologic and functional vessels characteristics assessed by ultrasonography for prediction of radiocephalic fistula maturation. J Vasc Access 2013; 14: 356 – 363. | |
dc.identifier.citedreference | Ladenheim ED, Lulic D, Lum C, et al. First-week postoperative flow measurements are highly predictive of primary patency of radiocephalic arteriovenous fistulas. J Vasc Access 2016; 17: 307 – 312. | |
dc.identifier.citedreference | Siddiqui MA, Ashraff S, Santos D, et al. Predictive parameters of arteriovenous fistula maturation in patients with end-stage renal disease. Kidney Res Clin Pract 2018; 37: 277 – 286. | |
dc.identifier.citedreference | Biswas R, Patel P, Park DW, et al. Venous Elastography: validation of a novel high-resolution ultrasound method for measuring vein compliance using finite element analysis. Seminars in Dialysis. 2010; 23: 105 – 109. | |
dc.identifier.citedreference | Robbin ML, Greene T, Cheung AK, et al. Hemodialysis fistula maturation study group. Arteriovenous fistula development in the first 6 weeks after creation. Radiology 2016; 279: 620 – 629. | |
dc.identifier.citedreference | Robbin ML, Greene T, Allon M, et al. Hemodialysis fistula maturation study group. Prediction of arteriovenous fistula clinical maturation from postoperative ultrasound measurements: findings from the hemodialysis fistula maturation study. J Am Soc Nephrol 2018; 29: 2735 – 2744. | |
dc.identifier.citedreference | Belmont B, Park DW, Weitzel WF, et al. An open-source ultrasound software for diagnosis of fistula maturation. ASAIO J 2018; 64: 70 – 76. | |
dc.identifier.citedreference | Belmont B, Park DW, Shih A, et al. A pilot study to measure vascular compliance changes during fistula maturation using open-source software. J Vasc Access 2019; 20: 41 – 45. | |
dc.identifier.citedreference | Weitzel WF, Rajaram N, Zheng Y, et al. Ultrasound speckle tracking to detect vascular distensibility changes from angioplasty and branch ligation in a radio-cephalic fistula: use of novel open source software [published online ahead of print, 2020 Sep 26]. J Vasc Access 2020. https://doi.org/10.1177/1129729820959910. | |
dc.identifier.citedreference | Weitzel WF, Thelen BJ, Rajaram N, et al. Detecting high-resolution intramural vascular wall strain signals using DICOM data [published online ahead of print may 28, 2021]. ASAIO J. https://doi.org/10.1097/MAT.0000000000001490. | |
dc.identifier.citedreference | Funes-Lora MA, Thelen BJ, Shih AJ, et al. Ultrasound measurement of vascular Distensibility based on edge detection and speckle tracking using ultrasound DICOM data. ASAIO J. 2022; 68: 112 – 121. https://doi.org/10.1097/MAT.0000000000001548. | |
dc.working.doi | NO | en |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.