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    المؤلفون: Jin, Felix Q.1 (AUTHOR) felix.jin@duke.edu, Rouze, Ned C.1 (AUTHOR), Nightingale, Kathryn R.1 (AUTHOR), Palmeri, Mark L.1 (AUTHOR)

    المصدر: Journal of the Acoustical Society of America. Dec2024, Vol. 156 Issue 6, p3821-3837. 17p.

    مصطلحات موضوعية: *MODULUS of rigidity, *WAVE analysis, *SHEAR waves, *COMPRESSIBILITY, *TISSUES

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    المساهمون: NIH

    المصدر: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control ; volume 64, issue 1, page 164-176 ; ISSN 0885-3010 1525-8955

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    وصف الملف: application/pdf

    Relation: Palmeri, Mark L.; Milkowski, Andy; Barr, Richard; Carson, Paul; Couade, Mathieu; Chen, Jun; Chen, Shigao; Dhyani, Manish; Ehman, Richard; Garra, Brian; Gee, Albert; Guenette, Gilles; Hah, Zaegyoo; Lynch, Ted; Macdonald, Michael; Managuli, Ravi; Miette, Veronique; Nightingale, Kathryn R.; Obuchowski, Nancy; Rouze, Ned C.; Morris, D. Cody; Fielding, Shana; Deng, Yufeng; Chan, Derek; Choudhury, Kingshuk; Yang, Siyun; Samir, Anthony E.; Shamdasani, Vijay; Urban, Matthew; Wear, Keith; Xie, Hua; Ozturk, Arinc; Qiang, Bo; Song, Pengfei; McAleavey, Stephen; Rosenzweig, Stephen; Wang, Michael; Okamura, Yoko; McLaughlin, Glen; Chen, Yuling; Napolitano, David; Carlson, Lindsey; Erpelding, Todd; Hall, Timothy J. (2021). "Radiological Society of North America/Quantitative Imaging Biomarker Alliance Shear Wave Speed Bias Quantification in Elastic and Viscoelastic Phantoms." Journal of Ultrasound in Medicine 40(3): 569-581.; https://hdl.handle.net/2027.42/166433; Journal of Ultrasound in Medicine; Arvazyan A, Rmen PS, Udenko O, et al. Shear wave elasticity imaging: a new ultrasonic technology of medical diagnostics. Ultrasound Med Biol 1998; 24: 1419 – 1435.; 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.; Oliphant TE, Manduca A, Ehman RL, Greenleaf JF. Complex‐valued stiffness reconstruction for magnetic resonance elastography by algebraic inversion of the differential equation. Magn Reson Med 2001; 45: 299 – 310.; Virtanen P, Gommers R, Oliphant TE, et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat Methods 2020; 17: 261 – 272.; National Institute for Health and Care Excellence. Hepatitis B (chronic): diagnosis and management. National Institute for Health and Care Excellence website. https://www.nice.org.uk/guidance/cg165. Accessed February 2018.; Doherty JR, Trahey GE, Nightingale KR, Palmeri ML. Acoustic radiation force elasticity imaging in diagnostic ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control 2013; 60: 685 – 701.; Barr RG, Ferraioli G, Palmeri ML, et al. Elastography assessment of liver fibrosis: Society of Radiologists in Ultrasound consensus conference statement. Radiology 2015; 276: 845 – 861.; Manduca A, Oliphant TE, Dresner MA, et al. Magnetic resonance elastography: non‐invasive mapping of tissue elasticity. Med Image Anal 2001; 5: 237 – 254.; Seabold S, Perktold J. Statsmodels: econometric and statistical modeling with Python. SciPy 2010 website; 2010; 1: 92 – 96.; Deng Y, Rouze NC, Palmeri ML, Nightingale KR. On system‐dependent sources of uncertainty and bias in ultrasonic quantitative shear‐wave imaging. IEEE Trans Ultrason Ferroelectr Freq Control 2016; 63: 381 – 393.; Zhao H, Song P, Urban MW, et al. Bias observed in time‐of‐flight shear wave speed measurements using radiation force of a focused ultrasound beam. Ultrasound Med Biol 2011; 37: 1884 – 1892.; Morris DC, Rouze NC, Palmeri ML, Nightingale KR. Group shear wave based viscoelastic parameter estimation in SWEI: analysis of sources of bias. Proceedings of the 2017 IEEE International Ultrasonics Symposium. Piscataway, NJ: Institute of Electrical and Electronics Engineers; 2017: 1 ‐ 4.; Palmeri ML, Wang MH, Rouze NC, et al. Noninvasive evaluation of hepatic fibrosis using acoustic radiation force–based shear stiffness in patients with nonalcoholic fatty liver disease. J Hepatol 2011; 55: 666 – 672.; Deng Y, Rouze NC, Palmeri ML, Nightingale KR. Ultrasonic shear wave elasticity imaging sequencing and data processing using a Verasonics research scanner. IEEE Trans Ultrason Ferroelectr Freq Control 2017; 64: 164 – 176.; Radiological Society of North America. QIBA profile: ultrasound measurement of shear wave speed for estimation of liver fibrosis. Quantitative Imaging Biomarker Alliance, profile stage: public comment. Radiological Society of North America website. http://qibawiki.rsna.org/index.php/Profiles. Accessed October 2019.; Venkatesh SK, Yin M, Ehman RL. Magnetic resonance elastography of liver: technique, analysis, and clinical applications. J Magn Reson Imaging 2013; 37: 544 – 555.; Hall TJ, Milkowski A, Garra B, et al. RSNA/QIBA: Shear wave speed as a biomarker for liver fibrosis staging. Proceedings of the 2013 IEEE International Ultrasonics Symposium. Prague, Czechia: Institute of Electrical and Electronics Engineers; 2013:397–400.; Palmeri ML, Deng Y, Rouze NC, Nightingale KR. Dependence of shear wave spectral content on acoustic radiation force excitation duration and spatial beamwidth. Proceedings of the 2014 IEEE International Ultrasonics Symposium. Piscataway, NJ: Institute of Electrical and Electronics Engineers; 2014: 1105 ‐ 1108.; Rouze NC, Deng Y, Trutna CA, Palmeri ML, Nightingale KR. Characterization of viscoelastic materials using group shear wave speeds. IEEE Trans Ultrason Ferroelectr Freq Control 2018; 65: 780 – 794.; Palmeri ML, Qiang B, Chen S, Urban MW. Guidelines for finite‐element modeling of acoustic radiation force–induced shear wave propagation in tissue‐mimicking media. IEEE Trans Ultrason Ferroelectr Freq Control 2017; 64: 78 – 92.; Long Z, Tradup DJ, Song P, et al. Clinical acceptance testing and scanner comparison of ultrasound shear wave elastography. J Appl Clin Med Phys 2018; 19: 336 – 342.; Nadebaum DP, Sood S, Gibson RN. Variability of liver shear wave measurements using a new ultrasound elastographic technique. J Ultrasound Med 2017; 37: 647 – 656.; Ferraioli G, De Silvestri A, Lissandrin R, et al. Evaluation of inter‐system variability in liver stiffness measurements. Ultraschall Med 2019; 40: 64 – 75.

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