Acknowledgement
The authors would like to thank Munyoung Paek for technical support for MRI provided throughout this project.
References
- Donoho DL. Compressed sensing. IEEE Transactions on Information Theory 2006;52:1289-1306 https://doi.org/10.1109/TIT.2006.871582
- Lustig M, Donoho D, Pauly JM. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 2007;58:1182-1195 https://doi.org/10.1002/mrm.21391
- Lustig M, Donoho DL, Santos JM, Pauly JM. Compressed sensing MRI. IEEE Signal Processing Magazine 2008;25:72-82 https://doi.org/10.1109/MSP.2007.914728
- Sandino CM, Cheng JY, Chen F, Mardani M, Pauly JM, Vasanawala SS. Compressed sensing: from research to clinical practice with deep neural networks. IEEE Signal Process Mag 2020;37:117-127 https://doi.org/10.1109/MSP.2019.2950433
- Yoon JH, Nickel MD, Peeters JM, Lee JM. Rapid imaging: recent advances in abdominal MRI for reducing acquisition time and its clinical applications. Korean J Radiol 2019;20:1597-1615 https://doi.org/10.3348/kjr.2018.0931
- Park CJ, Cha J, Ahn SS, Choi HS, Kim YD, Nam HS, et al. Contrast-enhanced high-resolution intracranial vessel wall MRI with compressed sensing: comparison with conventional T1 volumetric isotropic turbo spin echo acquisition sequence. Korean J Radiol 2020;21:1334-1344 https://doi.org/10.3348/kjr.2020.0128
- Taron J, Weiss J, Notohamiprodjo M, Kuestner T, Bamberg F, Weiland E, et al. Acceleration of magnetic resonance cholangiopancreatography using compressed sensing at 1.5 and 3 T: a clinical feasibility study. Invest Radiol 2018;53:681-688 https://doi.org/10.1097/RLI.0000000000000489
- Zhu L, Wu X, Sun Z, Jin Z, Weiland E, Raithel E, et al. Compressed-sensing accelerated 3-dimensional magnetic resonance cholangiopancreatography: application in suspected pancreatic diseases. Invest Radiol 2018;53:150-157 https://doi.org/10.1097/RLI.0000000000000421
- Zhu L, Xue H, Sun Z, Qian T, Weiland E, Kuehn B, et al. Modified breath-hold compressed-sensing 3D MR cholangiopancreatography with a small field-of-view and high resolution acquisition: clinical feasibility in biliary and pancreatic disorders. J Magn Reson Imaging 2018;48:1389-1399 https://doi.org/10.1002/jmri.26049
- Yoon JH, Lee SM, Kang HJ, Weiland E, Raithel E, Son Y, et al. Clinical feasibility of 3-dimensional magnetic fesonance cholangiopancreatography using compressed sensing: comparison of image quality and diagnostic performance. Invest Radiol 2017;52:612-619 https://doi.org/10.1097/RLI.0000000000000380
- Chandarana H, Doshi AM, Shanbhogue A, Babb JS, Bruno MT, Zhao T, et al. Three-dimensional MR cholangiopancreatography in a breath hold with sparsity-based reconstruction of highly undersampled data. Radiology 2016;280:585-594 https://doi.org/10.1148/radiol.2016151935
- Song JS, Kim SH, Kuehn B, Paek MY. Optimized breath-hold compressed-sensing 3D MR cholangiopancreatography at 3T: image quality analysis and clinical feasibility assessment. Diagnostics (Basel) 2020;10:376
- Kim JH, Yoon JH, Bae JS, Park S, Han S, Lee JM. Multiarterial phase acquisition in gadoxetic acid-enhanced liver MRI for the detection of hypervascular hepatocellular carcinoma in high-risk patients: comparison of compressed sensing versus view sharing techniques. Invest Radiol 2023;58:139-147 https://doi.org/10.1097/RLI.0000000000000910
- Yoon JK, Kim MJ, Lee S. Compressed sensing and parallel imaging for double hepatic arterial phase acquisition in gadoxetate-enhanced dynamic liver magnetic resonance imaging. Invest Radiol 2019;54:374-382 https://doi.org/10.1097/RLI.0000000000000548
- Kim J, Seo N, Bae H, Kang EA, Kim E, Chung YE, et al. Comparison of sensitivity encoding (SENSE) and compressed sensing-SENSE for contrast-enhanced T1-weighted imaging in patients with crohn disease undergoing MR enterography. AJR Am J Roentgenol 2022;218:678-686 https://doi.org/10.2214/AJR.21.26733
- Yoon JH, Yu MH, Chang W, Park JY, Nickel MD, Son Y, et al. Clinical feasibility of free-breathing dynamic T1-weighted imaging with gadoxetic acid-enhanced liver magnetic resonance imaging using a combination of variable density sampling and compressed sensing. Invest Radiol 2017;52:596-604 https://doi.org/10.1097/RLI.0000000000000385
- Park SH, Yoon JH, Park JY, Shim YS, Lee SM, Choi SJ, et al. Performance of free-breathing dynamic T1-weighted sequences in patients at risk of developing motion artifacts undergoing gadoxetic acid-enhanced liver MRI. Eur Radiol 2023;33:4378-4388 https://doi.org/10.1007/s00330-022-09336-8
- Yoon S, Shim YS, Park SH, Sung J, Nickel MD, Kim YJ, et al. Hepatobiliary phase imaging in cirrhotic patients using compressed sensing and controlled aliasing in parallel imaging results in higher acceleration. Eur Radiol 2023 Sep 21. [Epub]. https://doi.org/10.1007/s00330-023-10226-w
- Choi MH, Kim B, Han D, Lee YJ. Compressed sensing for breath-hold high-resolution hepatobiliary phase imaging: image noise, artifact, biliary anatomy evaluation, and focal lesion detection in comparison with parallel imaging. Abdom Radiol (NY) 2022;47:133-142 https://doi.org/10.1007/s00261-021-03290-7
- Nam JG, Lee JM, Lee SM, Kang HJ, Lee ES, Hur BY, et al. High acceleration three-dimensional T1-weighted dual echo dixon hepatobiliary phase imaging using compressed sensing-sensitivity encoding: comparison of image quality and solid lesion detectability with the standard T1-weighted sequence. Korean J Radiol 2019;20:438-448 https://doi.org/10.3348/kjr.2018.0310