2016
DOI: 10.1002/mrm.26467
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Hybrid MRI‐Ultrasound acquisitions, and scannerless real‐time imaging

Abstract: Purpose To combine MRI, ultrasound and computer science methodologies toward generating MRI contrast at the high frame rates of ultrasound, inside and even outside the MRI bore. Methods A small transducer, held onto the abdomen with an adhesive bandage, collected ultrasound signals during MRI. Based on these ultrasound signals and their correlations with MRI, a machine-learning algorithm created synthetic MR images at frame rates up to 100 per second. In one particular implementation volunteers were taken ou… Show more

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Cited by 17 publications
(45 citation statements)
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“…The results also illustrated the accuracy of the estimated SI liver motion; the MAE ranged between 0.8 mm and 1.9 mm for the 3 regression models. The results demonstrated performances consistent with previous research studies on the liver using external markers, ultrasound and accelerometers as a surrogate . Additionally, Lasso generally outperformed MVR and Ridge in the overall estimation accuracy.…”
Section: Discussionmentioning
confidence: 99%
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“…The results also illustrated the accuracy of the estimated SI liver motion; the MAE ranged between 0.8 mm and 1.9 mm for the 3 regression models. The results demonstrated performances consistent with previous research studies on the liver using external markers, ultrasound and accelerometers as a surrogate . Additionally, Lasso generally outperformed MVR and Ridge in the overall estimation accuracy.…”
Section: Discussionmentioning
confidence: 99%
“…However, the two requirements are usually contradictory. For instance, MRI offers high image quality (contrast and spatial resolution) at a low update rate, whereas ultrasound offers the opposite . For liver interventions, the soft tissue contrast in MRI makes it the preferable modality .…”
Section: Introductionmentioning
confidence: 99%
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