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Recent technological advancements in cardiac ultrasound imaging.

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Title: Recent technological advancements in cardiac ultrasound imaging.
Authors: Dave, Jaydev K.1 jaydev.dave@jefferson.edu, Mc Donald, Maureen E.2, Mehrotra, Praveen3, Kohut, Andrew R.4, Eisenbrey, John R.1, Forsberg, Flemming1
Source: Ultrasonics. Mar2018, Vol. 84, p329-340. 12p.
Subjects: Cardiovascular disease diagnosis, Diagnostic ultrasonic imaging, Patients, Cardiovascular diseases, Echocardiography, Elastography
Abstract: About 92.1 million Americans suffer from at least one type of cardiovascular disease. Worldwide, cardiovascular diseases are the number one cause of death (about 31% of all global deaths). Recent technological advancements in cardiac ultrasound imaging are expected to aid in the clinical diagnosis of many cardiovascular diseases. This article provides an overview of such recent technological advancements, specifically focusing on tissue Doppler imaging, strain imaging, contrast echocardiography, 3D echocardiography, point-of-care echocardiography, 3D volumetric flow assessments, and elastography. With these advancements ultrasound imaging is rapidly changing the domain of cardiac imaging. The advantages offered by ultrasound imaging include real-time imaging, imaging at patient bed-side, cost-effectiveness and ionizing-radiation-free imaging. Along with these advantages, the steps taken towards standardization of ultrasound based quantitative markers, reviewed here, will play a major role in addressing the healthcare burden associated with cardiovascular diseases. [ABSTRACT FROM AUTHOR]
Copyright of Ultrasonics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="DE" term="%22Cardiovascular+disease+diagnosis%22">Cardiovascular disease diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+ultrasonic+imaging%22">Diagnostic ultrasonic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Patients%22">Patients</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiovascular+diseases%22">Cardiovascular diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Echocardiography%22">Echocardiography</searchLink><br /><searchLink fieldCode="DE" term="%22Elastography%22">Elastography</searchLink>
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  Data: About 92.1 million Americans suffer from at least one type of cardiovascular disease. Worldwide, cardiovascular diseases are the number one cause of death (about 31% of all global deaths). Recent technological advancements in cardiac ultrasound imaging are expected to aid in the clinical diagnosis of many cardiovascular diseases. This article provides an overview of such recent technological advancements, specifically focusing on tissue Doppler imaging, strain imaging, contrast echocardiography, 3D echocardiography, point-of-care echocardiography, 3D volumetric flow assessments, and elastography. With these advancements ultrasound imaging is rapidly changing the domain of cardiac imaging. The advantages offered by ultrasound imaging include real-time imaging, imaging at patient bed-side, cost-effectiveness and ionizing-radiation-free imaging. Along with these advantages, the steps taken towards standardization of ultrasound based quantitative markers, reviewed here, will play a major role in addressing the healthcare burden associated with cardiovascular diseases. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Ultrasonics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.ultras.2017.11.013
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              Text: Mar2018
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