Optimizing Image Quality When Evaluating Blood Flow at Doppler US: A Tutorial
| Autor: | Margarita V. Revzin, Nariman Nezami, Amir Imanzadeh, Christine O. Menias, Michael Spektor, John S. Pellerito, Adel Mustafa, Sarvenaz Pourjabbar |
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| Rok vydání: | 2019 |
| Předmět: |
business.industry
Image quality Ultrasonography Doppler Blood flow Image Enhancement 030218 nuclear medicine & medical imaging 03 medical and health sciences symbols.namesake 0302 clinical medicine 030220 oncology & carcinogenesis Vascular flow Hemorheology symbols Humans Medicine Radiology Nuclear Medicine and imaging Doppler ultrasound Ultrasonography business Doppler effect Blood Flow Velocity Biomedical engineering |
| Zdroj: | RadioGraphics. 39:1501-1523 |
| ISSN: | 1527-1323 0271-5333 |
| DOI: | 10.1148/rg.2019180055 |
| Popis: | Doppler US is an essential component of nearly all diagnostic US procedures. In this era of increased awareness of the effects of ionizing radiation and the side effects of iodine- and gadolinium-based contrast agents, Doppler US is poised to play an even bigger role in medical imaging. It is safe, cost-effective, portable, and highly accurate when performed by an experienced operator. The sensitivities and specificities of Doppler US for detecting blood flow and determining the direction and velocity of blood flow in various organs and vascular systems have increased dramatically in the past decade. With use of advanced flow techniques that are available for use with most modern equipment, US can provide vascular information that is comparable to or even more accurate than that obtained with other cross-sectional and interventional modalities. However, there remains concern that US (including newer more advanced flow-evaluating techniques) will not be used to its full potential owing to dependence on operator skill and expertise. Thorough understanding of image optimization techniques and expanded knowledge of the physical principles, instrumentation, application, advantages, and limitations of this modality are of utmost importance. The authors provide a simple practical guide for optimizing images for vascular flow detection by reviewing various cases and focusing on the parameters that should be optimized. |
| Databáze: | OpenAIRE |
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