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Enhancing Image Quality Using Advanced Signal Processing Techniques
Author(s) -
Lisa F. Smith,
Andrea Perron,
Angela Persico,
Elena Stravinskas,
Darrin Cournoyea
Publication year - 2008
Publication title -
journal of diagnostic medical sonography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.138
H-Index - 16
eISSN - 8756-4793
pISSN - 1552-5430
DOI - 10.1177/8756479308315231
Subject(s) - sonographer , medicine , image quality , image processing , medical physics , quality (philosophy) , artificial intelligence , second harmonic imaging microscopy , computer vision , image resolution , image (mathematics) , radiology , computer science , ultrasonography , philosophy , epistemology , laser , physics , optics , second harmonic generation
The main expectation of a sonographer is to obtain images of diagnostic quality. This requires the fundamental knowledge of spatial, contrast, and temporal resolution. To help determine which of these parameters needs to be optimized, one needs a well-defined clinical approach. Once satisfactory imaging is achieved, advanced signal processing tools can then be applied to further enhance image quality beyond that of good acoustic windows and tissue paths. Spatial compounding and tissue harmonic imaging are two commonly used tools that have significant clinical relevance in diagnostic sonography. These tools have their own unique applications and benefits, as well as limitations. When used correctly, they have shown to significantly improve image quality, allowing for the possibility of increased accuracy and an improvement in diagnostic confidence.

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