LEADER 04303nam 22009973a 450 001 9910367756403321 005 20250203235430.0 010 $a9783039212002 010 $a3039212001 024 8 $a10.3390/books978-3-03921-200-2 035 $a(CKB)4100000010106153 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/61482 035 $a(ScCtBLL)8e20122e-9085-4ba5-8c76-9d1b302c7892 035 $a(OCoLC)1163842411 035 $a(EXLCZ)994100000010106153 100 $a20250203i20192019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aUltrasound B-Mode Imaging : $eBeamforming and Image Formation Techniques /$fGiulia Matrone, Alessandro Ramalli, Piero Tortoli 210 1$aBasel, Switzerland :$cMDPI,$d2019. 215 $a1 electronic resource (146 p.) 311 08$a9783039211999 311 08$a3039211994 330 $aUltrasound medical imaging stands out among the other diagnostic imaging modalities for its patient-friendliness, high temporal resolution, low cost, and absence of ionizing radiation. On the other hand, it may still suffer from limited detail level, low signal-to-noise ratio, and narrow field-of-view. In the last decade, new beamforming and image reconstruction techniques have emerged which aim at improving resolution, contrast, and clutter suppression, especially in difficult-to-image patients. Nevertheless, achieving a higher image quality is of the utmost importance in diagnostic ultrasound medical imaging, and further developments are still indispensable. From this point of view, a crucial role can be played by novel beamforming techniques as well as by non-conventional image formation techniques (e.g., advanced transmission strategies, and compounding, coded, and harmonic imaging). This Special Issue includes novel contributions on both ultrasound beamforming and image formation techniques, particularly addressed at improving B-mode image quality and related diagnostic content. This indeed represents a hot topic in the ultrasound imaging community, and further active research in this field is expected, where many challenges still persist. 610 $asignal-to-noise ratio (SNR) 610 $amulti-perspective ultrasound imaging 610 $adictionary learning 610 $acommon carotid artery 610 $aspatial resolution 610 $acontrast enhancement 610 $asparse representation 610 $aPMUT linear array 610 $aK-singular value decomposition 610 $atime resolution 610 $acardiac imaging 610 $acoded excitation 610 $aplane wave 610 $abeam pattern 610 $agrating lobe suppression 610 $aspatial coherence 610 $asubcutaneous fat layer 610 $acylindrical scanning 610 $aparallel beam forming 610 $amicrobubble 610 $aMR-visible fiducial marker 610 $aultrasonic imaging 610 $aspeckle reduction 610 $amulti-line transmission 610 $aMRI 610 $aadaptive beamforming 610 $asuper-resolution 610 $afiltered-delay multiply and sum beamforming 610 $aB-mode imaging 610 $amedical ultrasound 610 $aintima-media complex longitudinal motion 610 $asynthetic aperture 610 $aquantitative parametrization 610 $aarterial wall motion 610 $apth root 610 $abeam forming 610 $amedical image processing 610 $acrosstalk artifacts 610 $aultrasound imaging 610 $adiverging wave 610 $a1-3 piezocomposite material 610 $adynamic focusing 610 $amulti-line acquisition 610 $aimage reconstruction 610 $aplane wave imaging 610 $aultrasound 610 $amulti-line transmit 610 $areconstruction 610 $athyroid imaging 610 $abeamforming 700 $aMatrone$b Giulia$01787926 702 $aRamalli$b Alessandro 702 $aTortoli$b Piero 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910367756403321 996 $aUltrasound B-Mode Imaging$94322005 997 $aUNINA