3-D Perfusion Imaging Using Principal Curvature Detection Rendering.
IEEE Trans Ultrason Ferroelectr Freq Control
; 65(12): 2286-2295, 2018 12.
Article
in En
| MEDLINE
| ID: mdl-30004872
ABSTRACT
Three-dimensional contrast-enhanced ultrasound (CEUS) imaging presents a clear advantage over its 2-D counterpart in detecting and characterizing suspicious lesions as it properly surveys the inherent heterogeneity of tumors. However, 3-D CEUS is also slow compared to 2-D CEUS and tends to undersample the microbubble wash-in. This makes it difficult to resolve the feeding vessels, an important oncogenic marker, from the background perfusion cloud. Contrast-enhanced Doppler is helpful in isolating this conduit flow, but requires too many pulses in conventional line-by-line beamforming design. Recent breakthroughs in plane-wave imaging have greatly accelerated the volumetric imaging frame rate, but volumetric Doppler angiography still remains challenging when considering real-time limitations on the Doppler ensemble length. In this work, we demonstrate the feasibility of volumetric CEUS angiography subjected to real-time imaging constraints. Namely, we show how principal curvature detection can significantly improve 3-D rendering of relatively noisy ultrasound angiograms without degrading the spatial resolution while subjected to a reasonable Doppler ensemble size. Singular value decomposition is also shown to be capable of identifying the quasi-stationary capillary perfusion.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Angiography
/
Ultrasonography, Doppler
/
Imaging, Three-Dimensional
Type of study:
Diagnostic_studies
Limits:
Animals
Language:
En
Journal:
IEEE Trans Ultrason Ferroelectr Freq Control
Journal subject:
MEDICINA NUCLEAR
Year:
2018
Type:
Article