Intravascular Ultrasound Imaging with Virtual Source Synthetic Aperture (VSSA) focusing and Coherence Factor Weighting (CFW)
2017
Online
unknown
Zugriff:
Intravascular ultrasound (IVUS) has been frequently used for coronary artery imaging clinically. More importantly, IVUS is the fundamental image modality for most advanced multimodality intravascular imaging techniques since it provides a more comprehensive picture of vessel anatomy on which other imaging data can be superimposed. However, image quality in the deeper region is poor because of the downgraded lateral resolution and contrast-to-noise ratio. In this study, we report on the application of an ultrasound beamforming method that combines virtual source synthetic aperture (VSSA) focusing and coherence factor weighting (CFW) to improve the IVUS image quality. The natural focal point of conventional IVUS transducer was treated as a virtual source that emits spherical waves within a certain region. Mono-static synthetic aperture focusing was conducted to achieve higher resolution. Coherence factor was calculated using delayed RF signals and applied to the synthesized beam to increase the contrast-to-noise ratio (CNR) and focusing quality. The proposed method was tested through simulations in Field II and imaging experiments in both linear and rotational scans. The lateral resolution for linear scan mode is improved from 165–524 μm to 126–143μm; resolution for rotational scan mode improves by up to 42%. CNR improvement by up to 1.5 was observed on the anechoic cysts of different sizes and at different locations. Herein, it is demonstrated that the beamforming method which combines VSSA and CFW can significantly improve the IVUS imaging quality. This approach can be readily integrated into the current IVUS imaging system for enhanced clinical diagnosis.
Titel: |
Intravascular Ultrasound Imaging with Virtual Source Synthetic Aperture (VSSA) focusing and Coherence Factor Weighting (CFW)
|
---|---|
Autor/in / Beteiligte Person: | Zhou, Qifa ; Ma, Teng ; Yu, Mingyue ; K. Kirk Shung ; Li, Yang |
Link: | |
Veröffentlichung: | 2017 |
Medientyp: | unknown |
Schlagwort: |
|
Sonstiges: |
|