Singular value decomposition and 2D crosscorrelation based localization of gas vesicles for super-resolution ultrasound imaging
- Resource Type
- Conference
- Authors
- Kim, Jihun; Hwang, Gyoyeon; Rho, Sunghoon; Yoon, Sangpil
- Source
- 2020 IEEE International Ultrasonics Symposium (IUS) Ultrasonics Symposium (IUS),2020 IEEE International. :1-4 Sep, 2020
- Subject
- Bioengineering
Fields, Waves and Electromagnetics
Signal Processing and Analysis
In vivo
Ultrasonic imaging
Two dimensional displays
Imaging
Acoustics
Nanoscale devices
Singular value decomposition
Super-resolution ultrasound imaging
Contrast agent
Gas vesicles
Nanoscale acoustic biomolecules
- Language
- ISSN
- 1948-5727
We report the potentials of nanometer-sized contrast agents which are called gas vesicles (GVs) for super-resolution ultrasound (SRUS) imaging to diagnose of vasculature deep inside tissue. Thus, we developed the GVs and ultrasound localization microscopy (ULM) based on singular value decomposition and 2D cross-correlation techniques. Furthermore, the SRUS imaging of the vessel-mimicking phantom with the GVs was performed. These results demonstrate that GVs could have potentials as novel contrast agents at nanoscale for implementing the SRUS imaging, thus indicating that ULM with GVs would be used for better visualization of micro-vasculature in vivo.