Ultrasound imaging has been widely used in the clinical diagnosis for the various diseases and lesions. Quantitative ultrasound imaging started as tissue characterization by using physical acoustical properties such as acoustic attenuation coefficient, sound velocity, back scattering coefficient and acoustic nonlinearity parameter. Elastography is one of the successful techniques for tissue characterization. It is classified by the strain imaging and shear wave imaging. These techniques have recently been considered as the quantitative ultrasound imaging including multimodality imaging and transcranial brain imaging.
Medical ultrasound imaging is a useful modality which provides anatomical information noninvasively in real time. On the other hand, the interpretation of clinical ultrasound images is rather dependent on operator’s expertise compared with other modalities. Therefore, tissue characterization and quantification of physiological functions of organs are demanded for objective diagnoses of diseases by means of ultrasound. Diverse studies have been conducted to tackle such problems. This Research Topic aims to accumulate the state-of-the-art technologies on quantitative ultrasound imaging including elastography, measurements of tissue dynamical properties, blood flow imaging, and quantitative analysis of ultrasonic backscattering to elucidate the current status in this research field.
This Research Topic aims to accumulate the state-of-the-art technologies on quantitative ultrasound imaging to elucidate the current status in this research field. The topics of interest include:
- Ultrasound elastography
- Tissue motion analysis for quantification of dynamical property
- Blood flow imaging
- Quantitative analysis of ultrasonic backscattering
- Contrast enhanced ultrasound imaging
- Quantification of acoustic characteristics
We welcome a range of article types, including Original Research, Review, Brief Research Reports, and Mini-Review.
Dr. Jonathan Mamou is affiliated with Riverside Research. The other Topic Editors declare no competing interests with regard to the Research Topic subject.
Ultrasound imaging has been widely used in the clinical diagnosis for the various diseases and lesions. Quantitative ultrasound imaging started as tissue characterization by using physical acoustical properties such as acoustic attenuation coefficient, sound velocity, back scattering coefficient and acoustic nonlinearity parameter. Elastography is one of the successful techniques for tissue characterization. It is classified by the strain imaging and shear wave imaging. These techniques have recently been considered as the quantitative ultrasound imaging including multimodality imaging and transcranial brain imaging.
Medical ultrasound imaging is a useful modality which provides anatomical information noninvasively in real time. On the other hand, the interpretation of clinical ultrasound images is rather dependent on operator’s expertise compared with other modalities. Therefore, tissue characterization and quantification of physiological functions of organs are demanded for objective diagnoses of diseases by means of ultrasound. Diverse studies have been conducted to tackle such problems. This Research Topic aims to accumulate the state-of-the-art technologies on quantitative ultrasound imaging including elastography, measurements of tissue dynamical properties, blood flow imaging, and quantitative analysis of ultrasonic backscattering to elucidate the current status in this research field.
This Research Topic aims to accumulate the state-of-the-art technologies on quantitative ultrasound imaging to elucidate the current status in this research field. The topics of interest include:
- Ultrasound elastography
- Tissue motion analysis for quantification of dynamical property
- Blood flow imaging
- Quantitative analysis of ultrasonic backscattering
- Contrast enhanced ultrasound imaging
- Quantification of acoustic characteristics
We welcome a range of article types, including Original Research, Review, Brief Research Reports, and Mini-Review.
Dr. Jonathan Mamou is affiliated with Riverside Research. The other Topic Editors declare no competing interests with regard to the Research Topic subject.
