Aplio 500
The Aplio 500 is a digital ultrasound system designed for general diagnostic imaging. It features advanced imaging capabilities and is suitable for a variety of clinical applications.
Lab products found in correlation
7 protocols using aplio 500
Gallbladder Ultrasound for Biliary Atresia
Gallbladder Ultrasound Imaging Database
Ultrasound Characterization of Gastric Lesions
In this study, the tumor outline at the largest cross-sectional area was manually drawn to indicate the region of interest (ROI) along the tumor margin using a free open-source software package (ITK-SNAP, version 3.8.0, University of Pennsylvania, Philadelphia, USA).
Breast Lesion Ultrasound Imaging Analysis
In this study, sonographer 1 was responsible for collecting the ultrasound image information of the patients. Preprocessing was carried out using resampling technique, resampling all of the ultrasound images so that they were 1 mm × 1 mm × 1 mm to obviate the disturbances due to the nonuniform spatial resolution. Next, ITK-SNAP software (open source software;
Contrast-enhanced Ultrasound Imaging of Tumors
The patient exposed the abdomen with a supine or lateral position. Firstly, conventional two-dimensional ultrasound was performed to observe the location, size, and shape of the tumors from different angles and the maximum diameter of the tumors was measured. Then CDFI, PDFI, and monochrome SMI were conducted to observe the blood flow in the tumors. The gray-scale gain was 75–90 dB. The measuring scales of CDFI and SMI were 9.8–19.6 cm/s and 1.5–2.4 cm/s, respectively.
A section which clearly showed both tumors and the surrounding kidney tissue was chosen for contrast-enhanced ultrasound (CEUS). Sono Vue solution (1.2 mL, dissolved by 5 mL saline) was used as ultrasound contrast agent. The whole procedure continued for more than 2 minutes, and the relative images were recorded. The imaging parameters of CEUS were mechanical index (MI) < 0.05, and dynamic range 40–50 dB.
Comparative Ultrasound Imaging Techniques
Ultrasound Imaging for Thyroid Tumor Characterization
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