Displacement estimation was performed using a multi-level algorithm [16 (link), 17 (link)] with Bayesian regularization [18 (link)]. Displacement information was used to propagate the manual segmentations from end diastole to other frames over the cardiac cycle. Axial, lateral and shear strain were calculated from accumulated displacement vector estimates. A fast GPU version of the algorithm was used for the estimation reported in this paper [19 ].
Acuson s2000 system
The Acuson S2000 system is a diagnostic ultrasound device manufactured by Siemens. It is designed to provide high-quality imaging for various medical applications. The system features advanced technology to generate detailed, real-time images of the body's internal structures.
11 protocols using acuson s2000 system
Carotid Artery Plaque Strain Imaging
Kidney CEUS Imaging Protocol
Ultrasound Phantom Characterization Experiment
Liver Stiffness Assessment by Ultrasound
Fine Needle Aspiration of Cervical Lymph Nodes
Ultrasound-Based Gastrocnemius Muscle Analysis
Multimodal Imaging Evaluation of Cancer
Axillary sonography was conducted by experienced gynecologists (A.K.B. and S.M.) with over 10 years of expertise in breast and axillary ultrasound. The following systems and transducers were utilized: an Acuson S2000 system (Siemens Healthcare GmbH, Erlangen, Germany), a SuperSonic Imagine Aixplorer (Toshiba Medical Systems GmbH, Neuss, Germany) and an Aplio MX SSA-780A System (Toshiba Medical Systems GmbH, Neuss, Germany), all equipped with 5 to 12 MHz linear array transducers.
Bone scintigraphy was performed with planar whole-body scans using a dual-headed gamma camera equipped with low-energy high-resolution collimator (Symbia S, Siemens Healthineers). Three hours after intravenous injection of a body-weight-adapted amount of [99mTc]-labeled polyphosphonate (PDP), anterior and posterior view scans were acquired with an acquisition time of 20 to 35 min. In all cases of uncertain radionuclide accumulations in the bone scan, additional target images or SPECT/CT images were acquired.
ARFI Liver Stiffness Measurement Protocol
Diagnostic Imaging of Budd-Chiari Syndrome
Quantifying Venous Reflux via DUS
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