The goal of this ultrasound hands-on workshop is to demonstrate advancements in high intensity focused ultrasound (HIFU) and to demonstrate quality control (QC) testing in diagnostic ultrasound.
HIFU is a therapeutic modality that uses ultrasound waves as carriers of energy. HIFU is used to focus a beam of ultrasound energy into a small volume at specific target locations within the body. The focused beam causes localized high temperatures and produces a well-defined regions of necrosis. This completely non-invasive technology has great potential for tumor ablation and targeted drug delivery. At the workshop, attendees will see configurations, applications, and hands-on demonstrations with on-site instructors at separate stations.
The involvement of medical physicists in diagnostic ultrasound imaging service is increasing due to QC and accreditation requirements. At the workshop, an array of ultrasound testing phantoms and ultrasound scanners will be provided for attendees to learn diagnostic ultrasound QC in a hands-on environment with live demonstrations of the techniques.
Target audience: Medical physicists and other medical professionals in diagnostic imaging and radiation oncology with interest in high-intensity focused ultrasound and in diagnostic ultrasound QC.
- 1.Learn ultrasound physics and safety for HIFU applications through live demonstrations
- 2.Get an overview of the state-of-the art in HIFU technologies and equipment
- 3.Gain familiarity with common elements of a quality control program for diagnostic ultrasound imaging
- 4.Identify QC tools available for testing diagnostic ultrasound systems and learn how to use these tools
List of supporting vendors for HIFU and diagnostic ultrasound QC hands-on workshop:
- 1.Philips Healthcare
- 2.Alpinion Medical Systems
- 3.Verasonics, Inc
- 4.Zonare Medical Systems, Inc
- 5.Computerized Imaging Reference Systems (CIRS), Inc.
- 6.GAMMEX, Inc.,
- 7.Cablon Medical BV
Steffen Sammet: NIH/NCI grant 5R25CA132822, NIH/NINDS grant 5R25NS080949 and Philips Healthcare research grant C32