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Related Concept Videos

Ultrasound I: Abdominal Ultrasonography01:20

Ultrasound I: Abdominal Ultrasonography

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Introduction:
Abdominal ultrasonography, commonly known as abdominal ultrasound, is a vital, non-invasive medical imaging technique widely used in healthcare.
Procedure:
This diagnostic tool allows the clinician to visually inspect internal structures within the abdomen, including vital organs such as the liver, gallbladder, pancreas, kidneys, and spleen.
The abdominal ultrasound process begins with applying a special gel to the patient's skin over the abdomen. This gel enhances the...
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Ultrasound II: Endoscopic Ultrasound and FibroScan01:25

Ultrasound II: Endoscopic Ultrasound and FibroScan

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Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):
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Ultrasonography01:17

Ultrasonography

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Related Experiment Video

Updated: Apr 16, 2026

Real-time Monitoring of High Intensity Focused Ultrasound HIFU Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound HMIFU
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Real-time Monitoring of High Intensity Focused Ultrasound HIFU Ablation of In Vitro Canine Livers Using Harmonic Motion Imaging for Focused Ultrasound HMIFU

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An integrated model-based software for FUS in moving abdominal organs.

Michael Schwenke1, Jan Strehlow, Sabrina Haase

  • 1Fraunhofer Institute for Medical Image Computing MEVIS , Bremen , Germany .

International Journal of Hyperthermia : the Official Journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group
|March 20, 2015
PubMed
Summary

Focused ultrasound surgery (FUS) offers non-invasive tumor ablation. This study presents model-based software for patient-specific FUS treatment planning of moving abdominal organs, enhancing safety and effectiveness.

Keywords:
Clinical trials-thermal ablationhigh-intensity focused ultrasoundmodellingthermal ablation

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Evaluation of the Feasibility, Safety, and Accuracy of an Intraoperative High-intensity Focused Ultrasound Device for Treating Liver Metastases
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Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
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Evaluation of the Feasibility, Safety, and Accuracy of an Intraoperative High-intensity Focused Ultrasound Device for Treating Liver Metastases
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Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
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Area of Science:

  • Medical Physics
  • Biomedical Engineering
  • Surgical Technology

Background:

  • Focused ultrasound surgery (FUS) is a non-invasive ablation technique with potential for controlled tumor destruction and minimal side effects.
  • Treating abdominal organs like the liver with FUS requires specialized technology for safe and effective procedures.
  • Real-time imaging guidance (MRI, ultrasound) is crucial for FUS, necessitating adaptation to organ motion and anatomical constraints.

Purpose of the Study:

  • To describe integrated model-based software for patient-specific modeling and prediction in FUS treatments.
  • To address the challenges of organ motion during FUS procedures in the abdomen, particularly the liver.
  • To enhance the accuracy and efficiency of FUS by incorporating real-time motion prediction and treatment planning.

Main Methods:

  • Development of integrated model-based software for patient-specific FUS treatment.
  • Utilizing imaging methods (MRI, diagnostic ultrasound) for guidance and tracking during FUS procedures.
  • Modeling patient respiratory motion and combining it with tracking data for accurate motion prediction.
  • Simulation of FUS effects within the body for treatment planning and in-therapy knowledge enhancement.

Main Results:

  • The developed software enables patient-specific modeling and prediction for FUS treatments of moving abdominal organs.
  • Integration of motion modeling and tracking data improves the accuracy of predicting organ movement during FUS.
  • Model-based simulation aids in treatment planning and provides insights into patient status during therapy.

Conclusions:

  • Model-based software facilitates patient-specific FUS treatment planning for moving abdominal organs.
  • Accurate prediction and adaptation to organ motion are essential for safe and effective FUS liver treatments.
  • This integrated approach has the potential to improve FUS efficacy and patient outcomes by enhancing treatment precision.