ArticleIEEE transactions on bio-medical engineering2017
System Integration and In Vivo Testing of a Robot for Ultrasound Guidance and Monitoring During Radiotherapy.
Article in IEEE transactions on bio-medical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 38 citations in OpenAlex.
- FLEX: FLexible Transducer With External Tracking for Ultrasound Imaging With Patient-Specific Geometry Estimation.IEEE transactions on bio-medical engineering · 2024Article
- Ultrasound Imaging with Flexible Array Transducer for Pancreatic Cancer Radiation Therapy.Cancers · 2023Article
- DAART: a deep learning platform for deeply accelerated adaptive radiation therapy for lung cancer.Frontiers in oncology · 2023Article
- A-SEE: Active-Sensing End-effector Enabled Probe Self-Normal-Positioning for Robotic Ultrasound Imaging Applications.IEEE robotics and automation letters · 2022Article
- Systematic study of the iodinated rectal hydrogel spacer material discrepancy on accuracy of proton dosimetry.Journal of applied clinical medical physics · 2022Article
- Demonstrating the benefits of corrective intraoperative feedback in improving the quality of duodenal hydrogel spacer placement.Medical physics · 2022Article
- A phantom-based analysis for tracking intra-fraction pancreatic tumor motion by ultrasound imaging during radiation therapy.Frontiers in oncology · 2022Article
- Deep Learning for Ultrasound Beamforming in Flexible Array Transducer.IEEE transactions on medical imaging · 2021Article
- Real-time intrafraction motion monitoring in external beam radiotherapy.Physics in medicine and biology · 2019Review
- Analysis and optimization of the robot setup for robotic-ultrasound-guided radiation therapy.International journal of computer assisted radiology and surgery · 2019Article
- Feasibility study of ultrasound imaging for stereotactic body radiation therapy with active breathing coordinator in pancreatic cancer.Journal of applied clinical medical physics · 2017Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
We are developing a cooperatively controlled robot system for image-guided radiation therapy (IGRT) in which a clinician and robot share control of a 3-D ultrasound (US) probe. IGRT involves two main steps: 1) planning/simulation and 2) treatment delivery. The goals of the system are to provide guidance for patient setup and real-time target monitoring during fractionated radiotherapy of soft tissue targets, especially in the upper abdomen. To compensate for soft tissue deformations created by the probe, we present a novel workflow where the robot holds the US probe on the patient during acquisition of the planning computerized tomography image, thereby ensuring that planning is performed on the deformed tissue. The robot system introduces constraints (virtual fixtures) to help to produce consistent soft tissue deformation between simulation and treatment days, based on the robot position, contact force, and reference US image recorded during simulation. This paper presents the system integration and the proposed clinical workflow, validated by an in vivo canine study. The results show that the virtual fixtures enable the clinician to deviate from the recorded position to better reproduce the reference US image, which correlates with more consistent soft tissue deformation and the possibility for more accurate patient setup and radiation delivery.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.