Real-Time VR Enhances View and Treatment Options in IR
By MedImaging International staff writers Posted on 05 Apr 2019 |

Image: New research suggests virtual reality options could enable interventional radiologists to improve treatments using RT 3D images from inside a patient’s blood vessels (Photo courtesy of Techmaish).
New research presented at the Society of Interventional Radiology’s 2019 Annual Scientific Meeting shows that immersive virtual reality (VR) could enable interventional radiologists to improve treatments using real-time 3D images from inside a patient’s blood vessels. The interactive technology could provide faster, more efficient treatment, with less radiation exposure and greater precision, ease and confidence.
The researchers conducted a study to demonstrate the feasibility of using a catheter with electromagnetic sensors projected onto a VR headset to see and steer the catheter through the anatomy to certain blood vessels. Using a CT angiography scan, they created a 3D printed model and a holographic image of blood vessels in a patient’s abdomen and pelvis. A team of radiologists guided hi-tech catheters through the 3D printed model while the tracking system showed the image from the catheter through the VR headset. They compared the time taken to steer the catheter from the entry point of the femoral artery to three different targeted vessels versus the time the process took using conventional fluoroscopic guidance, as well as the time taken in similar real-life clinical angiographic procedures.
In 18 simulated procedures, the researchers found the mean time to reach the three targeted vessels using VR was much lower than in fluoroscopy, the standard practice that uses an x-ray image. In the first vessel, VR took 17.6 seconds versus 70.3 seconds using the standard practice on the model and 171.2 seconds in the real-life procedure. With the improved efficiency, the researchers believe that VR technology will create safer treatments by reducing the amount of radiation exposure to both patient and physician, as well as increase access to IR treatments. The researchers also surveyed the practitioners who had tried the technology who reported that VR improved the ease, precision and efficiency of the treatment. Additionally, the users said they felt more confident in their abilities.
“Virtual reality will change how we look at a patient’s anatomy during an IR treatment. This technology will allow physicians to travel inside a patient’s body instead of relying solely on 2D, black and white images,” said Wayne Monsky, M.D, PhD, a professor of radiology at the University of Washington and lead author of the study. “Currently, the life-saving potential of IR is limited to hospitals and areas with the resources to invest in image-guided technology. There are three billion people worldwide in rural areas who don't have this access. This technology could allow for portability and accessibility so that these procedures are brought to rural areas using nothing more than a suitcase.”
The researchers conducted a study to demonstrate the feasibility of using a catheter with electromagnetic sensors projected onto a VR headset to see and steer the catheter through the anatomy to certain blood vessels. Using a CT angiography scan, they created a 3D printed model and a holographic image of blood vessels in a patient’s abdomen and pelvis. A team of radiologists guided hi-tech catheters through the 3D printed model while the tracking system showed the image from the catheter through the VR headset. They compared the time taken to steer the catheter from the entry point of the femoral artery to three different targeted vessels versus the time the process took using conventional fluoroscopic guidance, as well as the time taken in similar real-life clinical angiographic procedures.
In 18 simulated procedures, the researchers found the mean time to reach the three targeted vessels using VR was much lower than in fluoroscopy, the standard practice that uses an x-ray image. In the first vessel, VR took 17.6 seconds versus 70.3 seconds using the standard practice on the model and 171.2 seconds in the real-life procedure. With the improved efficiency, the researchers believe that VR technology will create safer treatments by reducing the amount of radiation exposure to both patient and physician, as well as increase access to IR treatments. The researchers also surveyed the practitioners who had tried the technology who reported that VR improved the ease, precision and efficiency of the treatment. Additionally, the users said they felt more confident in their abilities.
“Virtual reality will change how we look at a patient’s anatomy during an IR treatment. This technology will allow physicians to travel inside a patient’s body instead of relying solely on 2D, black and white images,” said Wayne Monsky, M.D, PhD, a professor of radiology at the University of Washington and lead author of the study. “Currently, the life-saving potential of IR is limited to hospitals and areas with the resources to invest in image-guided technology. There are three billion people worldwide in rural areas who don't have this access. This technology could allow for portability and accessibility so that these procedures are brought to rural areas using nothing more than a suitcase.”
Latest Imaging IT News
- New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
- Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
- AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process
- Artificial Intelligence (AI) Program Accurately Predicts Lung Cancer Risk from CT Images
- Image Management Platform Streamlines Treatment Plans
- AI-Based Technology for Ultrasound Image Analysis Receives FDA Approval
- AI Technology for Detecting Breast Cancer Receives CE Mark Approval
- Digital Pathology Software Improves Workflow Efficiency
- Patient-Centric Portal Facilitates Direct Imaging Access
- New Workstation Supports Customer-Driven Imaging Workflow
Channels
Radiography
view channel
AI Hybrid Strategy Improves Mammogram Interpretation
Breast cancer screening programs rely heavily on radiologists interpreting mammograms, a process that is time-intensive and subject to errors. While artificial intelligence (AI) models have shown strong... Read more
AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
Breast cancer remains one of the most common cancers among women, with about one in eight receiving a diagnosis in their lifetime. Despite widespread use of mammography, about 34% of patients in the U.... Read moreMRI
view channel
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreUltrasound
view channel
Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
Meningitis, an inflammation of the membranes surrounding the brain and spinal cord, can be fatal in infants if not diagnosed and treated early. Even when treated, it may leave lasting damage, such as cognitive... Read more
Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
Ultrasound imaging is a vital diagnostic technique used to visualize internal organs and tissues in real time and to guide procedures such as biopsies and injections. When paired with photoacoustic imaging... Read moreNuclear Medicine
view channel
New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read moreGeneral/Advanced Imaging
view channel
Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities
Maintaining accuracy and safety in interventional radiology is a constant challenge, especially as complex procedures require both high precision and efficiency. Traditional setups often involve multiple... Read more
Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
Strokes caused by blood clots or other mechanisms that obstruct blood flow in the brain account for about 85% of all strokes. Determining where a clot originates is crucial, since it guides safe and effective... Read more
Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans
Liver cancer is the sixth most common cancer worldwide and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is critical for diagnosis and therapy, but manual methods by radiologists... Read more
New CT-Based Indicator Helps Predict Life-Threatening Postpartum Bleeding Cases
Postpartum hemorrhage (PPH) is a leading cause of maternal death worldwide. While most cases can be controlled with medications and basic interventions, some become life-threatening and require invasive treatments.... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more