New Guidance Engine Software Simplifies Fusion Imaging Stent Placement Workflow
By MedImaging International staff writers Posted on 10 May 2016 |

Image: The EVAR-3D Guidance for endovascular repair of the aorta (Photo courtesy of Siemens Healthcare / YouTube).
A leading healthcare equipment manufacturer has presented a novel software application package that provides automated procedure support for minimally invasive treatment of aortic aneurysms.
The software application package automates the stent placement workflow, reduces the radiation dose that a patient is exposed to, and reduces the amount of contrast media required for the precision placement of stents. In addition, intra-operative 3-D imaging allows surgeons to check the results of the procedure as soon as surgery is complete.
Siemens Healthcare (Erlangen, Germany) presented the Evar Guidance Engine software application package at the Charing Cross International Symposium (CX; London, UK) on April 26 to 29, 2016. The Evar Guidance Engine provides automated workflows to support the surgical process including analysis of pre-procedural Computed Tomography (CT) images, image-supported intervention, and intra-operative monitoring using 3-D imaging. The Evar Guidance Engine software can recognize aorta vessel walls, find the main branching vessels, and determine the best angle for the C-arm equipment. The software prepares the CT image for overlay with the 2-D X-Ray image, and this enables anatomical markings from the CT image to be displayed on the X-Ray image to help the surgeon position the stent precisely, and reducing the duration of surgery. The use of fusion imaging in a hybrid Operating Room (OR) also reduces the radiation and contrast media dose that the patient is exposed to, compared to other methods in use today.
Siemens Healthcare will make the Evar Guidance Engine available as part of the Pure platform on the Artis Q, Artis zeego, Artis zee, and Artis Q.zen angiography systems.
Dr. Philipp Geisbuesch, vascular surgeon, Heidelberg University Hospital, said, “The optical system is an absolute winner, since you always have all the key orientation points in view. I can always see where the renal artery is, and which angulation I need to select. Fusion imaging enables us to place the endograft with maximum accuracy and the correct angulation. All with minimum use of contrast media. Using this contrast-enhanced cone beam CT, we discovered associated endograft or other complications in seven percent of patients that we could immediately repair on the table. Now we can be sure: once we bring our patient out of the operating room, everything that could be done has been done.”
Related Links:
Siemens Healthcare
The software application package automates the stent placement workflow, reduces the radiation dose that a patient is exposed to, and reduces the amount of contrast media required for the precision placement of stents. In addition, intra-operative 3-D imaging allows surgeons to check the results of the procedure as soon as surgery is complete.
Siemens Healthcare (Erlangen, Germany) presented the Evar Guidance Engine software application package at the Charing Cross International Symposium (CX; London, UK) on April 26 to 29, 2016. The Evar Guidance Engine provides automated workflows to support the surgical process including analysis of pre-procedural Computed Tomography (CT) images, image-supported intervention, and intra-operative monitoring using 3-D imaging. The Evar Guidance Engine software can recognize aorta vessel walls, find the main branching vessels, and determine the best angle for the C-arm equipment. The software prepares the CT image for overlay with the 2-D X-Ray image, and this enables anatomical markings from the CT image to be displayed on the X-Ray image to help the surgeon position the stent precisely, and reducing the duration of surgery. The use of fusion imaging in a hybrid Operating Room (OR) also reduces the radiation and contrast media dose that the patient is exposed to, compared to other methods in use today.
Siemens Healthcare will make the Evar Guidance Engine available as part of the Pure platform on the Artis Q, Artis zeego, Artis zee, and Artis Q.zen angiography systems.
Dr. Philipp Geisbuesch, vascular surgeon, Heidelberg University Hospital, said, “The optical system is an absolute winner, since you always have all the key orientation points in view. I can always see where the renal artery is, and which angulation I need to select. Fusion imaging enables us to place the endograft with maximum accuracy and the correct angulation. All with minimum use of contrast media. Using this contrast-enhanced cone beam CT, we discovered associated endograft or other complications in seven percent of patients that we could immediately repair on the table. Now we can be sure: once we bring our patient out of the operating room, everything that could be done has been done.”
Related Links:
Siemens Healthcare
Latest Radiography News
- World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
- AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
- Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
- AI-Powered Mammograms Predict Cardiovascular Risk
- Generative AI Model Significantly Reduces Chest X-Ray Reading Time
- AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
- Photon Counting Detectors Promise Fast Color X-Ray Images
- AI Can Flag Mammograms for Supplemental MRI
- 3D CT Imaging from Single X-Ray Projection Reduces Radiation Exposure
- AI Method Accurately Predicts Breast Cancer Risk by Analyzing Multiple Mammograms
- Printable Organic X-Ray Sensors Could Transform Treatment for Cancer Patients
- Highly Sensitive, Foldable Detector to Make X-Rays Safer
- Novel Breast Cancer Screening Technology Could Offer Superior Alternative to Mammogram
- Artificial Intelligence Accurately Predicts Breast Cancer Years Before Diagnosis
- AI-Powered Chest X-Ray Detects Pulmonary Nodules Three Years Before Lung Cancer Symptoms
- AI Model Identifies Vertebral Compression Fractures in Chest Radiographs
Channels
MRI
view channel
AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
Many pediatric gliomas are treatable with surgery alone, but relapses can be catastrophic. Predicting which patients are at risk for recurrence remains challenging, leading to frequent follow-ups with... Read more
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... 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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more