“Cardiovascular disease is one of the leading causes of death in the united kingdom. Formerly diagnosis can help patients alter their lifestyles or empower preventative clinical activities,” states Dr. Azad Ghuran, Consultant Cardiologist at The European Scanning Centre. “Our cardiovascular disease risk assessment program employs CT coronary angiography to not just calcium score but also to assess plaque attributes, which can identify patients at greater risk. The newest Aquilion PRISM will help greatly with this giving us much high-quality pictures of the heart and coronary artery anatomy, in a much quicker acquisition speed than we have had before. It also provides the patient a much more comfortable and faster scan encounter, in a much lower radiation dose.”
“AI-assisted CT is bringing deeper wisdom to clinical organizations to explore the structure and operate deep in the body,” says Mark Thomas, CT Modality Manager at Canon Medical. “Our Advanced Intelligent Clear-IQ Engine (AiCE) on new generation CT scanners are built in the knowledge and information of CT reconstruction. Its algorithms restore low-end CT data to match the properties of advanced Model-based Iterative Reconstruction without the need for multiple forward-projected iteration cycles, saving workflow dose and time. AI is not just a vision in medical imaging, it is a reality already.” The European Scanning Centre, a professional medical imaging clinic on Harley Street in London, has welcomed AI-assisted CT to its selection of equipment for cardiac and broader patient examinations.
The Aquilion ONE PRISM CT from Canon Medical is going to be used to deliver a higher standard and more detailed level of care to its patients. Besides the world’s earliest Deep Learning Reconstruction system, the Aquilion PRISM also provides the European Scanning Centre using PUREVision Optics sensor and filtration operation to gain the optimal balance between image quality and radiation dose. Additionally, it means that the need for contrast media is diminished in patient assessments. An additional innovative application algorithm known as Single Energy Metal Artifact Reduction (SEMAR) is also included to remove image artifacts brought on by metal within the patient and improve visualization of the lungs, heart, bone, and soft tissue structures.
This can be useful when analyzing patients with metallic prostheses, cardiovascular implanted electronics, or medically implanted clips or coils. He continues, “The evolution of CT innovation heralds a brand new age for imaging aided by Artificial Intelligence. This provides us the potential of medical imaging today and will assist with earlier and more confident clinical diagnoses for our patients.”