Angiographic Examination Method

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention describes an advanced angiographic examination method that utilizes rotational X-ray imaging to acquire detailed projection images of organs or blood vessels. The acquired images undergo pre-processing, noise reduction, and iterative reconstruction, resulting in high-quality, dynamically reconstructed images and time attenuation curves for better diagnosis.

Use CasesContent extracted from patent full text and abstract with AI.

• Medical imaging for detecting vascular diseases such as aneurysms or stenosis
• Pre-surgical planning and post-surgical assessment for vascular procedures
• Non-invasive examination of organ blood flow and perfusion
• Monitoring disease progression or response to therapy in cardiovascular conditions
• Research in medical imaging and radiology advancements

BenefitsContent extracted from patent full text and abstract with AI.

• Provides clearer, high-quality angiographic images with reduced noise
• Allows for more accurate diagnosis of vascular and organ conditions
• Enables dynamic analysis through time attenuation curves
• Minimizes the need for invasive diagnostic procedures
• Improves assessment of blood flow and organ perfusion
• Supports better treatment planning and monitoring

Technical Classifications (CPCs)

Inventors & Applicants

Patent Abstract

An angiographic examination method for examining an organ, vascular system or other regions of a patient is proposed. Projection images are acquired by an angiography system having an X-ray tube assembly and an X-ray image detector applied to ends of a C-arm, a patient table having a tabletop for carrying the patient, a system control unit, an imaging system and a monitor. Projection images are generated by rotational angiography from a plurality of projection angles. The projection images are subjected to a pre-processing of an FDK reconstruction, the result of which is filtered by a noise-reduction method. A predetermined number of dynamic, iterative reconstruction steps is carried out. Time attenuation curves are reconstructed, which are modeled with a weighted sum of linear basis functions.