Method for providing post-processed three-dimensional image data set of blood vessel structure of e.g. human, involves iteratively comparing data set with a criterion indicating measure of quality while adjusting customizable parameters

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

This invention describes a method to improve the quality of three-dimensional (3D) image data sets of blood vessels, such as those in humans. It works by comparing 2D projections and the 3D data, then automatically adjusting settings to optimize the quality of the final 3D image.

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

• Medical diagnostics for detecting vascular diseases using enhanced 3D images
• Pre-surgical planning where accurate blood vessel structures are needed
• Post-operative assessment and monitoring of blood vessel conditions
• Research studies analyzing vascular structures in clinical settings
• Radiology departments requiring precise vascular imaging for patient care

BenefitsContent extracted from patent full text and abstract with AI.

• Improves the clarity and quality of 3D blood vessel images, aiding diagnosis
• Enables automatic optimization of imaging parameters, reducing manual effort
• Increases diagnostic confidence and accuracy for clinicians
• Can adapt to different patient anatomies through customizable settings
• Facilitates better treatment planning and outcome tracking

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Patent Abstract

The method involves performing (S16) two-dimensional (2D) forward projection with respect to three-dimensional (3D) image data set of vessel structure of patient and comparing (S18) the 3D image data set with the 2D image data set. Pre-parameterization of 3D image data set is performed (S10) using locally customizable parameters before performing forward projection and comparison process. The 3D image data set is iteratively compared (S20) with respect to a preset criterion indicating a measure of quality while adjusting (S22) the value customizable parameters.