This invention provides an intelligent
image measurement and navigation method and
system for
transcatheter aortic valve replacement (TAVR), relating to the field of medical auxiliary diagnosis. Utilizing a dual-temporal collaborative repair strategy, it can use the texture information of clear temporal phases to complete the anatomical details of blurred temporal phases, obtaining complete anatomical boundaries even under imperfect cross-sections. This significantly reduces the time and frequency of physical probe adjustments during
surgery, lowering the reliance on the operational skills of anesthesiologists or sonographers. Through cascaded positioning with anatomical region locking, and using a probability
field strength prior forced
algorithm to focus on high-probability
anatomical structures, it shields
background noise that is easily interfered with by the
human eye, ensuring the objectivity and consistency of measurement results. This allows less experienced surgeons to achieve measurement accuracy consistent with senior experts, providing standardized data support for valve
model selection. It can intelligently filter out motion interference, ensuring the safety of
intraoperative navigation, and its sub-pixel accuracy meets the requirements of refined TAVR
surgery.