The present application relates to a TAVR teaching model based on
blood flow simulation and multi-
modal image fusion and use method. The model comprises a simulated thoracic and
abdominal cavity with a built-in heart wave beat
simulation part that drives fluid to generate
pulsatile blood flow, a simulated thoracic and abdominal body with pre-set
vascular access, a bionic heart
assembly with structures such as a
ventricular cavity, a
pathological valve module that can be detachably fitted to the
aortic valve ring and contains a
pressure sensor array and simulated
calcification, a
coronary circulation monitoring module that monitors the
perfusion state of the coronary
artery opening, a virtual
fluoroscopy positioning module that generates real-time
fluoroscopy images, and a central control console that electrically cooperates with each module. The scheme simulates the
tactile sensation of
calcification through the
pathological valve module, the heart wave beat
simulation part reproduces the physiological
pressure difference with a
closed loop blood flow, realizes image navigation training with non-
radiation virtual
fluoroscopy, integrates real-time simulation of complications with coronary monitoring and annulus
pressure sensing, and solves the problems of existing models such as distorted hand feeling, inaccurate dynamics, dependence on
radiation, and lack of complication training.