Contour‐regulated registration framework for Liver CT perfusion images

Abstract

Liver computed tomography perfusion (CTp) imaging enables quantitative assessment of vascular dynamics but is highly susceptible to motion‐induced artifacts arising from breath‐hold variability and involuntary patient motion. These effects cause different portions of the liver to fall within the imaging field of view across time frames and introduce in‐plane deformation, creating substantial challenges for image registration. Misregistration between distinct regions of interest disrupts temporal signal consistency and perfusion estimation, underscoring the need for robust registration strategies tailored for Liver CTp.