Abstract

Info

Title:: Construction of a global model of cardiac surface motion based on average intensity projection image

Author(s):: DENG Yongjin; WANG Zhaoyang; QIU Minmin; HUANG Jianwen; Department of Radiation Oncology, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China

Keywords:: Keywords: cardiac average intensity projection cardiac surface motion principal component analysis point cloud

Abstract:: Abstract: Objective To construct a global model of cardiac surface motion based on average intensity projection (AIP) image. Methods The cine magnetic resonance imaging data were divided into training set and test set for model construction and validation. The datum points were obtained on the AIP surface point cloud, and the corresponding points of each cardiac phase surface point cloud were found based on surface features. Principal component analysis was used to extract feature information, establish the mapping relationship between the datum points and the corresponding points, and construct a model for predicting each temporal phase surface point cloud from the AIP surface point cloud. Results The RMSE of the model on test set for corresponding point prediction ranged from (0.209±0.020) mm to (0.841±0.074) mm, while the Euclidean distance for each time phase surface point cloud prediction ranged from (1.399±0.029) mm to (1.658±0.100) mm. Conclusion The proposed global model exhibit high accuracy and can provide a reference for image segmentation and clinical treatments.