Latent Space Denoising Model for High-Precision 3D Cardiac Model Generation

This study introduces a Latent Space Denoising Model for generating high-precision 3D cardiac models, tailored to assist in the diagnosis and treatment of cardiac-related diseases. By integrating patient-specific physiological data, medical imaging reports, and advanced Diffusion model techniques, the proposed method overcomes the limitations of traditional geometric reconstruction and image registration methods. The generated 3D models accurately preserve critical anatomical features such as the aortic root, valve junction, and aortic annulus, enabling enhanced preoperative evaluation and surgical planning. Experimental results demonstrate the model's ability to produce detailed and physiologically accurate cardiac structures, emphasizing its potential for clinical applications. The study lays the groundwork for further development and validation of 3D cardiac modeling technologies, with the ultimate goal of improving precision and outcomes in cardiac care.