Download now Free registration required
The diversity and complexity of cardiac tissues makes it very challenging to visualize 3D cardiac Magnetic Resonance Image (MRI) data. This paper proposed an adaptive volume data preprocessing approach, and used a semi-automated transfer function for volume rendering of the pre-processed cardiac MRI data. To improve the quality of 3D cardiac MRI data, first a three-dimensional median filtering method is used for data denoising, and then proposed an adaptive ellipsoidal Gaussian filtering scheme for local-feature-preserving data smoothing.
- Format: PDF
- Size: 212.4 KB