[3D virtual endoscopy of heart].

Area of Science:

• Cardiology
• Medical Imaging
• Computer-Aided Diagnosis

Background:

• Diagnosis of heart diseases often requires invasive procedures.
• Advanced imaging techniques are crucial for detailed cardiac visualization.
• Virtual endoscopy (VE) presents a non-invasive alternative for internal organ examination.

Purpose of the Study:

• To present an efficient, affordable, and easily popularizable virtual endoscopy (VE) system for heart disease diagnosis.
• To enable dynamic, real-time visualization of the heart's interior using dual-source CT (DSCT) data.
• To facilitate novel viewing angles and examination of cardiac structures.

Main Methods:

• Reconstruction of the 3D virtual heart structure using 3D texture mapping technology.
• Real-time dynamic display of the 3D heart model leveraging graphics processing unit (GPU) acceleration.
• Implementation of interactive and automatic observation modes, including Dijkstra Algorithm for automated view path calculation based on 3D Euler distance.

Main Results:

• Successful real-time dynamic display of the virtual heart's interior.
• Ability to examine cardiac chambers from user-defined angles after data clipping.
• Efficient pathfinding for viewing using Dijkstra Algorithm in automatic mode.
• Calculation of the four-chamber plane using the determined view path.

Conclusions:

• The developed VE system is effective and affordable for heart disease diagnosis.
• The system allows for comprehensive visualization and examination of the heart's internal anatomy.
• The technology shows promise for widespread adoption in clinical practice due to its ease of use and diagnostic capabilities.