  This project developed a web application using VTK for ultrasound
visualization. The images were enhanced using median and Gaussian filters, and
two algorithms were utilized for data visualization: isosurface extraction and
Delaunay triangulation. Results showed that both algorithms were effective at
reducing Gaussian noise and high-frequency noise, such as speckle noise, which
is common in ultrasound. The web application allows users to select MHA files,
adjust the marching cubes threshold, and switch between the two algorithms in
runtime. This project demonstrates the benefits of ultrasound visualization in
medical applications and the utility of using VTK to achieve high-quality
visualizations. The web application provides healthcare professionals with a
user-friendly platform to interpret ultrasound data, leading to better
diagnosis and treatment decisions
