Automatic G1 Surface Reconstruction from Serial Cross-Sectional Images

  • Authors:
  • Fatimah Yahya;Jamaludin Md Ali;Ahmad Abdul Majid;Arsmah Ibrahim

  • Affiliations:
  • FTMSK, Universiti Teknologi Mara, Shah Alam, Malaysia;Pengajian Sains Matematik, Universiti Sains Malaysia, P. Pinang, Malaysia;Pengajian Sains Matematik, Universiti Sains Malaysia, P. Pinang, Malaysia;FTMSK, Universiti Teknologi Mara, Shah Alam, Malaysia

  • Venue:
  • VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Biomedical imaging facilities today like MRI, PET, CT scan and confocal microscopy produce sequentially parallel cross sectional images. Recon-structing trustworthy 3D explicit models which enable better understanding of the topology and shape of structure is crucial in facilitating diagnosis, improves surgical planning and aid in biological research.Our technique produce a surface from G1cross sectional contour curves of images. Surface accuracy is controlled by a tolerance measure. Features can be isolated and identified for corresspondence.First the boundaries of the region of interest are extracted and corner points detected. G1rational Bezier cubics, iteratively determined, are fitted piecewise between these corners and approximating the boundary. as close as need be. Adjacent contour curves are blended together to form the surface. Technique is fully automatic.