z-logo
open-access-imgOpen Access
Plane-Based Sampling for Ray Casting Algorithm in Sequential Medical Images
Author(s) -
Lili Lin,
Shengyong Chen,
Yan Shao,
Zichun Gu
Publication year - 2013
Publication title -
computational and mathematical methods in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 48
eISSN - 1748-6718
pISSN - 1748-670X
DOI - 10.1155/2013/874517
Subject(s) - equidistant , ray casting , rendering (computer graphics) , computer science , volume rendering , intersection (aeronautics) , sampling (signal processing) , algorithm , plane (geometry) , computer vision , artificial intelligence , mathematics , geometry , engineering , filter (signal processing) , aerospace engineering
This paper proposes a plane-based sampling method to improve the traditional Ray Casting Algorithm (RCA) for the fast reconstruction of a three-dimensional biomedical model from sequential images. In the novel method, the optical properties of all sampling points depend on the intersection points when a ray travels through an equidistant parallel plan cluster of the volume dataset. The results show that the method improves the rendering speed at over three times compared with the conventional algorithm and the image quality is well guaranteed.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom