A 3-D reconstruction algorithm for interpolation and extrapolation of planar cross sectional data

A three dimensional (3-D) reconstruction algorithm utilizing both linear interpolation and linear extrapolation was developed for the study of human prostatic cancer. The algorithm was validated by comparing the volumes and shapes of original to reconstructed objects. Synthetic objects of known geom...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 1995, Vol.14 (4), p.765-771
Main Authors: Werahera, P.N., Miller, G.J., Taylor, G.D., Brubaker, T., Daneshgari, F., Crawford, E.D.
Format: Article
Language:English
Subjects:
Biological and medical sciences
Cancer
Computerized, statistical medical data processing and models in biomedicine
Extrapolation
Geometry
Humans
Interpolation
Medical sciences
Models and simulation
Reconstruction algorithms
Shape
Solid modeling
Three dimensional displays
Volume measurement
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Summary:A three dimensional (3-D) reconstruction algorithm utilizing both linear interpolation and linear extrapolation was developed for the study of human prostatic cancer. The algorithm was validated by comparing the volumes and shapes of original to reconstructed objects. Synthetic objects of known geometry and wax models with shapes characteristic of prostatic carcinomas were assessed with standard planimetry and by the digital interpolation-extrapolation method. Volume and multifocality measurements obtained by reconstructing excised prostate glands using histologic maps obtained from whole-mount sections were tested. The new algorithm provided greater accuracy in determining tumor volumes than conventional methods. This model provides a basis for mathematical analysis of prostate cancer lesions.
ISSN:0278-0062
1558-254X
DOI:10.1109/42.476120