Share Email Print
cover

Proceedings Paper

An automatic approach for 3D registration of CT scans
Author(s): Yang Hu; Eli Saber; Sohail Dianat; Sreenath Rao Vantaram; Vishwas Abhyankar
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

CT (Computed tomography) is a widely employed imaging modality in the medical field. Normally, a volume of CT scans is prescribed by a doctor when a specific region of the body (typically neck to groin) is suspected of being abnormal. The doctors are required to make professional diagnoses based upon the obtained datasets. In this paper, we propose an automatic registration algorithm that helps healthcare personnel to automatically align corresponding scans from 'Study' to 'Atlas'. The proposed algorithm is capable of aligning both 'Atlas' and 'Study' into the same resolution through 3D interpolation. After retrieving the scanned slice volume in the 'Study' and the corresponding volume in the original 'Atlas' dataset, a 3D cross correlation method is used to identify and register various body parts.

Paper Details

Date Published: 2 February 2012
PDF: 9 pages
Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82951F (2 February 2012); doi: 10.1117/12.909322
Show Author Affiliations
Yang Hu, Rochester Institute of Technology (United States)
Eli Saber, Rochester Institute of Technology (United States)
Sohail Dianat, Rochester Institute of Technology (United States)
Sreenath Rao Vantaram, Rochester Institute of Technology (United States)
Vishwas Abhyankar, DataPhysics Research, Inc. (United States)


Published in SPIE Proceedings Vol. 8295:
Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II
Karen O. Egiazarian; John Recker; Guijin Wang; Sos S. Agaian; Atanas P. Gotchev, Editor(s)

© SPIE. Terms of Use
Back to Top