A fast 3-D medical image registration algorithm using principal component analysis / 南方医科大学学报
Journal of Southern Medical University
;
(12): 1591-1593, 2008.
Article
in Chinese
| WPRIM
| ID: wpr-340772
ABSTRACT
This paper presents a new 3-D image registration method based on the principal component analysis (PCA). Compared with intensity-based registration methods using the whole volume intensity information, our approach utilizes PCA to estimate the centroid and principal axis, and completes the registration by aligning the centroid and principal axis. We evaluated the effectiveness of this approach by applying it to simulated and actual brain image data (MR, CT, PET, and SPECT). The experimental results indicate that the algorithm is effective, especially for registration of 3-D medical images.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Image Processing, Computer-Assisted
/
Radiotherapy, Computer-Assisted
/
Brain
/
Diagnostic Imaging
/
Magnetic Resonance Imaging
/
Radiography
/
Reproducibility of Results
/
Imaging, Three-Dimensional
/
Principal Component Analysis
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Southern Medical University
Year:
2008
Type:
Article
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