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Proceedings Paper

Automated segmentation and registration technique for HMPAO-SPECT imaging of Alzheimer's patients
Author(s): Perry E. Radau; Piotr J. Slomka; Per Julin; Leif Svensson; Lars-Olof Wahlund
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Paper Abstract

We present an operator-independent software technique for segmentation, realignment and analysis of brain perfusion images, with both voxel-wise and regional quantitation methods. Inter-subject registration with normalized mutual information was tested with simulated defects. Brain perfusion images (HMPAO-SPECT) from 56 subjects (21 AD; 35 controls) were retrospectively analyzed. Templates were created from the 3-D registration of the controls. Automatic segmentation was developed to remove extraneous activity that disrupts registration. Two new registration methods, robust least squares (RLS) and normalized mutual information (NMI) were implemented and compared with sum of absolute differences (CD). The automatic segmentation method caused a registration displacement of 0.4 +/- 0.3 pixels compared with manual segmentation. NMI registration proved to be less adversely effected by simulated defects than RLS or CD. The error in quantitating the patient-template parietal ratio due to mis- registration was 2.0% and 0.5% for 70% and 85% hypoperfusion defects, respectively. The registration processing time was 1.6 min (233 MHz Pentium). The most accurate discriminant utilized a logistic equation parameterized by mean counts of the parietal and temporal regions of the map, (91 +/- 8% Se, 97 +/- 5% Sp). BRASS is a fast, objective software package for single-step analysis of brain SPECT, suitable to aid diagnosis of AD.

Paper Details

Date Published: 6 June 2000
PDF: 13 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387699
Show Author Affiliations
Perry E. Radau, Univ. of Western Ontario and London Health Sciences Ctr. (Canada)
Piotr J. Slomka, Univ. of Western Ontario and London Health Sciences Ctr. (Canada)
Per Julin, Huddinge Univ. Hospital (Sweden)
Leif Svensson, Huddinge Univ. Hospital (Sweden)
Lars-Olof Wahlund, Huddinge Univ. Hospital (Sweden)


Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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