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Two methods for semi-automated quantification of changes in ventricular volume and their use in schizophrenia
Authors:Nadeem Saeed  Basant K Puri  Angela Oatridge  Joseph V Hajnal  Ian R Young
Affiliation:

*Picker Research Group, MRI Unit, London, W12 OHS, United Kingdom

?The Robert Steiner MR Unit, Imperial College School of Medicine, Hammersmith Hospital, London, W12 OHS, United Kingdom

Abstract:Two semi-automated methods for quantification of ventricular volume change from baseline and follow-up magnetic resonance imaging scans have been developed. Technique 1 employs direct segmentation of the ventricles from both the scans using thresholding and contour extraction. Technique 2 operates on difference images produced by voxel based intensity subtraction of the baseline from the registered follow-up images. Here, all voxels with intensities above a noise threshold and in a restricted area are monitored to compute volumetric changes. In phantom measurements the first technique was accurate to 0.0046%, the second to 0.167% of the phantom volume. Results from normal volunteers was that the average ventricular volume changed by 1.52% and 1.54% for images acquired within 9 months using techniques 1 and 2, respectively. With schizophrenic patients mean change of 10.78% and 9.43% were found employing the first and second procedures, respectively. All measurements agreed with a radiologist’s visual grading of the changes. Robust, objective, fast, easy-to-use, and fairly accurate procedures have been developed and validated to quantify volumetric changes.
Keywords:Image registration  Contour extraction  Image segmentation  Volume quantitation
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