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      Validation of co-registration of clinical lung ventilation and perfusion SPECT.

      Australasian Physical & Engineering Sciences in Medicine
      Algorithms, Humans, Image Enhancement, methods, Image Interpretation, Computer-Assisted, Pattern Recognition, Automated, Perfusion Imaging, Pulmonary Embolism, radionuclide imaging, Pulmonary Ventilation, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique, Tomography, Emission-Computed, Single-Photon

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          Abstract

          Ventilation (V) and perfusion (Q) image data from 20 patients undergoing a routine clinical SPECT V/Q study were aligned via rigid coregistration using intrinsic image intensity values with the software package 'Qonsub'. Accuracy of the coregistration was quantified by an independent technique that used Tc-99m filled fiducial markers which had been adhered to the patient's skin prior to imaging. These were visible on both the V and Q scans, but were removed from the images for the coregistration step. The level of inter-marker displacement between scans was monitored to ensure it did not invalidate the assessment of coregistration accuracy. Once coregistered, results showed that for 65% of patients in the survey co-registration accuracy was better than 1 pixel (3.8 mm), 30% were co-registered with an accuracy of between 1 and 2 pixels and 5% were co-registered with an accuracy of between 2 and 3 pixels.

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