A fully automated contour detection algorithm the preliminary step for scatter and attenuation compensation in SPECT.
Contour detection is an important step in information extraction from nuclear medicine images. In order to perform accurate quantitative studies in single photon emission computed tomography (SPECT) a new procedure is described which can rapidly derive the best fit contour of an attenuated medium. Some authors evaluate the influence of the detected contour on the reconstructed images with various attenuation correction techniques. Most of the methods are strongly affected by inaccurately detected contours. This approach uses the Compton window to redetermine the convex contour: it seems to be simpler and more practical in clinical SPECT studies. The main advantages of this procedure are the high speed of computation, the accuracy of the contour found and the programme's automation. Results obtained using computer simulated and real phantoms or clinical studies demonstrate the reliability of the present algorithm.
Ben Younes
R
R
Laboratoire de Biophysique et de Médecine Nucléaire, C.H.U. Jean Minjoz, Besançon, France.
Mas
J
J
Bidet
R
R
D000465:Algorithms; D005556:Form Perception; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008961:Models, Structural; D012984:Software; D014055:Tomography, Emission-Computed / Q000379:methods*