3D Segmentation method in medical imaging

The aim was to develop an objective and reproducible 3D organ segmentation using both SPECT and MR images. The method used mathematical morphology technics. We applied this method : 1-for renal volume quatification using in-vivo 99^m Tc-DMSA SPECT imaging; 2-for myocardial defects quantification and left ventricular myocardium long axis detection (for automatic rest and stress images superposition) using thallium-201 SPECT imaging; 3-for MR images of phantom, the aim being to estimate the putamen nucleus volume. The two main advantages of our method are : simple and operator independent.