ABSTRACT
Imaging for nuclear medicine images can allow either detection tasks, which usually include the identification of perfusion defects, or quantitative tasks, such as estimating ejection fraction, organ absorbed dose, or standardized uptake values. The major disadvantage is that it does not allow an absolute quantification, although it is attempted using phantom-based calibration. It is considered as a state-of-the-art tool for obtaining quantitative SPECT images. Thus, attenuation maps from radioactive sources could be quite effective for attenuation compensation, if the appropriate attention to these factors is given in parallel regular source replacement if it is necessary. The imperfect spatial response function of the PET scanner can be corrected by modeling the spatial blurring which is introduced by response function into the system matrix model used in tomographic reconstruction. Fast implementations of bilinear interpolation, watershed segmentation, and volume rendering are among the high-performance processes of MATLAB.
