Diagnosis of Cardiovascular Disease Using Fuzzy Methods in Nuclear Medicine Imaging

The study used fuzzy logic to extract information and analyze nuclear medicine imaging. Data were extracted for accurate and rapid diagnosis of left ventricular cavity volume (LVV), which is very effective in rapid and accurate diagnosis of left ventricular disease. The proposed method has three steps: First, a wavelet-based analysis was performed on existing medical imaging to reduce the noise in them and improve image resolution. The brighter image of this step was used as the second step input. Image segmentation was performed using a neural network algorithm. At this stage, image classification was performed using the Gaussian function. Finally, in the third step, the area corresponding to the left ventricle was selected, and fuzzy logic was used for this selection.