The way in which MRI imaging is evaluated in patients with central nervous system cancer, allowing an objective evaluation of the MRI test, is that MRI images obtained by any magnetic resonance using any intravenous contrast agent are evaluated. Two images representing cancer from the same image area, from the same intersection point --one image T1 and the other T1 + c (T1 with contrast), are used for comparison,designating the region of interest (ROI),an area of tumour. In the next step, using the DPM (Dirichlet Process Mixture) method,segmentation of previously received images is performed due to the brightness of the pixel, which in monochromatic images determines simultaneously its colour in scale [01023]. By calculating the amount of pixels in each of the shades of grey on the assumed scale, histograms are deleted. The final step is to calculate Manhattan distance for histograms T1 and T1+c. This number represents the amount of contrast agent in the microvascular tumour and thus indicates the amount of tumour,Which correlates positively with his degree of malice. This way of assessing the MRI image is carried out automatically, repeatedly and objectively, excluding human error, which increases the quality of the analytical result obtained.
展开▼
