Bone Cancer Diagnosis Using GGD Analysis

摘要

Bone sarcoma, usually known as bone cancer, is a rare type of cancer that refers to an abnormal growth of tissue inside the bone, with high probability to spread to other parts of the body. It commonly affects children, teenagers and young adults. As for all other types of cancer (breast, lung, prostate, stomach, brain ...), there are no identified causes for bone cancer. Therefore, only an early detection could help increasing the chances to survive a bone sarcoma. The association of medical imaging modalities (such as X-ray, MRI and CT imaging) with image processing techniques can provide more accuracy while detection eventual bone tumors. In this paper, we introduced a new method for sarcoma diagnosis, using a Generalized Gaussian Density analysis (GGD). The process starts by generating sub-images of a given size from the processed bone MRI and conducting a GGD analysis on each of the sub-images. Then, a region of interest(ROI) corresponding to the sub-images with the highest value of the shape parameter a is selected from the original MRI. An Euclidean distance criteria is then used to adjust the ROI from which the bone tumor is identified using a connected component analysis algorithm. The proposed technique was tested on several bones MRI and has given perfect tumors detection compared to the literature.