A novel approach for tumor volume quantification based on the local dissimilarity volume

Evaluating the variations of lesion volume plays an important role in many medical applications. It helps radiologists to follow up patients and examine the effects of therapy. Several approaches were being proposed to come up with medical expectations. This work comes within this context. We present a new approach based on the local dissimilarity volume (LDV) that is a 3D representation of the local dissimilarity map (LDM). This map presents a useful means to compare two images offering a localization of information. We proved the reproducibility of this method (LDV) compared to medical techniques used by radiologists. The result of simulations shows that we can quantifying lesion volume by using LDV method which is an efficient way to calculate and localize volume variation of anomalies. It allowed a time-saver with a compete satisfaction of an expert during the medical treatment.