Tool of segmentation and 3D reconstruction of MRI to quantify cranial tumor activity

Currently in the biomedical field of image processing software are used for quantitative measurement of tumor lesions, but the analysis of longitudinal studies has limitations; mainly for monitoring of treatment effect and some of this software are owners. Existing software from brain tumor diagnosis and evaluation treatment is a manual process of mensuration of the size of the tumor and alone slide measurement selected, without one a tool that integrates all the functionalities for the quantitative evaluation of the lesions and applied treatments. This justifies finding new and validated tools for imaging biomarkers (IB) applied to magnetic resonance image (MRI). A series of 29 pediatric patients, 14 females and 15 males, between 3 to 18 years, with confirmed malignant brain tumors and treated with a monoclonal antibody nimotuzumab, were evaluated during 2 years for to validate IB-MRI. The MRI were obtained with a 1.5 T MR Symphony Maestro Class System (Siemens, Germany). The protocol included weighted images in T₂, T₁ and FLAIR. A tool developed in Matlab was obtained. Segmentation and reconstruction methods in three dimensions (3D) were applied and were also integrated in a single interface to integrate others separate tools. Additionally includes the use of an automated method of segmentation of background noise that reduces the amount of points to be processed. The volumes calculated overlap each technique reflecting different biological realities. Our tool is effective to quantitatively evaluate the antitumor effect to treatment.