Application of Shape Analysis on 3D Images- MRI of Renal Tumors

Abstract. The image recognotion and the classification of objects according to the images are more in focus of interests, especially in medicine. A mathematical procedure allows us, not only to evaluate the amount of data per se, but also ensures that each image is pro-cessed similarly. Here in this study, we propose the power of shape analysis, in conjunction with neural networks for reducing white noise instead of searching an optimal metric, to support the user in his eval-uation of MRI of renal tumors. Therapy of renal tumors in childhood bases on therapy optimizing SIOP(Society of Pediatric Oncology and Hematology)-study protocols in Europe. The most frequent tumor is the nephroblastoma. Other tumor entities in the retroperitoneum are clear cell sarcoma, renal cell carcinoma and extrarenal tumors, espe-cially neuroblastoma. Radiological diagnosis is produced with the hel