Meeting Banner
Abstract #2300

Accurate Classification of Parotid Tumors Based on Histogram Analysis of ADC-maps

Sanam Assili 1,2 , Anahita Fathi Kazerooni 1,3 , Mahnaz Nabil 1,4 , Leila Agha Ghazvini 5 , Mojtaba Safari 1 , and Hamidreza Saligheh Rad 1

1 Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran, 2 Department of Medical Physics, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran, 3 Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran, 4 Department of Statistics, Tarbiat Modares University, Tehran, Iran, 5 Department of Radiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

Accurate discrimination of benign and malignant parotid tumors in morphological MR images is a challenging issue. On one hand there exist large histological variations throughout the tumor, and on the other hand anatomical MR-derived features have low sensitivity in capturing the physiological non-uniformities of parotid tumors. To overcome this problem, in this work, we have explored and compared several quantitative measures extracted from ADC map to find the best parameters in distinguishing benign and malignant parotid tumors, in an automatic classification scheme.

This abstract and the presentation materials are available to members only; a login is required.

Join Here