Skewness and Kurtosis of Apparent Diffusion Coefficient in Human Brain Lesions to Distinguish Benign and Malignant Using MRI (original) (raw)

2018

Abstract

The application of Diffusion Weighted Imaging (DWI) in cancer identification and discrimination is increase singly interest within last decade. DWI has significant advantages, as it does not require contrast medium and provides qualitative and quantitative information that can be helpful for lesion assessment. Therefore, this study presents the utility of skewness and kurtosis of Apparent Diffusion Coefficient (ADC) to distinguish between benign and malignant brain lesions. All the Magnetic Resonance Imaging (MRI) scans were performed with a 3 Tesla Siemens Skyra MR system using a head coil. The sample consists of six subjects with locally advanced brain lesion. The Echo-Planar Imaging pulse sequence was used to acquire axial DW MRI data with a flip angle = \(90^{\circ }\), Time of Echo/Time of Repetition (TE/TR) = 98/6400 ms, Field of View (FOV) = 256 mm, matrix size = 256 \(\times \) 256, slice thickness of 1 mm and two levels of diffusion sensitization (\({\text {b} = 0 \text { a...

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