Bhawna Dhruv1, Neetu Mittal1, Megha Modi2. 1. a Amity Institute of Information Technology, Amity University Uttar Pradesh , Noida , UP , India. 2. b Dermatologist, Yashoda Super Specialty Hospital , Ghaziabad , UP , India.
Abstract
PURPOSE OF THE STUDY: Medical field has highly evolved with advancements in the technologies which prove to be beneficial for radiologists and patients for better diagnosis. The era of medical science provides best healthcare solutions with the help of medical images. Till now, 2D MRIs played a prominent role in early detection of disease but with latest technologies taking over the charge, 3D MRIs are highly effective and great in demand nowadays. With the aid of advanced techniques such as edge detection, segmentation and texture analysis on these images, the disease detection may become much easier. MATERIALS AND METHODS: Texture of any image is recognized by distribution of gray levels in the neighborhood. The Texture Analysis plays an important role in study of medical images. It identifies the prominent features of an image and highlights the same using different feature extraction technique. In this paper, 3D MRI of human brain is considered and texture analysis based on Haralick's and GLCM texture features is performed. Haralick's feature explains the image intensities of each pixel and their relationship with neighborhood pixels. The entire data set consists of 40 brain tumor patients, out of which a sample has been depicted. RESULTS: The analysis of different features such as Contrast, Correlation, Energy, Homogeneity and Entropy is carried out. CONCLUSION: Further, the study highlights about the highly useful features for early detection of brain tumor disease.
PURPOSE OF THE STUDY: Medical field has highly evolved with advancements in the technologies which prove to be beneficial for radiologists and patients for better diagnosis. The era of medical science provides best healthcare solutions with the help of medical images. Till now, 2D MRIs played a prominent role in early detection of disease but with latest technologies taking over the charge, 3D MRIs are highly effective and great in demand nowadays. With the aid of advanced techniques such as edge detection, segmentation and texture analysis on these images, the disease detection may become much easier. MATERIALS AND METHODS: Texture of any image is recognized by distribution of gray levels in the neighborhood. The Texture Analysis plays an important role in study of medical images. It identifies the prominent features of an image and highlights the same using different feature extraction technique. In this paper, 3D MRI of human brain is considered and texture analysis based on Haralick's and GLCM texture features is performed. Haralick's feature explains the image intensities of each pixel and their relationship with neighborhood pixels. The entire data set consists of 40 brain tumorpatients, out of which a sample has been depicted. RESULTS: The analysis of different features such as Contrast, Correlation, Energy, Homogeneity and Entropy is carried out. CONCLUSION: Further, the study highlights about the highly useful features for early detection of brain tumor disease.
Entities:
Keywords:
GLCM; Haralick’s features; Medical images; brain tumor; magnetic resonance imaging; texture analysis