Efficient three-dimensional super-diffusive model for benign brain tumor segmentation
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Efficient three-dimensional super-diffusive model for benign brain tumor segmentation Saroj Kumar Chandraa
, Manish Kumar Bajpai
Computer Science and Engineering, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India Received: 23 May 2019 / Accepted: 23 April 2020 © Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Brain is most complex and central part of the human body. Millions of cells are present in the brain. Brain tumor is extra unwanted cell in the human brain. It is mainly categorized into benign and malignant. Benign tumor cells have very similar characteristics with its surrounding cells. Its accurate detection and segmentation is very challenging task. Image segmentation methods have major contribution in detection and segmentation of these tumor cells. Segmentation methods are either boundary based or region based. These methods use traditional integral-order calculus. It has been observed that these approaches are unable to detect low variational region such as benign tumor. In the present manuscript, fractional diffusion-based benign brain tumor detection and segmentation method is being proposed. It has been observed that the proposed method is able to detect and segment benign brain tumor region more accurately. Higher accuracy has been obtained due to fractional-order derivative. Frequency domain derivative definition has been used in the proposed method due to simplicity and low computational cost. A hardware model of the proposed work has been also presented in the current manuscript. The results obtained have been compared with existing boundary-based and region-based tumor detection and segmentation methods. It has been found that the proposed method is having higher accuracy in benign brain tumor detection and segmentation with low computational cost.
1 Introduction Medical imaging techniques are comprised of invasive and non-invasive techniques. It uses different types of energy sources such as X-rays, gamma rays, visible light, ultrasound, infrared, magnetic and electric field. Each of these modalities has its own pros and cons and depends on the region of interest (ROI) of human body being observed. Computed tomography (CT) is one of the medical imaging modalities to know internal structure of human body in non-invasive way [1]. It provides information about any unhealthy tissue generation, distortion of healthy organs and presence of abstracts in the body. National Cancer Institute has reported more than 100 kinds of cancer. Brain tumor is one in that category. Brain tumors have been broadly classified into benign and malignant by World Health Organization and American Brain Tumor Association [2]. Benign brain tumors are low-grade brain tumors
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and can be diagnosed with external therapy. Malignant brain tumors are high-grade tumors and cannot be diagnosed without
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