MRI-Based Brain Tumor Detection: Design & Implementation

1. Introduction

1.1 Problem Summary and Introduction

Tumor is defined as the abnormal growth of the tissues. Brain tumor is an abnormal mass of tissue in which cells grow and multiply uncontrollably, seemingly unchecked by the mechanisms that control normal cells. Brain tumors can be primary or metastatic, and either malignant or benign. A metastatic brain tumor is a cancer that has spread from elsewhere in the body to the brain.

Epilepsy is a brain disorder in which clusters of nerve cells, or neurons, in the brain sometimes signal abnormally.

Neurons normally generate electrochemical impulses that act on other neurons, glands, and muscles to produce human thoughts, feelings, and actions. In epilepsy, the normal pattern of neuronal activity becomes disturbed, causing strange sensations, emotions, and behaviour or sometimes convulsions, muscle spasms, and loss of consciousness.

Magnetic Resonance Imaging (MRI) is an advanced medical imaging technique used to produce high quality images of the parts contained in the human body MRI imaging is often used when treating brain tumours, ankle, and foot.

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From these high-resolution images, we can derive detailed anatomical information to examine human brain development and discover abnormalities.

2. Design

2.1 Empathy Canvas:

Our domain is Online bus pass renewal and ticket booking, as we know there are many cases of brain tumor in the world, and also the current technology used in detecting brain tumor is not upto mark as compared to new arising technologies. So here our primary focus is on patients, doctors, lab technicians and nurse.

2.2 AEIOU Canvas:

In this canvas, activities, environment in which the application works, interactions between users and application, objects and users are defines.

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2.3 Ideation Canvas:

Ideation canvas helped to identify new users other than the users in empathy canvas example, entrepreneurs. Also the situations or problems the users or developer may face we were identified. We also listed out the possible solutions to it. We explored various approaches to innovative thinking and techniques for idea generation from arrange of sources.

2.4 Product Development Canvas:

In this canvas, we could define the purpose of our application, how the application will be beneficial to the users, how the application will function, its features, the components used and certain features that should be resigned and retained. We developed the idea of failure-when designed to occur early and cheaply-can be a rich source of learning that often reveals new options and nearly always leads to be better final outcome.

3. Implementation

3.1 Research Paper Summary:

Online Buspass Generation System using Web Application

Online Bus pass generation is useful for students who are facing problems with the current manual work of bus pass registration and renewal. The students need to register by submitting their details through online. After registration an OTP code will be send to student's mail. The administrator will verify the student details and if they are satisfied they will approve bus pass. The pass will be generated and send to student's mail. The student can login with their college, idno and password and then renewal can be performed.

In this the student has to give complete details about himher to create a new account. After successfully creating the account the user can able to perform the online bus pass facility. All the transactions are performed based on the student id.

After registration an OTP code is sent to student's mail. After entering the code he can proceed with next step.Once the user submit their detail, their information can be viewed by admin and he will approve the buspass.This will allow only authorized students. Students can pay the amount for the bus pass through credit card. They can also pay through net banking. The amount paid through online must be secure and it should reach the authenticated user. All the transactions that is done must be committed properly.After providing all the necessary details like nemesis, college name, phone number, photoetc ,the details will be submitted to the admin.Theadmin verifies and the detail and authenticate them. If the admin approves the user as trusted one then the bus Pass will be generated and send to the student's mail. The student can login to his account for the renewal of buspass.The student has to enter student id and the necessary details. Then the payment process will be carried out. Once the process is completed the user bus pass will be renewed automatically and send to student's mail.

This project is useful for the students who are facing problems with the current manual work of bus pass registration and renewal. It will send an email for the students before completion of his validity period.


  • Review of Brain Tumor Detection Techniques, Rashmi Bajaj, Mr. Shadab Ali International Journal of Computer Science and Mobile Computing, Vol.8 Issue.7, July- 2019, pg. 183-187.
  • Detecting Brain Tumour From Mri Image Using Matlab Gui Programme, Esmail Hassan and Abobakr Aboshgifa, International Journal of Computer Science & Engineering Survey (IJCSES) Vol.6, No.6, December 2015.
  • Brain Tumour Extraction from MRI Images Using MATLAB ,Rajesh C. Patil, Dr. A. S. Bhalchandra, International Journal of Electronics, Communication & Soft Computing Science and Engineering ISSN: 2277-9477, Volume 2, Issue 1
  • Method and System for Automatic Detection and Segmentation of Tumors and Associated Edema (Swelling) in Magnetic Resonance (Mri) Images, Mark Schmidt, Russell Greiner, Albert D. Murtha United States Patent Application Publication.
  • Matei Mancas, Bernard Gosselin, Beno?t macq, "Segmentation Using a Region Growing Thresholding"
  • A Review Paper on Brain Tumor Segmentation and Detection Ms. Priya Patil Ms. Seema Pawar Ms. Sunayna Patil Prof. Arjun Nichal International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering ISO 3297:2007 Certified Vol. 5, Issue 1, January 2017

Updated: Nov 30, 2023
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MRI-Based Brain Tumor Detection: Design & Implementation. (2019, Nov 30). Retrieved from

MRI-Based Brain Tumor Detection: Design & Implementation essay
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