Medical Image Processing

Medical Image Processing: In this project, we are developing a mobile and a web application that will be used to count the extracted and transplanted follicular units. Follicular unit is a medical term that is used in hair transplant field. In hair

Project Title

Medical Image Processing

Project Area of Specialization

Artificial Intelligence

Project Summary

Medical Image Processing:

In this project, we are developing a mobile and a web application that will be used to count the extracted and transplanted follicular units. Follicular unit is a medical term that is used in hair transplant field. In hair transplant, follicular unit represents hair follicles that grow together naturally as a group. During hair transplantation, follicular units are extracted from the area of head that has extensive amount hairs. In technical terms, this area is called donor area. Then the follicular units that were extracted from donor area are transplanted in that area of head that has low amount of hairs (this area of head is called recipient area). The patient that has to transplant his hairs does not have much idea how many follicular units were removed and how many units were transplanted. There are chances that the doctor (hair transplant specialist) does not transplant the exact amount of follicular units that were extracted.

 

In the above image, we can see the extracted follicular units.

If the patient has to confirm how many follicular units were removed and how many units were transplanted, it is a very difficult task.

The above image represents the donor area. Now, you can imagine that it is a very difficult task to count these wounds. A single wound represents a single extracted follicular unit. Our project will be able to count these wounds.

This image represents the recipient area where the extracted follicular units are transplanted. Our application will be able to count these transplanted hairs as well.

By using this app, the patient will be able to know how many hairs were extracted and how many hairs were transplanted.

This application can also be used by the doctors in hair transplant centers so that they can show their patients that how many follicular units were removed and how many units were transplanted.

Project Objectives

The objective of our project is to make sure that the doctor (hair transplant specialist) transplanted the exact amount of hairs (at the recipient area of head) that were extracted from the donor area of head. This will make sure that no hairs were lost during the transplantation process. This application can be used by a doctor as well as patient to make sure that recipient area received all the hairs that were extracted from donor area.

Counting these follicular units is much difficult process. Our application will make this counting easy by capturing the donor area of head using mobile camera (or a web camera, if the user is using our web application through computer) and applying image processing techniques. 

Project Implementation Method

The project will be implemented in the forms of a mobile application and a web application.

We will implement mobile application using Android software development kit (SDK), so that our application will run in most of the mobile phones. Our mobile application will make use of mobile camera to capture the image of head. Additionally, the user will be able to upload an existing image from the mobile storage.

The web application will be implemented using Python's Django framework. We are using Python for our web application, so that it will be easy to implement image processing techniques. If the user is using web application in desktop computer, he will be able to upload image from the computer storage or capture image using web camera.

For actual counting of follicular units, we will use image processing with the combination of machine learning techniques. For image processing, OpenCV library will be used. OpenCV is actually written in C++ language but the developers of OpenCV provide us Python and Java interfaces to use OpenCV in web and mobile applications. We are not using MATLAB for image processing because MATLAB does not provide any interface to integrate it with mobile or web application.

Benefits of the Project

Our project will be beneficial for the patients who has to transplant his hairs as well as the doctors (hair transplant specialist).

There are following benifits of our project:

• Patient will be able to count extracted follicular units.
• Patient will be able to count transplanted follicular units.
• The doctors of hair transplantation will make use of this application to prove that they transplanted the exact amount of hairs that were extracted.
• The patient will pay for only the amount of transplanted hairs.
• If any of the follicular units were lost during the transplantation process, the patient can charge for that from the doctor.

Technical Details of Final Deliverable

Our team will deliver a mobile application as well as a web application as the final deliverable. These both applications will be able to count extracted and transplanted follicular units.

Mobile application will make use of Android SDK and OpenCV's Java interface to implement its functionality. The user will be able to upload an existing image of head from mobile gallery, or capture a new image using mobile camera.

Web application will make use of Python's Django fromework with integration of OpenCV to implement its functionality. If a user is using web application through desktop computer, he will be able to upload an existing image of head from computer's storage, or can capture an image using the web camera.

Final Deliverable of the Project

Software System

Core Industry

Medical

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Industry, Innovation and Infrastructure, Life on Land

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com