Student Name | School | Degree | Year | |
---|---|---|---|---|
Usama Saghir | SEECS | Undergraduate | Fourth | [email protected] |
Usman Aizaz | SEECS | Undergraduate | Fourth | [email protected] |
Mahnoor Arshad | SEECS | Undergraduate | Fourth | [email protected] |
Inter School Idea ? | No |
Do you need expertises from another area: | No |
If Yes please provide details of expertises you need: |
Idea Name: | Breast Cancer Detection via Microwave Imaging |
Slogan: | Early Detection is the best Medication |
Supervisor Name: | Dr. Nosherwan Shoaib |
Supervisor Designation: | Associate Professor |
Supervisor School: | RIMMS |
Supervisor Department: | RIMMS |
Contact number: | +923315999039 |
Email ID: | [email protected] |
Abstract: | |
The goal of this project is to build an integrated microwave imaging system with bandwidth of 2-6 GH for the early detection of breast cancer. The system is used to detect and localize tumors. | |
What is the unmet need in society that your idea will fulfill ? | |
According to statistics, Pakistan has the highest incidence of breast cancer among Asian countries. In 2020 alone 25,928 new cases were recorded of breast cancer in females while 13,725 deaths were recorded due to breast cancer. The only possible solution to control this situation is early detection | |
Who needs it ? How many would benefit ? | |
It is approximated that 1 in every 9 Pakistani women is at risk of breast cancer. These statistics are alarming because female contributes to 48% of our population. Hence, a new inexpensive and efficient method for breast cancer detection is much needed in Pakistan. | |
How will the solution works | |
The prototype hardware will consist of two Vivaldi antennas (one transmitter and one receiver) to send non-ionizing microwaves and measure the scattering signal from the target. The high contrast object emulating the tumor has a higher dielectric constant as compared to healthy tissue cells. The scattered signals from the target object are measured using a vector network analyzer and will be processed through an open-source imaging algorithm known as as Microwave Radar-based Imaging Toolbox. | |
Who are your competitors ? How is your solution different | |
Commercially used techniques used for breast cancer detection, like X-ray mammography have a high false-negative rate (4–34%) and high false-positive rate (70%). Similarly, Magnetic Resonance Imaging (MRI) fails to detect small tumors (less than 7 mm) and slow-growing, less active tumors. | |
Status: | new |
Entry Date & Time: | 2021-12-10 (1529) |