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  1. Develop a clinical platform that integrate the genetic, molecular diagnosis, pathology analysis and medical images for producing a single comprehensive clinical treatment planning.
  2. Develop intelligent methods for breast and colon cancer detection based on medical images analysis such as ultrasound, magnetic resonance imaging, and computed tomography scan images.
  3. To assess the impact of artificial intelligent integrated models on the diagnosis, classifications and treatment planning accuracy and survival rates.

Needle Tracking

1-CT acquisition

a

2-Path planning

a

3-Initial registration

a

4-Sampling

a

5-Analysis

a

Treatment Planning

Treatment planning is the procedure that describes the patient's best treatment conditions. In electroporation, treatment planning is the process in which physicians plan appropriate external electric field distribution for a patient with cancer by means of computer systems. Successful electroporation treatment aims to precisely cover the target volume with the required electric field distribution while minimizing the damage to the healthy surrounding tissue. This project works in the development of clinical workflow treatment planning system that provides physicians with Numerical and Analytical analysis of electric field distribution. The system includes medical image processing and analysis, Geometry analysis, visualization and simulation tools.





Data processing and simulation

1-Row Data

a

2-Feature Extraction

a

3-Segmentation

a

4-3D Modeling

a

5-Treatment Simulation

a

What is MITCA


A clinical application tool for facilitating the needle based clinical applications including biopsy sampling. The tool is composed of medical image processing software and smart stick hardware for physician hand error guiding. Our solution is an added technology to the biopsy sampling in needle-based diagnosis and treatment procedures.

Meet Our Doctors!


...

Dr. Radwan Qasrawi

Associate Professor

...

Ayman Faroun

programmer

...

Diala Abu Halawi

medical student

Contact us


Contact Info

Al-Quds University
, Main Campus,Abu Dis, P.O Box 89.

00972-02-2756200

00972-02-2793817

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