ATi 3d Capstone Project

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Mission Statement

“The scope of this design project is to develop a standalone algorithm to determine the size of aneurysms. The algorithm will upload medical imaging (DICOM) files containing MRI data into MATLAB (or a similar program). Voxel images will be processed to extract the aneurysm space from the surrounding brain scans.” - ATi 3d Team

BACKGROUND

This is the final report for the ATI 3D Aneurysm Capstone project to present current progress to the sponsor Dr. Becker and Christopher Settanni at ATI (Aneuvas Technologies Inc.) as well as for credit for the fall semester of 2020, ME 376C Capstone class at NAU (Northern Arizona University). The ATI Aneurysm project’s objective is to generate a program / algorithm utilizing MATLAB that will allow the user to input a stack of Dicom files (international industry standard for medical images) and output label images of potential aneurysm location which could also be analyzed in the same program to calculate volume and dimensions. The user or client is considered to be ATI and medical professionals who do not necessarily have a background in coding or programming. The program will involve using functions, applications, and machine learning components built into or created in Matlab. The GUI(graphical user interface) will be generated separately because Matlab has limited options for GUIs.

The importance of this project is its potential to be used by medical professionals who could efficiently use this program to locate potential aneurysms and then analyze them. This would decrease time spent by a highly paid radiologist or doctor looking at hundreds of Dicom files. Specifically, ATI is a lab that is trying to and already has developed new ways to cure aneurysms, so this program could decrease valuable time spent by the lab locating aneurysms they need to find in order to make a cure for that specific to the aneurysm. For patients who might have a mild or life threatening aneurysm, they can visit a hospital or clinic that has this computer program and find out if they need to see a radiologist and or doctor minutes after their MRI or CT scan. This would be in the future if the team’s program works well enough to double check a medical professional, radiologist, or doctor. The decrease in time spent ultimately results in decreased cost for patients who are worried about a potential aneurysm and provide more confidence to radiologists and doctors.


Ahmed Almutairi

Budget Liaison

aaa998@nau.edu

Scott Barberii

Project Manager

Email: sbb227@nau.edu

 

Jackson Tomaszewski

Documents Manager & Website Developer

Email: jkt86@nau.edu

Austin Vest

Client Contact

Email: alv228@nau.edu