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Aneuvas Technologies, Inc (ATI) is a small start-up company located in Flagstaff, AZ. ATI’s mission is to improve human healthcare by developing novel microcatheter-based medical devices for minimally invasive delivery to the blood vessels in the brain, for the treatment of aneurysms and other vascular defects. 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.

Project Constraints

For this project the team is constrained to working with DICOM files as they are the files that medical professionals use. Time is also a constraint as the program should not take more than a minute to complete an entire MRI or ultrasound image. Finally, the team must stay in budget, which is $750.

Tasks

The team has four major tasks regarding the code for this project: Reads DICOM files Differentiate the aneurysm sac from the outside vasculature Distinguish the aneurysm from the parent vessel Provide an accurate approximation of aneurysm volume This code must also be linked to a GUI which allows untrained medical professionals to analyze and visualize basic geometric properties of aneurysms.

Details of Final Design

The team chose to use a Convolutional Neural Network to create a program that learns what an aneurysm is and can identify it within the DICOM image slices. While the program accepts DICOM files, it converts them into TIFF and reads these files.

Design Alternatives and Options

The team considered other options such as using a change in differential area to map and find an aneurysm. These other designs can be found in this link.

Team Time Tables

Here is a link to all the work that each individual team member has done for the project.

Photo Gallary

Here is all of the pictures of progress the team has made with their code and research.