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App for co-registering image sequences using a novel spline-based approach

This app enhances processing speed by 40x, allowing the co-registration of a sequence of 300 frames in just 5 seconds. It is compatible with Windows and MacOS and is powered by a novel spline-based algorithm developed at MIT’s Edelman Lab. Originally designed for medical hardware, it efficiently aligns videos with rotational, transverse, and displacement adjustments.

My.Movie.mp4

Getting Started

Prerequisites

  • Python 3.12
  • Required Python packages (listed in requirements.txt)

Operating System

Depending on your operating system, we provide two separate branches:

Installation

Steps to install the project.

# Clone the repository
git clone [Windwos ot MacOS link]
cd coronary-artery-imaging

# Create and activate a virtual environment
conda env create -f environment.yml
conda activate coronary-artery-imaging

# Install required packages
pip install -r requirements.txt

App Installation

Follow the link for your desired operating system.

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