# Multi-Device Parallel MRI Reconstruction: Efficient Partitioning for Undersampled 5D Cardiac CINE

## TL;DR

This paper introduces a method to speed up cardiac MRI reconstruction using multiple GPUs, enabling faster and more efficient processing of high-resolution images.

## Contribution

The novelty lies in partitioning large 5D cardiac MRI datasets for parallel processing across multiple GPUs, overcoming memory limitations.

## Key findings

- Multi-GPU processing reduces reconstruction time for high-resolution cardiac MRI.
- Partitioning large datasets preserves image quality while enabling parallel computation.
- OpenCL-based system ensures cross-platform adaptability and wider applicability.

## Abstract

Cardiac CINE, a form of dynamic cardiac MRI, is indispensable in the diagnosis and treatment of heart conditions, offering detailed visualization essential for the early detection of cardiac diseases. As the demand for higher-resolution images increases, so does the volume of data requiring processing, presenting significant computational challenges that can impede the efficiency of diagnostic imaging. Our research presents an approach that takes advantage of the computational power of multiple Graphics Processing Units (GPUs) to address these challenges. GPUs are devices capable of performing large volumes of computations in a short period, and have significantly improved the cardiac MRI reconstruction process, allowing images to be produced faster. The innovation of our work resides in utilizing a multi-device system capable of processing the substantial data volumes demanded by high-resolution, five-dimensional cardiac MRI. This system surpasses the memory capacity limitations of single GPUs by partitioning large datasets into smaller, manageable segments for parallel processing, thereby preserving image integrity and accelerating reconstruction times. Utilizing OpenCL technology, our system offers adaptability and cross-platform functionality, ensuring wider applicability. The proposed multi-device approach offers an advancement in medical imaging, accelerating the reconstruction process and facilitating faster and more effective cardiac health assessment.