# Analytic heuristics for a fast DSC-MRI

## TL;DR

This paper introduces a deterministic heuristic method for fast DSC-MRI reconstruction, offering a computationally efficient alternative to existing compressed sensing techniques, with demonstrated effectiveness on real and synthetic noisy data.

## Contribution

It presents a novel deterministic heuristic approach for DSC-MRI reconstruction, supported by mathematical analysis and comparative results.

## Key findings

- Heuristic performs well on real images.
- Effective on noisy artificial phantoms.
- Offers computational advantages over compressed sensing.

## Abstract

In this paper we propose a deterministic approach for the reconstruction of Dynamic Susceptibility Contrast magnetic resonance imaging data and compare it with the compressed sensing solution existing in the literature for the same problem. Our study is based on the mathematical analysis of the problem, which is computationally intractable because of its non polynomial complexity, but suggests simple heuristics that perform quite well. We give results on real images and on artificial phantoms with added noise.