From f4fa07524875b063ee2bf73b076fb8068614a9d3 Mon Sep 17 00:00:00 2001 From: Hieu LE XUAN <hieu.le-xuan@irit.fr> Date: Tue, 4 Feb 2025 17:09:19 +0000 Subject: [PATCH] Update README --- README.md | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 18c13fc..feee9e2 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,12 @@ # BSRPCA -This repo contains code for BSRPCA, a method to do ULM processing by jointly perform deconvolution, tissue filtering and super resolution at the same time. +This repo contains code for **BSRPCA**, a method to do ULM processing by jointly perform deconvolution, tissue filtering and super resolution at the same time. ## Getting started Please refer to the .m files for running code for experiment. -BSRPCA_convergent.m refers to the function implementation of our method while the invivo_exp.m contains a quick example of how to use our method with a sample vivo dataset. +`BSRPCA_convergent.m` refers to the function implementation of our method while the `invivo_exp.m` contains a quick example of how to use our method with a sample vivo dataset. Our method is designed to be compatible with and based on the LOTUS Software - PALA : https://github.com/AChavignon/PALA @@ -14,6 +14,16 @@ Please refer to the above software Repository to download required dependencies Other methods and functions are from: https://github.com/phamduonghung/fast_BDRPCA and https://github.com/ning22/Fast-Single-Image-Superresolution/tree/master +## Datasets and Results + +The in-vivo dataset contains **80** blocks, each with a spatial resolution of **160x128** and **500** frames per block (some irrelevant parts were excluded). The data was acquired at UMR 1253, iBrain, University of Tours, France. + + +The rendering results (Spatial Resolution: 1601 x 1281) for invivo dataset could be found in the files below: + +- `rs_ulm_full.mat`: the rendering result of RS-ULM +- `our_method.mat`: the rendering result of BSRPCA + ## Authors and acknowledgment Xuan-Hieu Le, Jean-Pierre Remeniéras, Denis Kouame, and Duong-Hung Pham -- GitLab