Git Product home page Git Product logo

mrf's Introduction

imr-framework

mrf's People

Contributors

imr-framework avatar qianenlin avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar

mrf's Issues

the slide windows

I noticed that you reconstruct the images by using 48 or partial trajectory data,but the Nature paper "MRF" said the reconstruction only need a single trajectory data,so what's the reason of your solutions?

The MIRT toolbox

Could you tell me where to put the 'irt' folder? I put it in the mrf/Image_reconstruction folder,and call setup.m, but when I call the MRF_recon_demo.m it runs error.

two problems when running the demo

Describe the bug
Running the code "demo_MRF.m" directly will report an error as follows.
Screenshots
微信图片_20240317105110

Describe the bug
On Siemens interpret, running the .seq generated from the demo code will report an error in the sixth block (ADC), indicating that the time calculation is wrong.
I have checked this reason and found that it was because the time of this block in pulseq was shorter than the ADC duration calculated. Even if I set the adcleadtime to 10us in the Pulseq code at the beginning, it was useless.
Screenshots
微信图片_20240317110115

Desktop (please complete the following information):

  • OS: Windows 11
  • Browser: chrome
  • Version: 22H2

Additional context
I hope the author can help me check the reasons for the above two problems.Thank you.

Dictionary matching code generates incorrect parameter maps

Describe the bug
When I ran MRF_dict_matching_demo.m under mrf/Dictionary_Matching using T1 array slice data, the script generates incorrect T1 and T2 maps.

To Reproduce
Steps to reproduce the behavior:

  1. Go to 'mrf/Dictionary_Matching/Data'.
  2. Load 'dict_example.mat'.
  3. Download T1 array slice data from here, T2 array slice data from here
  4. Load 'T1_plane.mat'.
  5. Run the demo code in 'mrf/Dictionary_Matching/MRF_dict_matching_demo.m'.
  6. The code generates incorrect parameter maps.

Expected behavior
The script should be able to produce T1 and T2 maps whose values agree with the true values reported by NIST. The true values can be found on NIST websites

Screenshots
These are the incorrect results given by the script.
incorrect T1 map
incorrect T2 map

Desktop

  • OS: [Windows]

Unable to download the raw data (T1_plane_raw_data.dat)

Describe the bug
The download of the raw data ("T1_plane_raw_data.dat") essential for the reconstruction process is currently unavailable, as are the "T1 array slice data" and "T2 array slice data."

To Reproduce
Steps to reproduce the behavior:

  1. Go to 'mrf/Image_Reconstruction/Data'
  2. When attempting to download using Git LFS, it shows: batch response: This repository is over its data quota.
  3. The download of 'T1_plane_raw_data.dat' is currently not possible.

Expected behavior
Hope you could update the cloud drive for us to access and download the raw data. Thank you very much!

Sequence Design code missing

In a prior commit, the sequence design code was removed and not put back, so the demo script does not run, due to the function design_spiral_pulseq() not being present, among others.

undefined variable "mr" or undefined class "mr.opts"

Describe the bug
A clear and concise description of what the bug is.

To Reproduce
Steps to reproduce the behavior:

  1. Go to 'E:\MRF\mrf-master\mrf'
  2. Click on 'Run'
  3. See error :
    undefined variable "mr" or class"mr.opts"。

error: gen_MRF_sequence_pulseq (line 27)
system = mr.opts('MaxGrad',Gmax,'GradUnit','mT/m',...

error: demo_MRF (line 7)
[kshot, dcf, ind, TR_all, FA_all, TE_all] = gen_MRF_sequence_pulseq();

where can I find the declaration of the class "mr"

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.