The Open App Catalog (The OAK) for research in medical imaging

GIN_pipeline_T1

Algorithm: cv

Name: GIN_pipeline_T1

Algorithm Type: QUANTITATIVE_T1_ESTIMATION

Algorithm Description: The pipeline consists of a voxel-by-voxel fitting using : i) the function :  y=abs( a( 1- 2bexp(-Ti/T1))) and ii)  a non-linear least-squares fit based on the Levenberg-Marquardt algorithm

Version: 0.6

Authors: Deruelle Tristan

Laboratory:    Grenoble Institut des Neurosciences

Institute: Inserm U1216

Scientific Paper: --

Technical Description: --

Tags: Generate a T1_map from a Saturation/Recuperation (SR) sequence

Free tags: --

Modalities: MR

Input data:    Nifti data: ( N 3D volume)

  - Json Data : Metadata associated to the Nifti data (N files)

  OR

  - Nifti data  : ( One 4D volume : 3D volume + 1D through Inversion Times)

  - Json Data : Metadata associated to the Nifti data (1 file)"

Code repository: VIP / Relaxometry

 

GIN_pipeline_T2

Algorithm: Fit MRI data in order to get a T2map

Name: GIN_pipeline_T2

Algorithm Type: QUANTITATIVE_T2_ESTIMATION

Algorithm Description: The pipeline consists of a voxel-by-voxel fitting using : i) the function : y=abs(a.exp(-TE/T2))  and ii)  a non-linear least-squares fit based on the Levenberg-Marquardt algorithm

Version: 0.3

Authors: Lemasson Benjamin

Laboratory: Grenoble Institut des Neurosciences

Institute: Inserm U1216

Scientific Paper: --

Technical Description: --

Tags: Generate a T2_map from a Multi Spin Echo Sequence

Free tags: --

Modalities: MR

Input data: "Nifti data  : ( a 4D volume)

  - Nifti data  : one 4D volume : 3D volume + 1D through Spin Echo Times

  - Json Data : Metadata associated to the Nifti data (1 file)"

Code repository: VIP / Relaxometry