Merge branch 'main' of https://huggingface.co/datasets/barma7/oai-t2maps-epgfit

README.md

@@ -1,5 +1,14 @@
 ---
 license: mit
+language:
+- en
+tags:
+- medical
+- biology
+- cartilage
+- t2mapping
+- OAI
+pretty_name: OAI T2 maps with EPG fitting
 ---
 # Osteoarthritis Initiative (OAI) T2 Maps – EPG Fit Dataset
 
@@ -20,7 +29,7 @@ The dataset is organized by acquisition timepoints. Each main folder represents
 - **Subject folders**: Each folder name is the unique OAI subject ID (e.g., `9000099`).
 
 Within each subject folder:
-- **`t2.nii.gz`**: The T2 map computed using the EPG dictionary fitting method, specific to cartilage regions.
+- **`t2.nii.gz`**: The T2 map computed using the EPG dictionary fitting method, specific to cartilage tissue.
 - **`r2.nii.gz`**: The r-squared value of the fit (goodness of fit).
 
 ### MESE Data Location Files
@@ -33,7 +42,7 @@ For each acquisition timepoint (e.g., `00_month_mese_locations.csv`, `12_month_m
 - **dicom_mese_path**: The relative path to the original DICOM MESE data within the OAI dataset.
 - **t2map_nifti_path**: The relative path to the computed T2 map for that subject, located in this dataset.
 
-These CSV files help researchers locate the original MESE DICOM data within the OAI dataset, which may be useful for referencing or aligning with other imaging modalities.
+These CSV files will help locate the original MESE DICOM data within the OAI dataset.
 
 ### Features
 
@@ -103,7 +112,3 @@ This dataset was created based on the Osteoarthritis Initiative (OAI) dataset. T
 If you use this dataset in your research, please cite:
 
 Barbieri, M., Gatti, A.A. and Kogan, F. (2024), Improving Accuracy and Reproducibility of Cartilage T2 Mapping in the OAI Dataset Through Extended Phase Graph Modeling. J Magn Reson Imaging. https://doi.org/10.1002/jmri.29646
-
----
-
-This README now covers all necessary information in a structured, accessible way. Let me know if you’d like further adjustments!