An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature
Abstract This dataset provides the first annotated, openly available MRI-based imaging dataset for investigations of tongue musculature, including multi-contrast and multi-site MRI data from non-disease participants. The present dataset includes 47 participants collated from three studies: BeLong (f...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05092-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849309900279119872 |
|---|---|
| author | Fernanda L. Ribeiro Xiangyun Zhu Xincheng Ye Sicong Tu Shyuan T. Ngo Robert D. Henderson Frederik J. Steyn Matthew C. Kiernan Markus Barth Steffen Bollmann Thomas B. Shaw |
| author_facet | Fernanda L. Ribeiro Xiangyun Zhu Xincheng Ye Sicong Tu Shyuan T. Ngo Robert D. Henderson Frederik J. Steyn Matthew C. Kiernan Markus Barth Steffen Bollmann Thomas B. Shaw |
| author_sort | Fernanda L. Ribeiro |
| collection | DOAJ |
| description | Abstract This dataset provides the first annotated, openly available MRI-based imaging dataset for investigations of tongue musculature, including multi-contrast and multi-site MRI data from non-disease participants. The present dataset includes 47 participants collated from three studies: BeLong (four participants; T2-weighted images), EATT4MND (19 participants; T2-weighted images), and BMC (24 participants; T1-weighted images). We provide manually corrected segmentations of five key tongue muscles: the superior longitudinal, combined transverse/vertical, genioglossus, and inferior longitudinal muscles. Other phenotypic measures, including age, sex, weight, height, and tongue muscle volume, are also available for use. This dataset will benefit researchers across domains interested in the structure and function of the tongue in health and disease. For instance, researchers can use this data to train new machine learning models for tongue segmentation, which can be leveraged for segmentation and tracking of different tongue muscles engaged in speech formation in health and disease. Altogether, this dataset provides the means to the scientific community for investigation of the intricate tongue musculature and its role in physiological processes and speech production. |
| format | Article |
| id | doaj-art-559f760d808f4ceea0c78926366acba6 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-559f760d808f4ceea0c78926366acba62025-08-20T03:53:57ZengNature PortfolioScientific Data2052-44632025-05-011211910.1038/s41597-025-05092-8An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue MusculatureFernanda L. Ribeiro0Xiangyun Zhu1Xincheng Ye2Sicong Tu3Shyuan T. Ngo4Robert D. Henderson5Frederik J. Steyn6Matthew C. Kiernan7Markus Barth8Steffen Bollmann9Thomas B. Shaw10School of Electrical Engineering and Computer Science, The University of QueenslandSchool of Electrical Engineering and Computer Science, The University of QueenslandSchool of Electrical Engineering and Computer Science, The University of QueenslandNeuroscience Research AustraliaRoyal Brisbane and Women’s HospitalRoyal Brisbane and Women’s HospitalRoyal Brisbane and Women’s HospitalNeuroscience Research AustraliaSchool of Electrical Engineering and Computer Science, The University of QueenslandSchool of Electrical Engineering and Computer Science, The University of QueenslandSchool of Electrical Engineering and Computer Science, The University of QueenslandAbstract This dataset provides the first annotated, openly available MRI-based imaging dataset for investigations of tongue musculature, including multi-contrast and multi-site MRI data from non-disease participants. The present dataset includes 47 participants collated from three studies: BeLong (four participants; T2-weighted images), EATT4MND (19 participants; T2-weighted images), and BMC (24 participants; T1-weighted images). We provide manually corrected segmentations of five key tongue muscles: the superior longitudinal, combined transverse/vertical, genioglossus, and inferior longitudinal muscles. Other phenotypic measures, including age, sex, weight, height, and tongue muscle volume, are also available for use. This dataset will benefit researchers across domains interested in the structure and function of the tongue in health and disease. For instance, researchers can use this data to train new machine learning models for tongue segmentation, which can be leveraged for segmentation and tracking of different tongue muscles engaged in speech formation in health and disease. Altogether, this dataset provides the means to the scientific community for investigation of the intricate tongue musculature and its role in physiological processes and speech production.https://doi.org/10.1038/s41597-025-05092-8 |
| spellingShingle | Fernanda L. Ribeiro Xiangyun Zhu Xincheng Ye Sicong Tu Shyuan T. Ngo Robert D. Henderson Frederik J. Steyn Matthew C. Kiernan Markus Barth Steffen Bollmann Thomas B. Shaw An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature Scientific Data |
| title | An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature |
| title_full | An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature |
| title_fullStr | An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature |
| title_full_unstemmed | An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature |
| title_short | An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature |
| title_sort | annotated multi site and multi contrast magnetic resonance imaging dataset for the study of the human tongue musculature |
| url | https://doi.org/10.1038/s41597-025-05092-8 |
| work_keys_str_mv | AT fernandalribeiro anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT xiangyunzhu anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT xinchengye anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT sicongtu anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT shyuantngo anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT robertdhenderson anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT frederikjsteyn anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT matthewckiernan anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT markusbarth anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT steffenbollmann anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT thomasbshaw anannotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT fernandalribeiro annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT xiangyunzhu annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT xinchengye annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT sicongtu annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT shyuantngo annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT robertdhenderson annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT frederikjsteyn annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT matthewckiernan annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT markusbarth annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT steffenbollmann annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature AT thomasbshaw annotatedmultisiteandmulticontrastmagneticresonanceimagingdatasetforthestudyofthehumantonguemusculature |