Radiomic detection of abnormal brain regions in tuberous sclerosis complex
We describe a whole-brain atlas-based radiomic approach to identify abnormal brain regions in TSC patients. This approach may be helpful for identifying specific regions of interest based on relatively greater signal deviation, particularly in clinical scenarios with numerous or poorly defined anatomic lesions.
Authors
- Bhavani Selvaraj
- Mai‐Lan Ho (ORCID: https://orcid.org/0000-0002-9455-1350)
- Jeremy Jones (ORCID: https://orcid.org/0000-0003-1485-9150)
- Florent Tixier (ORCID: https://orcid.org/0000-0002-9668-6574)
- Lisa Martin
- Adam P. Ostendorf (ORCID: https://orcid.org/0000-0002-9994-6650)
- Monica P. Islam
- Diana Rodriguez
- Anthony Yassall
- Mark W. Hester
Institutions
- Nationwide Children's Hospital (US)
- Rasmussen College (US)
- The Ohio State University (US)
- University of Missouri (US)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1002/mp.17400
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40