"3D-MRI-Seq-7: A Sequential Brain MRI Dataset for Spatio-Temporal Analysis"

"The 3D-MRI-Seq-7 dataset provides structured sequential brain MRI scans for developing and evaluating spatio-temporal analysis methods in medical imaging. This collection addresses the gap in publicly available neuroimaging resources organized for volumetric analysis, offering 50 patient cases (350 total images) equally distributed between normal brain anatomy and meningioma abnormalities\u2014the most common primary intracranial tumors.Each case consists of seven consecutive axial FLAIR MRI slices, preserving the sequential relationships essential for modeling three-dimensional anatomical structures. The dataset maintains diagnostic relevance by centering abnormal sequences on the most pathologically informative slices and selecting normal sequences from mid-volume brain regions.Acquired from verified neuroradiologist-contributed cases through Radipedia, this dataset ensures diagnostic reliability while addressing privacy concerns associated with hospital-based collections. The sequential organization enables research into temporal-aware machine learning approaches that mimic radiologists' slice-by-slice assessment methodology, supporting advancements in computer-aided diagnosis systems, volumetric image classification, and methodological benchmarking in medical AI research."