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. 2023 Nov 22;10(6):066501. doi: 10.1117/1.JMI.10.6.066501

Table 1.

Description of CT and MRI datasets.

Dataset Database Description Imaging modality used for our study Number of patients acquired for our study
Low-dose CT image and projection data (LDCT-and-projection-data) TCIA The library contains a collection of medical scans, including noncontrast head CT scans used to assess cognitive or motor deficits, low-dose noncontrast chest scans for screening high-risk patients for lung nodules, and contrast-enhanced abdominal CT scans to detect metastatic liver lesions. The collection includes a total of 99 head scans, 100 chest scans, and 100 abdominal scans CT 55
ACRIN-FMISO-Brain TCIA The ACRIN 6684 clinical trial aimed to link baseline FMISO PET uptake and MRI metrics with overall survival, disease progression time, and 6-month progression-free survival in individuals recently diagnosed with glioblastoma multiforme (GBM). The collection comprises MRI, PET, and low-dose CT images CT 1
The CPTAC-LSCC TCIA This dataset consists of individuals from the CPTAC-LSCC cohort, established by the National Cancer Institute. TCIA hosts radiology (CT and PET) and pathology images of CPTAC patients CT 1
Cortical myelin measured by the T1W/T2W ratio in individuals with depressive disorders and healthy controls OpenNeuro The dataset is a part of the ongoing longitudinal study that measures cortical myelin in individuals with depressive disorders and healthy controls. The current dataset includes T1W, T2W, and spin echo field maps for the participants MRI 1
In-scanner head motion and structural covariance networks OpenNeuro This dataset consists of whole brain T1W MRI scans obtained in healthy adult controls. Each participant has two MRI scans: an MRI scan with motion-related artifacts and a usual still head MRI scan MRI 1