CardioScans: Heart CT & MRI Data

Dataset Overview

• Total Size: 21.29 GB
• Files: 39,200 DICOM (.dcm) files
• Imaging Types: CT and MRI scans focused on cardiac imaging

Patient Metadata

The dataset includes anonymized patient information for robust analysis:

• Gender
• Age
• Anonymized Birth Dates

Anonymization Standards

To comply with GDPR and HIPAA regulations, all personally identifiable information (PII) has been removed. Patients are labeled using anonymized identifiers to ensure ethical data handling.

Key Features of the CardioScans Dataset

1. Exceptional Data Quality

• High-resolution cardiac imaging tailored for advanced research.
• Multiple imaging series per patient, showcasing diverse perspectives and protocols.

2. Research-Ready Diversity

• Rich in imaging frames, enabling applications such as:
  • Deep Learning: Train models for segmentation, disease detection, and anomaly classification.
  • 3D Reconstruction: Build volumetric models for detailed cardiac structure analysis.
  • Exploratory Studies: Gain insights into cardiac anatomy and pathology.

Applications of the CardioScans Dataset

1. Cardiac Imaging Research: Deepen your understanding of heart anatomy and pathology with detailed CT and MRI scans.
2. Deep Learning Development: Build, train, and test AI models for segmentation, classification, and disease identification.
3. 3D Modeling & Reconstruction: Develop accurate volumetric representations of the heart for clinical or research use.
4. Algorithm Innovation: Advance tools for image registration, noise reduction, and feature extraction.
5. Medical Education: Provide students and professionals with an invaluable resource for mastering cardiac imaging techniques.