HighTech Data & Software

Transform Healthcare With Powerful Data

Search, compile and source our curated medical scans and metadata to train your AI

        Radiology Dataset
    
AI Processing
                
                    Source
                    ✓
                
                    Metadata
                    ✓
                
                    DICOM Validation
                    ✓
                
                    Quality Check
                    ✓
                
                Search
            
                Compile
            
                Validate
            
                AI Ready

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📧 president@hightechequipment.ca 📞 +1 (647) 551-1845

Enterprise Grade De-Identified Medical Data For Training

Our data supports a wide range of use cases, including medical imaging, predictive analytics, disease detection, and healthcare research.

Our end-to-end services include two forms of data to aid your AI Training

Image Data in the form of scans

Metadata (Frame Rate, Procedure, Machine Details, Slices, Demographics, etc)

Datasets include specialized details of Radiography, including X-rays, CT scans, MRI and Mammography.

Need a custom dataset?
Our team can source and curate datasets tailored to your research or AI training requirements.

Medical Images

✓ MRI

✓ CT Scan

✓ X-Ray

✓ Mammography
Metadata

✓ Patient Age

✓ Modality

✓ Procedure

✓ Resolution
AI Models

✓ Detection

✓ Classification

✓ Segmentation

Demonstration

Sample Metadata


{
  "study": "MRI BRAIN",
  "modality": "MR",
  "study_date": "2025-10",
  "study_time": "14:26:07",
  "patient_id": "DEMO-001",
  "patient_sex": "M",
  "patient_age": "80Y",
  "body_part": "HEAD",
  "manufacturer": "Sample 1",
  "manufacturer_model_name": "Sample 1",
  "series_description": "COR T2 PROPELLER",
  "protocol_name": "BRAIN FAST",

  "rows": 512,
  "columns": 512,
  "slice_thickness": 5,
  "pixel_spacing": [0.4688, 0.4688],

  "image_type": [
    "ORIGINAL",
    "PRIMARY",
    "OTHER"
  ],

  "patient_orientation": "Unknown",

  "acquisition_number": 1,

  "instance_count": 370,
  "series_count": 1,
  "source_file_count": 370,

  "character_set": "ISO_IR 100",

  "series_date": "2025-10",
  "acquisition_date": "2025-10",
  "content_date": "2025-10",

  "series_time": "14:37:15",
  "acquisition_time": "14:37:16",
  "content_time": "14:37:16",

  "software_versions": [
    "Sample 1",
  ],

  "instance_number": 14,

  "samples_per_pixel": 1,

  "photometric_interpretation": "MONOCHROME2",

  "bits_allocated": 16,
  "bits_stored": 16,
  "high_bit": 15,

  "pixel_representation": 1,

  "window_center": 1979,
  "window_width": 3958,

  "dataset_status": "AI Ready",
  "quality_validation": "Verified",
  "format": "DICOM"
}

Sample Metadata


{
  "study": "MRA NECK + BRAIN",
  "modality": "MR",
  "study_date": "2026-02",
  "study_time": "18:36:01",

  "patient_id": "DEMO-002",
  "patient_sex": "O",
  "patient_age": "67Y",

  "body_part": "HEAD",

  "manufacturer": "Sample 2",
  "manufacturer_model_name": "Sample 2",

  "series_description": "FILT_PHA: Ax eSWAN",
  "protocol_name": "BRACHIAL PLEXUS",

  "rows": 512,
  "columns": 512,

  "slice_thickness": 4,

  "pixel_spacing": [
    0.4688,
    0.4688
  ],

  "image_type": [
    "ORIGINAL",
    "PRIMARY",
    "OTHER"
  ],

  "patient_orientation": "Unknown",

  "acquisition_number": 1,

  "instance_count": 313,
  "series_count": 1,
  "source_file_count": 313,

  "character_set": "ISO_IR 100",

  "series_date": "2026-02",
  "acquisition_date": "2026-02",
  "content_date": "2026-02",

  "series_time": "19:02:59",
  "acquisition_time": "19:02:59",
  "content_time": "19:02:59",

  "software_versions": [
    "Sample 2",
  ],

  "instance_number": 25,

  "samples_per_pixel": 1,

  "photometric_interpretation": "MONOCHROME2",

  "bits_allocated": 16,
  "bits_stored": 16,
  "high_bit": 15,

  "pixel_representation": 1,

  "window_center": 36,
  "window_width": 5384,

  "dataset_status": "AI Ready",
  "quality_validation": "Verified",
  "format": "DICOM"
}

Sample Metadata


{
  "study": "LT KNEE",
  "modality": "MR",
  "study_date": "20260226",
  "study_time": "165651",
  "patient_sex": "M",
  "patient_age": "41Y",
  "body_part": "KNEE",
  "manufacturer": "Sample 3",
  "manufacturer_model_name": "Sample 3",
  "station_name": "Sample 3",
  "series_description": "3-Plane Loc",
  "protocol_name": "KNEE NEW",
  "accession_number": "Unknown",
  "rows": "512",
  "columns": "512",
  "slice_thickness": "5",
  "pixel_spacing": "['0.3516', '0.3516']",
  "image_type": "['ORIGINAL', 'PRIMARY', 'OTHER']",
  "patient_orientation": "Unknown",
  "acquisition_number": "1",
  "instance_count": 15,
  "series_count": 1,
  "source_file_count": 15,
  "character_set": "ISO_IR 100",
  "series_date": "20260226",
  "acquisition_date": "20260226",
  "content_date": "20260226",
  "series_time": "165651",
  "acquisition_time": "165651",
  "content_time": "165651",
  "software_versions": "['Sample 3',]",
  "instance_number": "10",
  "samples_per_pixel": "1",
  "photometric_interpretation": "MONOCHROME2",
  "bits_allocated": "16",
  "bits_stored": "16",
  "high_bit": "15",
  "pixel_representation": "1",
  "window_center": "3198",
  "window_width": "6396"
}

Data Samples

Explore examples of our curated radiology datasets. Each sample includes medical imaging paired with structured metadata to support AI training, research, and clinical applications.

CT-Scan

MRI

Sample Metadata
Included Information


Patient Age
Sex
Study Date
Procedure
Body Part
Modality
Manufacturer
Frame Rate
Slice Thickness
Pixel Spacing


Supported Modalities

CT • MRI • X-Ray • Mammography • Ultrasound • Fluoroscopy

AI Ready

Every dataset can be delivered with validated metadata, annotations, and quality assurance for immediate use in machine learning workflows.

Contact Us

Fill out the form to get in touch with any inquiries or interest.

Transform Healthcare With Powerful Data

Radiology Dataset

AI Processing

Contact Us

Enterprise Grade De-Identified Medical Data For Training

Demonstration

Data Samples

Sample Metadata

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