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DICOM Metadata
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What is DICOM?
📦 The Medical Image Standard
DICOM (Digital Imaging and Communications in Medicine) is the universal format for medical images — CT, MRI, X-ray, and ultrasound worldwide all use it.
Every .dcm file contains two things fused together: the pixel data (the image) and rich metadata tags describing the patient, equipment, and acquisition parameters.
Every .dcm file contains two things fused together: the pixel data (the image) and rich metadata tags describing the patient, equipment, and acquisition parameters.
🏷️ Tags & The Data Dictionary
DICOM metadata is structured as tag–value pairs. Each tag is a hex pair like
(0010,0020). There are thousands of standardised tags covering everything from Slice Thickness to Scanner Manufacturer.
📐 Hounsfield Units & Windowing
CT scanners measure X-ray attenuation in Hounsfield Units (HU): air ≈ −1000, water = 0, bone ≈ +1000. Because a monitor shows only 256 grey levels, we window the data — choosing a centre (WL) and width (WW) to zoom in on the tissue of interest.
Try the presets above: Soft Tissue for organs, Bone for skeletal detail, Lung for airways.
Try the presets above: Soft Tissue for organs, Bone for skeletal detail, Lung for airways.
About This Dataset
🫀 Aorta CT · s629
This series is the s629 fixture used to test AIATELLA's AortaAIM pipeline — a thoracic/abdominal CT converted from NIfTI format, with 440 axial slices at 244 × 244 px.
Scroll through the slices to watch the aorta's cross-section appear, expand, and contract as you move from chest to abdomen.
Scroll through the slices to watch the aorta's cross-section appear, expand, and contract as you move from chest to abdomen.
🔬 Multi-slice CT
Modern CT scanners capture dozens of axial slices as they rotate around the patient. Stack 440 of them and you have a full 3-D volume — exactly what automated measurement software analyses.
⚙️ DICOM in AortaAIM
AortaAIM is AIATELLA's automated measurement software for the aorta. It takes a DICOM series like this one as input and automatically delivers precise clinical measurements — the kind that would otherwise require specialist manual analysis. Fast, consistent, and designed to integrate into existing clinical workflows.