Image scale and slice thickness convert segmented image regions into physical volume. The calculation uses the dimensions represented by pixels or voxels and the spacing between sequential slices, rather than simply counting image elements. This calibration makes measurements more meaningful when thrombus burden is compared across scans, patients, or studies, particularly when acquisition dimensions differ.
Boundary identification determines which image regions belong to the clot and therefore which regions enter the volume calculation. Consistent segmentation across sequential slices or image voxels helps ensure that the summed regions represent the same thrombus extent. This consistency strengthens comparisons of clot burden, treatment response, and outcomes across imaging assessments.
Three-dimensional analysis captures the clot's extent across multiple image planes instead of relying on a single cross-sectional view. By combining segmented regions from sequential slices or voxels, the method produces a volume that better represents overall thrombus burden. That measure can support clot characterization and evaluation of how burden relates to clinical risk or therapeutic effectiveness.
A measurement workflow begins by selecting vascular images from CT, MRI, or another applicable imaging workflow. The thrombus boundary is identified and segmented across sequential slices or image voxels, after which the enclosed regions are summed. Image scale and slice thickness are incorporated so the reported result represents physical volume for later comparison or interpretation.
Researchers may use the measurement to characterize a clot, support treatment planning, monitor changes over time, or compare outcomes between patients or studies. Repeated imaging can provide a quantitative basis for assessing treatment response, while comparisons of thrombus burden can help investigate relationships between clot size, clinical risk, and therapeutic effectiveness.
Longitudinal studies can use repeated volume measurements to track thrombus burden across imaging time points. Applying the same boundary-based segmentation and accounting for image scale and slice thickness allows observed differences to be interpreted as changes in measured clot volume. The resulting data can help evaluate treatment response and compare disease-related outcomes over time.