T2 Lesion Load Calculator
Actual separately qualified disjointT2lesion label voxel counts×physical voxel volume lesionloadmm³, not automatic segmentation or disease interpretation. Actual independently matched observations/units and protocol, not diagnosis, causal mechanism, clinical decision or validated individual prediction.
Description
T2 lesion load can be represented by the total physical volume of independently qualified disjoint lesion labels.
T2 lesion load can be represented by the total physical volume of independently qualified disjoint lesion labels.1
This tool multiplies their summed voxel counts by voxel volume without segmenting an image.
When to use T2 Lesion Load Calculator
This tool multiplies their summed voxel counts by voxel volume without segmenting an image.
How to use T2 Lesion Load Calculator and how it works
- Prepare independently qualified disjoint t2 lesion voxel counts, voxel volume cubic mm, using the input definitions and matching units below.
- Enter the required fields and run T2 Lesion Load Calculator.
- Read result.value using the units, signs and ordering explained below.
- Correct any rejected inputs and rerun; interpret the result within the stated model and its assumptions.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| actualIndependentlyQualifiedDisjointT2LesionVoxelCounts | Actual Independently Qualified Disjoint T2 Lesion Voxel Counts. Use the units and matching context stated in the calculation below. | array of number | Required; other constraints below |
| actualVoxelVolumeCubicMm | Actual Voxel Volume Cubic Mm. Use the units and matching context stated in the calculation below. | number | Required; strictly positive; finite; other constraints below |
Require a nonempty list of disjoint qualified lesion voxel counts, each integer 0–1000000, and positive voxel volume in mm^3. Sum counts and multiply by volume for total mm^3. Disjoint labels, eligibility and voxel geometry must be established before entry; overlapping labels are not removed.
lesionVolumeMm3=sum(disjointLesionVoxelCounts)*voxelVolumeMm3 Apply the input ordering, units and branch conditions stated above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Object containing the calculated or selected fields below. | object |
| result.value | Physical volume in cubic millimeters. | number |
{
"input": {
"actualIndependentlyQualifiedDisjointT2LesionVoxelCounts": [
1,
2
],
"actualVoxelVolumeCubicMm": 2
},
"output": {
"result": {
"value": 6
}
}
}Limitations and assumptions
The calculation uses the supplied observations and model inputs. It does not collect measurements, select a reference population or coefficient, or establish that the model applies to the actual case. The stated branch conditions and output units remain part of the result.
All fields require explicit values. Unexpected fields, wrong types, nonfinite numbers and sparse arrays are rejected. Alignment, bounds and supported-token rules are explained above; extremely large inputs or nonfinite results can also fail. Input errors differ from successful false comparisons, unavailable-domain flags and empty match lists.
Alternative or Complementary methods
Use Peak Voxel Intensity Calculator for a complementary operation: A peak voxel intensity is the largest value within an independently qualified voxel set.
Use Black Hole Count Tool for a complementary operation: In this MRI context, a black-hole count concerns independently qualified T1-hypointense lesion candidates.
References
-
T2 Lesion Load Calculator — tool.io
Similar or alternative tools
- Peak Voxel Intensity Calculator
A peak voxel intensity is the largest value within an independently qualified voxel set.
- Black Hole Count Tool
In this MRI context, a black-hole count concerns independently qualified T1-hypointense lesion candidates.