Average Cortical Thickness Calculator
Actual cortex thickness pooled by independently represented surface area, not an unweighted vertex mean or thickness estimated from cortical volume/area. Surface/vertex matching and image processing external.
Description
Mean cortical thickness can weight vertex measurements by represented surface area.
Mean cortical thickness can weight vertex measurements by represented surface area.1
It differs from an unweighted average when vertices represent unequal areas.
When to use Average Cortical Thickness Calculator
Use this tool to calculate or review the supplied observations under the stated rules. Establish the assessment or recording protocol, units, instrument version and independently applicable reference or calibration.
How to use Average Cortical Thickness Calculator and understand its results
- Establish the assessment or recording protocol, units, instrument version and independently applicable reference or calibration.
- Enter independentlyMeasuredVertexThicknessMm, matchedRepresentedSurfaceAreasSquareMm, using the field meanings and rules below, then run the tool.
- Read result.observedAreaWeightedCorticalThicknessMm. Use the units and sign conventions below.
- Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| independentlyMeasuredVertexThicknessMm | Independently measured vertex thickness mm | list of number | Required |
| matchedRepresentedSurfaceAreasSquareMm | Matched represented surface areas square mm | list of number | Required |
Require nonempty aligned nonnegative thicknesses and represented areas with positive total area. Sum thickness×area and divide by summed area; zero-area vertices contribute no weight.
areaWeightedThicknessMm=Σ(thicknessMm_i×area_i)/Σarea_i Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result; its nested fields below contain the actual calculation or selected reference | object |
| result.observedAreaWeightedCorticalThicknessMm | Observed Area Weighted Cortical Thickness Mm | number |
{
"input": {
"independentlyMeasuredVertexThicknessMm": [
2,
4
],
"matchedRepresentedSurfaceAreasSquareMm": [
3,
1
]
},
"output": {
"result": {
"observedAreaWeightedCorticalThicknessMm": 2.5
}
}
}Limitations and assumptions
Actual acquisition, assessment protocol, instrument version and calibration determine applicability. The tool does not examine a person, classify images, administer a questionnaire or choose diagnostic cutoffs.
Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use Spinal Cord Area C2 Calculator: C2 spinal-cord cross-sectional area depends on independently qualified segmentation and pixel calibration. For a complementary comparison, use Thalamic Subcortical Volume Calculator: Bilateral thalamic volume combines independently segmented left and right measurements.
References
-
Average Cortical Thickness Calculator — tool.io
Similar or alternative tools
- Spinal Cord Area C2 Calculator
C2 spinal-cord cross-sectional area depends on independently qualified segmentation and pixel calibration.
- Thalamic Subcortical Volume Calculator
Bilateral thalamic volume combines independently segmented left and right measurements.