Skip to main content

Table 1 Types of measurements made

From: High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer

Area measurements

Count

Numbers of particles

TotalArea

Area of selection in square pixels

AverageSize

Average size of each particle (TotalArea divided by count)

Area Fraction

The percentage of pixels in the image or selection that have been thresholded

Intensity measurements

Mean gray value

Average gray value within the selection. This is the sum of the gray values of all the pixels in the selection divided by the number of pixels

Modal gray value

Most frequently occurring gray value within the selection. Corresponds to the highest peak in the histogram

Median

The median value of the pixels in the image or selection

Shape descriptors

Circularity

4π (area/perimeter2). A value of 1.0 indicates a perfect circle. As the value approaches 0.0, it indicates an increasingly elongated polygon. Values may not be valid for very small particles

Solidity

Area/convex area

Others

Integrated density

The sum of the values of the pixels in the image or selection. This is equivalent to the product of Area and Mean Gray Value

Skewness

The third-order moment about the mean

Kurtosis

The fourth-order moment about the mean

Perimeter

The length of the outside boundary of the selection

Fit ellipse

Fit an ellipse to the selection. Uses the headings Major, Minor, and Angle. Major and Minor are the primary and secondary axis of the best-fitting ellipse. Angle is the angle between the primary axis and a line parallel to the × axis of the image

  1. The Analyze command in ImageJ counts and measures objects in thresholded images. It works by scanning the selection until it finds the edge of an object. It then outlines the object by using the wand tool, measures it by using the Measure command, fills it to make it invisible, and then resumes scanning until it reaches the end of the image or selection.