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The program works in the following manner:
1. Load preliminary scan and obtain regions of interest from operator.
2. Estimate k as an average value of:
where L
indicates a low-energy measurement with tissue-equivalent material
tissue
interposed by the filter drum, and L
Note: The subscript " air " designates the filter drum segment that is empty (i.e., contains neither
bone- nor tissue-equivalent material).
3. Using this value of k, calculate Q for each point scanned using the formula given above
(Q = L - kH). This array of Q values constitutes a "Q scan". Displays the Q scan.
4. Compile a histogram of the Q values. Because a large portion of the scan contains soft
tissue only, this histogram will have a large peak. Choose a threshold value just above
this peak, and apply that value to discriminate, point by point in the Q scan, between
"bone" points (whose Q is above the threshold) and "non-bone" points (whose Q is
below the threshold).
5.
Use the "non-bone" points to calculate a baseline value for each scan line. Using these
points, form a new histogram and repeat steps 4 and 5 until the results converge.
6.
Smooth the segment boundaries to eliminate isolated noise-generated "bone" points.
7.
Display the "bone" and "non-bone" points for operator approval.
8.
Determine the constant of proportionality (d
(grams). That constant is determined by measuring how much Q shifts when bone-
equivalent material is interposed by the filter drum.
9.
Calculate the total bone mineral values by adding up the Q values for all "bone" points
in each region of interest (e.g., each vertebra), and multiplying by d
10. Determine the bone areas by counting the number of "bone" points in each region of
interest.
11. Calculate bone mineral density as:
Section 1 - Introduction
k = [L
- L
] / [H
tissue
air
tissue
, H
air
Figure 1-2. Q Scan Plot
- H
]
air
and H
are similarly defined.
tissue
air
) that relates the Q values to actual BMC
0
.
0
1-3
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