Fm. Carrascal et al., AUTOMATIC CALCULATION OF TOTAL LUNG CAPACITY FROM AUTOMATICALLY TRACED LUNG BOUNDARIES IN POSTERO-ANTERIOR AND LATERAL DIGITAL CHEST RADIOGRAPHS, Medical physics, 25(7), 1998, pp. 1118-1131
Total lung capacity (TLC) is a very important parameter in the study o
f pulmonary function. In the pulmonary function laboratory, it is norm
ally obtained using plethysmography or helium dilution techniques. Sev
eral authors have developed methods of calculating the TLC using poste
ro-anterior (PA) and lateral chest radiographs. These methods have not
been often used in clinical practice. In the present work, we have de
veloped an automated computer-based method for the calculation of TLC,
by determining the pulmonary contours from digital PA and lateral rad
iographs of the thorax. The automatic tracing of the pulmonary borders
is carried out using: (1) a group of reference lines is determined in
each radiograph; (2) a family of rectangular regions of interest (ROI
s) defined, which include the pulmonary borders, and in each of them t
he pulmonary border is identified using edge enhancement and threshold
ing techniques; (3) removing outlaying points from the preliminary bou
ndary set; and (4) the pulmonary border is corrected and completed by
means of interpolation, extrapolation, and are fitting. The TLC is cal
culated using a computerized form of the radiographic ellipses method
of Barnhard. The pulmonary borders were automatically traced in a tota
l of 65 normal radiographs (65 PA and 65 lateral views of the same pat
ients). Three radiologists carried out a subjective evaluation of the
automatic tracing of the pulmonary borders, with a finding of no error
or only one minor error in 67.7% of the PA evaluations, and in 75.9%
of the laterals. Comparing the automatically traced borders with borde
rs traced manually by an expert radiologist, we obtained a precision o
f 0.990 +/- 0.001 for the PA view, and 0,985 +/- 0.002 for the lateral
. The values of TLC obtained by the automatic calculation described he
re showed a high correlation (r = 0.98) with those obtained by applyin
g the manual Barnhard method. (C) 1998 American Association of Physici
sts in Medicine.