M. Bhalla et al., DIFFUSE LUNG-DISEASE - ASSESSMENT WITH HELICAL CT - PRELIMINARY-OBSERVATIONS OF THE ROLE OF MAXIMUM AND MINIMUM INTENSITY PROJECTION IMAGES, Radiology, 200(2), 1996, pp. 341-347
PURPOSE: To evaluate assessment of diffuse lung disease with helical c
omputed tomography (CT) and maximum intensity projection (MIP) and min
imum intensity projection images. MATERIALS AND METHODS: Six patients
with suspected lung disease (the control group) and 20 patients with d
ocumented disease underwent axial helical CT through the upper and low
er lung fields. Findings on the MIP and minimum intensity projection i
mages of each helical data set were compared with findings on the thin
-section scan obtained at the midplane of the series. RESULTS: Owing t
o markedly improved visualization of peripheral pulmonary vessels (n =
26) and improved spatial orientation, MIP images were superior to hel
ical scans to help identify pulmonary nodules and characterize them as
peribronchovascular (n = 2) or centrilobular (n = 7). Minimum intensi
ty projection images were more accurate than thin-section scans to hel
p identify lumina of central airways (n = 23) and define abnormal low
(n = 15) and high (ground-glass) (n = 8) lung attenuation. Conventiona
l thin-section scans depicted fine linear structures more clearly than
either MIP or minimum intensity projection images, including the wall
s of peripheral, dilated airways (n = 3) and interlobular septa (n = 3
). MIP and minimum intensity projection images added additional diagno
stic findings to those on thin-section scans in 13 (65%) of 20 cases.
CONCLUSION: MIP and minimum intensity projection images of helical dat
a sets may help diagnosis of a wide spectrum of diffuse lung diseases.