Over the past decade, faster CT scan times, thinner collimation, and the de
velopment of multirow detectors, coupled with the increasing capability of
computers to process large amounts of data in short periods of time, have l
ead to an expansion in the ability to create diagnostically useful two-dime
nsional (2D) and three-dimensional (3D) images within the thorax. Applicati
ons within the thorax include, but are not limited to, evaluation of pulmon
ary and systemic vasculature, evaluation of the tracheobronchial tree, and
delineation of diffuse lung disease. Pulmonary nodule volume and growth can
be more accurately predicted, and represents an improvement in the evaluat
ion of the solitary pulmonary nodule. Multiplanar images increase our under
standing of thoracic anatomy and can help to guide bronchoscopic procedures
. Because there are strengths and weaknesses to all the reconstruction algo
rithms, the utility of any given technique is dependent on the clinical que
stion to be answered. For instance, although maximum intensity projection i
maging (MIP) is helpful in the evaluation of micronodular lung disease, it
is of little value in the diagnosis of aortic dissection, As the ability to
generate faster and more precise multidimensional images grow, the demand
for such imaging is likely to increase. In this review, the authors discuss
the various reconstruction techniques available, followed by a discussion
of the clinical applications.