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Perfusion CT: a worthwhile enhancement?

¹ Southernex Imaging Group, Wesley Hospital, Chasely Street, Auchenflower, Queensland 4066, ² Wesley Research Institute, Wesley Hospital, Chasely Street, Auchenflower, Queensland 4066 and ³ Centre for Medical, Health and Environmental Physics, Queensland University of Technology, George St Brisbane Queensland 4001, Australia

View larger version (60K): [in a new window]   Figure 1. Cerebral Perfusion CT. (a) Cerebral blood volume (CBV) and (b) cerebral blood flow (CBF), mismatch post stroke suggestive of extensive penumbra.

View larger version (33K): [in a new window]   Figure 2. Perfusion CT of a lung nodule obtained using the deconvolution method. (a) CT image, (b) perfusion image. Note the heterogeneous distribution of perfusion within the nodule.

View larger version (7K): [in a new window]   Figure 3. Simple compartment model. Typical arterial, a(t), tissue, c(t), and venous, v(t), time enhancement curves. Note secondary peak in arterial curve due to recirculation.

View larger version (8K): [in a new window]   Figure 4. Perfusion scaled impulse response function (IRF). The perfusion (flow over volume) scaled IRF curve initially rises instantaneously to a plateau while all of the contrast material is in the tissue. The length of the plateau is the minimum transit time. The curve will fall to zero as the contrast material is washed out. Perfusion is given by the height of the plateau, the blood volume by the area under the curve. Mean transit time is blood volume divided by the perfusion.