V. Mongioj et al., Accuracy evaluation of fusion of CT, MR, and SPECT images using commercially available software packages (SRS PLATO and IFS), INT J RAD O, 43(1), 1999, pp. 227-234
Citations number
16
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Onconogenesis & Cancer Research
Journal title
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
Purpose: A problem for clinicians is to mentally integrate information from
multiple diagnostic sources, such as computed tomography (CT), magnetic re
sonance (MR), and single photon emission computed tomography (SPECT), whose
images give anatomic and metabolic information.
Methods and Materials: To combine this different imaging procedure informat
ion, and to overlay correspondent slices, we used commercially available so
ftware packages (SRS PLATO and IFS). The algorithms utilize a fiducial-base
d coordinate system (or frame) with 3 N-shaped markers, which allows coordi
nate transformation of a clinical examination data set (9 spots for each tr
ansaxial section) to a stereotactic coordinate system. The N-shaped markers
were filled with fluids visible in each modality (gadolinium for MR, calci
um chloride for CT, and Tc-99m for SPECT), The frame is relocatable, in the
different acquisition modalities, by means of a head holder to which a fac
e mask is fixed so as to immobilize the patient, Position errors due to the
algorithms were obtained by evaluating the stereotactic coordinates of fiv
e sources detectable in each modality.
Results: SPECT and MR position errors due to the algorithms were evaluated
with respect to CT: Delta x was less than or equal to 0.9 mm for MR and les
s than or equal to 1.4 mm for SPECT, by was less than or equal to 1 mm and
less than or equal to 3 mm for MR and SPECT, respectively. Maximal differen
ces in distance between estimated and actual fiducial centers (geometric mi
smatch) were in the order of the pixel size (0.8 mm for CT, 1.4 mm for MR,
and 1.8 mm for SPECT), In an attempt to distinguish necrosis from residual
disease, the image fusion protocol was studied in 35 primary or metastatic
brain tumor patients.
Conclusions: The image fusion technique has a good degree of accuracy as we
ll as the potential to improve the specificity of tissue identification and
the precision of the subsequent treatment planning, (C) 1998 Elsevier Scie
nce Inc.