C. Scarfone et al., Quantitative pulmonary single photon emission computed tomography for radiotherapy applications, MED PHYS, 26(8), 1999, pp. 1579-1588
Citations number
67
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Medical Research Diagnosis & Treatment
Pulmonary imaging using single photon emission computed tomography (SPECT)
is the focus of current radiotherapy research, including dose-response anal
ysis and three-dimensional (3D) radiation treatment planning. Improvement i
n the quantitative capability of SPECT may help establish its potential rol
e in this application as well as others requiring accurate knowledge of pul
monary blood flow. The purposes of this study were to quantitatively evalua
te SPECT filtered backprojection (FBP) and ordered subset-expectation maxim
ization (OS-EM) reconstruction implementations for measuring absolute activ
ity concentration in lung phantom experiments, and to incorporate quantitat
ive SPECT techniques in 3D-RTP for lung cancer. Quantitative FBP (nonunifor
m iterative Chang attenuation compensation, scatter correction, and 3D post
reconstruction Metz filtering) and OS-EM implementations were compared with
a "clinical" implementation of FBP (uniform multiplicative Chang attenuati
on compensation and post-reconstruction von Hann filtering), for their abil
ity to improve quantification of inactive and active spherical defects in t
he lungs of an anthropomorphic torso phantom. Activity concentration estima
tes were found to depend on many factors, such as region of interest size,
scatter subtraction constant (k), postreconstruction deconvolution filterin
g and, in the case of OS-EM, total number of iterations. In general, recons
truction implementations incorporating compensation for nonuniform attenuat
ion and scatter provided reduced bias relative to the clinical implementati
on. Potential applications to lung radiotherapy, including dose-functional
histograms and treatment planning are also discussed. SPECT has the potenti
al to provide accurate estimates of lung activity distributions that, toget
her with improved image quality, may be useful for the study and prediction
of therapeutic response. (C) 1999 American Association of Physicists in Me
dicine. [S0094-2405(99)00708-7].