Systems in Nuclear Medicine 389
Functional parameters can be estimated from dynamically acquired NM
data by a number of different techniques such as reconstructing a tempo-
ral sequence of images, generating regions of interest (ROIs) overlaid on
the image sequence, drawing time–activity curves (TACs), and subsequently
fitting the parameters using appropriate relationships.
Theoretically, PET allows the dynamic study of any organic molecule
labeled with a positron emitter, either an organic element (
11
C,
15
O,
13
N) gen-
erating molecules chemically identical to the native ones (isotopic labeling) or
anelement not presentinnative molecules (e.g.,
18
Fto substitute H),leading to
tracermolecules that aredifferent fromnative ones(nonisotopic labeling); and
these will, therefore, be discriminated at a later stage of the metabolic chain.
In SPECT, almost all of the molecules used as tracers are different from
the native molecules, because they have to be labeled with nonbiological γ
emitter elements (
99m
Tc,
201
Tl,
123
I, etc). The radioisotopes of low Z elements
such as the biological C, O, H, and N do not have any usable artificial γ ray
emitter radioisotopes, because they are pure β emitters (β
+
or β
−
).
Apart from the advantage of isotopic labeling, PET detection efficiency and
spatial resolution are generally higher than in SPECT. Further, accurate atten-
uation correction is easy in PET, and it is difficult or almost impossible in
SPECT.
Temporal constraints in SPECT measurements are also a common source of
difficulties in studying dynamic processes.
An additional problem in SPECT is related to the gantry movement during
data acquisition. Since the projections at different angles occur at different
times during acquisition, they correspond to different tracer distributions, an
effect that is maximized in fast dynamic studies. Images reconstructed from
these incompatible projections can contain artifacts that lead to errors in the
estimation of kinetic parameters.
Most of this chapter is dedicated to PET techniques, because they are the
most representative in tracer applications.
Models are currently used in data analysis and in research projects on the
biokinetics of radiopharmaceuticals.
Amodelusesthe magnitudes and physical dimensionsof thebiological phe-
nomena being studied and may make it possible to mathematically predict
the behavior of an endogenous molecule or drug and to evaluate its concen-
tration and its active metabolites at different stages and locations, including
nonaccessible pools of the biological system.
A model is a tool for studying and understanding phenomena and, simul-
taneously, it is a shift from the experimental field to a phase of theoretical
analysis and interpretation. Models are used to gain a better knowledge of
biological systems; test new ideas, hypotheses, or other logical processes;
evaluate future consequences of the observed phenomena; secure control of
processes in specific situations, etc.
The aim of modeling in the particular case of NM is to apply analysis tools
that are appropriate for SPECT, PET data, or biological sample counting in