Biomedical Engineering Reference
In-Depth Information
FIGURE 12.5: Measurements of a mouse with fluorescent biodistribution in
the lung. (a) white light image; (b) transillumination excitation light meas-
urement; (c) transillumination fluorescence measurement; (d) normalized flu-
orescence measurement.
measurements. One such approach is termed as the normalized Born approx-
imation [35]. In this method, Equation 12.22 is divided by a measurement at
the emission wavelength:
Z
em
(r;r
s
;!)
ex
(r;r
s
;!)
g
em
(r;r
0
;!)O
f
(r
0
;!)
ex
0
(r
0
; r
s
;!)dr
0
=
ex
0
(r
0
;r
s
;!)
(12.19)
where is a constant that accounts for gain factors. This normalization elim-
inates instrumentation-related effects, and reduces the sensitivity of the re-
construction to errors in optical properties. For one source-detector pair the
resulting linear problem formulated in terms of Green's functions is given by
=
X
G(r
0
;r
s
;!)n(r
0
)G(r;r
d
;!)
G(r
d
;r
s
;!)
em
(r
d
;r
s
;!)
ex
(r
d
;r
s
;!)
dV:
(12.20)
The right-hand side is a sum over the voxels into which the imaged volume
V is discretized. The Green's functions G can be computed using analytical
methods [35, 37, 9] or numerical methods [23, 43] such as the Finite Element
Method or Finite Volume Method. G(r
0
;r
s
;!) represents the Green's function
describing light propagating from source position r
s
to position r inside the
volume, G(r
0
;r
s
;!) describes the light propagating from the point inside the
volume to the detector position r
d
and G(r
d
;r
s
;!) is the normalization term.
The volume of the voxels is included by the term dV and n(r
0
) is the unknown
fluorochrome distribution inside the volume. For the total number of source-
detector pairs N
data
, the resulting linear problem is written as
y = Wn
(12.21)
where y of size 1 N
data
is the normalized data computed from the meas-
urements at the surface, W of size N
data
N
voxels
is called the weight matrix
and n of size 1 N
voxels
denotes the fluorescent source distribution.
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