US 7,680,314 B2Granted

Devices, systems, and methods for improving image consistency

AssigneeSiemens Medical Solutions USA, Inc.

InventorLin Hong

Life of this patent

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Abstract

Certain exemplary embodiments can comprise a method, which can comprise automatically rendering an improved image of a target object. The improved image obtained based upon a principal mode of the target object. The principal mode of the target object can be provided to an algorithm that is adapted to derive the improved image of the target object.

Claims19

Dependent claims

A method comprising:

obtaining data from a computed tomography device;
receiving a user selection of a set of voxels of a target object comprised by said initial image;
deriving an initial segmentation of said target object, said initial segmentation based on a prominent intensity of said target object;
rendering an initial image based upon said initial segmentation;
determining a principal mode from a prior segmentation via a mean shift algorithm that comprises an evaluation of a determined voxel intensity change within said initial segmentation, wherein said mean shift algorithm comprises an evaluation of an equation:
(
x
i
+
1
,
y
i
+
1
,
z
i
+
1
)
=
∑
(
u
,
v
,
w
)
∈
Si
⁢
k
⁡
(

(
u
-
x
i
)
,
(
v
-
y
i
)
,
(
w
-
z
i
)

2
)
⁢
ω
⁡
(
u
,
v
,
w
)
⁢
(
u
,
v
,
w
)
∑
(
u
,
v
,
w
)
∈
Si
⁢
k
⁡
(

(
u
-
x
i
)
,
(
v
-
y
i
)
,
(
w
-
z
i
)

2
)
⁢
ω
⁡
(
u
,
v
,
w
)
where
(xi,yi,zi), i=0, 1, 2, . . . , is a sequence of positions starting from a given position (x0,y0,z0)
Si is said initial segmentation of said object;
k is a kernel function;
and
ω is a weight function;
providing said principal mode to an algorithm that is adapted to derive an improved image of said target object;
and
rendering said improved image of said target object.

132 more elements

Dependencies are inferred from the claim text.

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Abstract