Systems and methods for lung compliance imaging
A method for computing lung compliance imaging, the method comprising obtaining one or more images of lungs, determining a spatial transformation of each voxel within the lungs between the lungs at an inhale position and the lungs at an exhale position to provide displacement vector estimates for each voxel within the lungs, performing volume change inference operations to determine a volume change between the lungs at the inhale position and the lungs at the exhale position based on an inhale region of interest, an exhale region of interest, and the displacement vector estimates for each voxel within the lungs, computing a lung compliance based on the volume change inference operations.
1. A method for computing lung compliance imaging, the method comprising:
obtaining one or more images of lungs;
determining a spatial transformation of each voxel within the lungs between the lungs at an inhale position and the lungs at an exhale position to provide displacement vector estimates for each voxel within the lungs;
performing volume change inference operations to determine a volume change between the lungs at the inhale position and the lungs at the exhale position based on an inhale region of interest, an exhale region of interest, and the displacement vector estimates for each voxel within the lungs; and
computing a lung compliance based on the volume change inference operations;
wherein the lung compliance is calculated as
L
C
(
x
)
=
vol
(
x
)
-
J
(
x
;
ϕ
)
·
vol
(
x
)
p
1
-
p
2
,
where J(x; ϕ) is the Jacobian, ϕ is the DIR solution, p 1 is a first pressure, and p 2 is a second pressure.
2. The method of claim 1 , further comprising generating and displaying an LCI image for each lung voxel according to the lung compliance equation LC(x).
3. The method of claim 1 , wherein the images of the lungs of a patient are obtained without the patient being mechanically ventilated.
4. The method of claim 1 , wherein the images of the lungs are obtained from one of four-dimensional computed tomography (4DCT), three-dimensional computed tomography (3DCT), or magnetic resonance imaging (MRI).
5. The method of claim 1 , wherein the volume change inference operations include Jacobian operations.
6. The method of claim 1 , wherein the images of the lungs are obtained from breathhold inhale and exhale computed tomography pairs.
7. A system comprising:
data processing hardware; and
memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising:
obtaining one or more images of lungs;
determining a spatial transformation of each voxel within the lungs between the lungs at an inhale position and the lungs at an exhale position to provide displacement vector estimates for each voxel within the lungs;
performing volume change inference operations to determine a volume change between the lungs at the inhale position and the lungs at the exhale position based on an inhale region of interest, an exhale region of interest, and the displacement vector estimates for each voxel within the lungs; and
computing a lung compliance based on the volume change inference operations;
wherein the lung compliance is calculated as
LC
(
x
)
=
vol
(
x
)
-
J
(
x
;
ϕ
)
·
vol
(
x
)
p
1
-
p
2
,
where J(x; ϕ) is the Jacobian, ϕ is the DIR solution, p 1 is a first pressure, and p 2 is a second pressure.
8. The system of claim 7 , wherein the operations further comprise generating and displaying an LCI image for each lung voxel according to the lung compliance equation LC(x).
9. The system of claim 7 , wherein the images of the lungs of a patient are obtained without the patient being mechanically ventilated.
10. The system of claim 7 , wherein the images of the lungs are obtained from one of four-dimensional computed tomography (4DCT), three-dimensional computed tomography (3DCT), or magnetic resonance imaging (MRI).
11. The system of claim 7 , wherein the volume change inference operations include Jacobian operations.
12. The system of claim 7 , wherein the images of the lungs are obtained from breathhold inhale and exhale computed tomography pairs.
13. A computer program product encoded on a non-transitory computer readable storage medium comprising instructions that when executed by a data processing apparatus cause the data processing apparatus to perform operations comprising:
obtaining one or more images of lungs;
determining a spatial transformation of each voxel within the lungs between the lungs at an inhale position and the lungs at an exhale position to provide displacement vector estimates for each voxel within the lungs;
performing volume change inference operations to determine a volume change between the lungs at the inhale position and the lungs at the exhale position based on an inhale region of interest, an exhale region of interest, and the displacement vector estimates for each voxel within the lungs; and
computing a lung compliance based on the volume change inference operations;
wherein the lung compliance is calculated as
LC
(
x
)
=
vol
(
x
)
-
J
(
x
;
ϕ
)
·
vol
(
x
)
p
1
-
p
2
,
where J(x; ϕ) is the Jacobian, ϕ is the DIR solution, p 1 is a first pressure, and p 2 is a second pressure.
14. The computer program product of claim 13 , wherein the operations further comprise generating and displaying an LCI image for each lung voxel according to the lung compliance equation LC(x).
15. The computer program product of claim 13 , wherein the images of the lungs of a patient are obtained without the patient being mechanically ventilated.
16. The computer program product of claim 13 , wherein the images of the lungs are obtained from one of four-dimensional computed tomography (4DCT), three-dimensional computed tomography (3DCT), or magnetic resonance imaging (MRI).
17. The computer program product of claim 13 , wherein the images of the lungs are obtained from breathhold inhale and exhale computed tomography pairs.