Medical image processing apparatus and method to generate and display third parameters based on first and second images
According to an embodiment, a medical image processing apparatus includes a storage, processing circuitry and a display. The storage stores a first image obtained by capturing a target region of a subject and a second image obtained by capturing the target region. The circuitry is configured to modify a first parameter of each of pixels of the first image based on a second parameter of each corresponding pixel of the second image and a function of the second parameter to generate a third parameter. The display displays a display image based on the third parameter which the processing circuitry determines for each of the pixels.
1. A medical image processing apparatus, comprising:
a memory which stores a first image, which is a CT image obtained by capturing a target region of a subject, and a second image, which is a PET image obtained by capturing the target region;
processing circuitry configured to modify a first parameter of each pixel of the first image based on a second parameter of each corresponding pixel of the second image and based on a function of the second parameter, to generate a third parameter corresponding to each pixel, wherein the function includes a contribution ratio of the second image to the first image; and
a display which displays a display image based on the generated third parameter for each of the pixels, wherein
when the first parameter, the second parameter, and the third parameter represent opacities, the third parameter O′ CT is defined as
O
CT
′
=
{
f
(
0
≤
f
≤
1
)
1
(
f
>
1
)
0
(
f
<
0
)
where f is defined as f(p,q,α)=O CT (p)−α(1−O PET (q)) or f(p,q,α)=O CT (p)·exp {−α(1−O PET (q))}, and O CT (p) is the first parameter of the first image, and O PET (q) is the second parameter of the second image, and a is a contribution ratio; and
when the first parameter, the second parameter, and the third parameter represent color values, the third parameter E(C′ CT ) is defined as
E
(
C
CT
′
)
=
{
e
(
0
≤
e
≤
255
)
255
(
e
>
255
)
0
(
e
<
0
)
where e represents R element, G element, and B element, and is defined as e(p,q,β)=E(C CT (p))−β(255−E(C PET (q))) or e(p,q,β)=E(C CT (p))·exp {−β(255−(E PET (q)))}, and C CT (p) is the first parameter of the first image, C PET (q) is the second parameter of the second image, β is a contribution ratio.
2. The medical image processing apparatus according to claim 1 , wherein:
the first image is a morphological image, and
the second image is a functional image.
3. The medical image processing apparatus according to claim 1 , wherein:
the first parameter and the second parameter comprise at least one of pixel values including opacity and a color value.
4. The medical image processing apparatus according to claim 1 , wherein:
the processing circuitry determines, for each pixel, the third parameter such that the third parameter and the second parameter have a positive correlation or a negative correlation.
5. The medical image processing apparatus according to claim 4 , wherein:
the processing circuitry switches the positive correlation or the negative correlation based on a kind of physical values shown in the pixels of the second image.
6. The medical image processing apparatus according to claim 1 , wherein:
the second image is a functional image generated from a plurality of time phase images.
7. The medical image processing apparatus according to claim 1 , wherein the function includes the contribution ratio of the second image to the first image with respect to an opacity.
8. The medical image processing apparatus according to claim 1 , wherein the function includes the contribution ratio of the second image to the first image with respect to a color value.
9. The medical image processing apparatus of claim 1 , wherein the processing circuitry is further configured to receive a value of the contribution ratio, which is determined based on input by a user.
10. The medical image processing apparatus of claim 1 , wherein each pixel of the display image is equal to a CT value of a corresponding pixel in the first image.
11. A medical image processing apparatus, comprising:
a memory which stores a first image, which is a CT image obtained by capturing a target region of a subject and a second image, which is a PET image obtained by capturing the target region;
processing circuitry configured to modify a first parameter of each pixel of the first image based on a second parameter of each corresponding pixel of the second image and based on a function of the second parameter, to generate a third parameter corresponding to each pixel, wherein the function includes a contribution ratio of the second image to the first image; and
a display which displays a display image in which a region corresponding to the subject of the first image is shown, by assigning the third parameter to each of the pixels generated by the processing circuitry, wherein
when the first parameter, the second parameter, and the third parameter represent opacities, the third parameter O′ CT is defined as
O
CT
′
=
{
f
(
0
≤
f
≤
1
)
1
(
f
>
1
)
0
(
f
<
0
)
where f is defined as f(p,q,α)=O CT (p)−α(1−O PET (q)) or f(p,q,α)=O CT (P)_exp {−α(1−O PET (q))}, and O CT (p) is the first parameter of the first image, and O PET (q) is the second parameter of the second image, and a is a contribution ratio; and
when the first parameter, the second parameter, and the third parameter represent color values, the third parameter E(C′ CT ) is defined as
E
(
C
CT
′
)
=
{
e
(
0
≤
e
≤
255
)
255
(
e
>
255
)
0
(
e
<
0
)
where e represents R element, G element, and B element, and is defined as e(p,q,β)=E(C CT (p))−β(255−E(C PET (q))) or e(p,q,β)=E(C CT (p))·exp {−β(255−(E PET (q)))}, and C CT (p) is the first parameter of the first image, C PET (q) is the second parameter of the second image, β is a contribution ratio.
12. A medical image processing method, comprising:
modifying a first parameter of each pixel of a first image, which is a CT image obtained by capturing a target region of a subject, based on a second parameter of each corresponding pixel of a second image, which is a PET image obtained by capturing the target region and based on a function of the second parameter, thereby generating a third parameter corresponding to each pixel, wherein the function includes a contribution ratio of the second image to the first image; and
displaying a display image based on the generated third parameter determined for each of the pixels, wherein
when the first parameter, the second parameter, and the third parameter represent opacities, the third parameter O′ CT is defined as
O
CT
′
=
{
f
(
0
≤
f
≤
1
)
1
(
f
>
1
)
0
(
f
<
0
)
where f is defined as f(p,q,α)=O CT (p)−α(1−O PET (q)) or f(p,q,α)=O CT (p)·exp {−α(1−O PET (q))}, and O CT (p) is the first parameter of the first image, and O PET (q) is the second parameter of the second image, and a is a contribution ratio; and
when the first parameter, the second parameter, and the third parameter represent color values, the third parameter E(C′ CT ) is defined as
E
(
C
CT
′
)
=
{
e
(
0
≤
e
≤
255
)
255
(
e
>
255
)
0
(
e
<
0
)
where e represents R element, G element, and B element, and is defined as e(p,q,β)=E(C CT (p)−β(255−E(C PET (q))) or e(p,q,β)=E(C CT (p))·exp {−β(255−(E PET (q)))}, and C CT (p) is the first parameter of the first image, C PET (q) is the second parameter of the second image, β is a contribution ratio.
13. A medical image diagnosis apparatus, comprising:
first processing circuitry configured to capture a first image, which is a CT image of a target region of a subject, and a second image, which is a PET image of the target region of the subject;
second processing circuitry configured to modify a first parameter of each pixel of the first image based on a second parameter of each corresponding pixel of the second image and based on a function of the second parameter, to generate a third parameter corresponding to each pixel, wherein the function includes a contribution ratio of the second image to the first image; and
a display which displays a display image based on the generated third parameter for each of the pixels, wherein
when the first parameter, the second parameter, and the third parameter represent opacities, the third parameter O′ CT is defined as
O
CT
′
=
{
f
(
0
≤
f
≤
1
)
1
(
f
>
1
)
0
(
f
<
0
)
where f is defined as f(p,q,α)=O CT (p)−α(1−O PET (q)) or f(p,q,α)=O CT (p)·exp {−α(1−O PET (q))}, and O CT (p) is the first parameter of the first image, and O PET (q) is the second parameter of the second image, and a is a contribution ratio; and
when the first parameter, the second parameter, and the third parameter represent color values, the third parameter E(C′ CT ) is defined as
E
(
C
CT
′
)
=
{
e
(
0
≤
e
≤
255
)
255
(
e
>
255
)
0
(
e
<
0
)
where e represents R element, G element, and B element, and is defined as e(p,q,β)=E(C CT (p))−β(255−E(C PET (q))) or e(p,q,β)=E(C CT (p))·exp {−β(255−(E PET (q)))}, and C CT (p) is the first parameter of the first image, C PET (q) is the second parameter of the second image, β is a contribution ratio.