IP Library Granted Patent US 10,311,603
Granted Patent B2
US 10,311,603 · App. 15/809,939 · Granted Jun 4, 2019

Correcting positron emission tomography image attenuation

Inventors: Yunda Li (Shenyang, CN); Yue Liu (Shenyang, CN)
Assignee: SHENYANG NEUSOFT MEDICAL SYSTEMS CO., LTD.
G06T11/005A61B5/055A61B6/037A61B6/5235G06K9/6202G06T5/50G06T7/11G06T7/30G06T11/003A61B6/032A61B6/5205A61B2576/00G06T2207/10081G06T2207/10084G06T2207/10088G06T2207/10104G06T2207/20128
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Quick Facts
Patent No.
US 10,311,603
App. No.
15/809,939
Granted
Jun 4, 2019
Kind
B2
Abstract

Method of correcting PET image attenuation and PET/MRI devices are provided. In one aspect, an MRI image of a subject is segmented to obtain respective MRI sub-images corresponding to attenuation units of the subject, respective pseudo CT sub-images corresponding to the MRI sub-images are obtained based on an MRI-CT atlas, the respective pseudo CT sub-images corresponding to the MRI sub-images are spliced to obtain a pseudo CT image corresponding to the MRI image, and attenuation correction is performed for a PET image of the subject according to the pseudo CT image, wherein the PET image and the MRI image are obtained through a same scan process for the subject.

Claims (102)

1. A method of correcting Positron Emission Tomography (PET) image attenuation, comprising:

segmenting an MRI image of a subject to obtain respective MRI sub-images corresponding to attenuation units of the subject;

for each MRI sub-image, obtaining pseudo CT sub-images corresponding to the MRI sub-images based on an MRI-CT atlas, wherein,

the pseudo CT sub-image is obtained by selecting a plurality of CT template sub-images present in the MRI-CT atlas that corresponds to a plurality of MRI template sub-images in the MRI-CT atlas matched to the MRI sub-image, and

the plurality of MRI template sub-images is matched to the MRI sub-image by a matching relationship comprising shape factors and intensity weight factors;

splicing the respective pseudo CT sub-images to obtain a pseudo CT image; and

performing attenuation correction for a PET image of the subject according to the pseudo CT image, wherein the PET image and the MRI image are obtained through a same scan process for the subject.

2. The method of claim 1 , wherein for each MRI sub-image obtaining the pseudo CT sub-images corresponding to the MRI sub-images based on the MRI-CT atlas comprises:

obtaining the plurality of MRI template sub-images associated with the attenuation unit corresponding to the MRI sub-image from an MRI template set in the MRI-CT atlas;

obtaining the matching relationship between the plurality of MRI template sub-images and the MRI sub-image, wherein

the matching relationship comprises respective weighting coefficients for the MRI template sub-images based on image intensity and image shape such that a weight sum of the plurality of MRI template sub-images is matched with the MRI sub-image; and

the matching relationship is calculated with formula (1):

M

patient

i

=

k

=

1

K

t

k

T

ik

(

M

template

ik

)

,

(

1

)

wherein

t k represents the intensity weight factor of the k-th MRI template sub-image,

T ik represents the shape factor of the k-th MRI template sub-image,

M patient i represents the MRI sub-image i,

M template ik template represents the k-th MRI template sub-image corresponding to the MRI sub-image i, and

K represents a number of the plurality of MRI template sub-image;

obtaining the plurality of CT template sub-images corresponding to the plurality of MRI template sub-images from a CT template set in the MRI-CT atlas; and

obtaining the pseudo CT sub-image corresponding to the MRI sub-image according to the plurality of CT template sub-images and the matching relationship.

3. The method of claim 1 , wherein splicing the respective pseudo CT sub-images comprises:

placing the respective pseudo CT sub-images into border images for the attenuation units corresponding to the respective pseudo CT sub-images.

4. The method of claim 1 , further comprising:

performing smoothing correction for respective adjacent borders of attenuation units in adjacent pseudo CT sub-images.

5. The method of claim 1 , wherein the attenuation unit is an organ tissue of the subject.

6. A PET/MRI device, comprising:

a processor, and

a non-transitory machine-readable storage medium storing machine executable instructions which are executable by the processor to:

segment an MRI image of a subject to obtain respective MRI sub-images corresponding to attenuation units of the subject;

for each MRI sub-image, obtain a pseudo CT sub-images corresponding to the MRI sub-images based on an MRI-CT atlas, wherein;

the pseudo CT sub-image is obtained by selecting a plurality of CT template sub-images present in the MRI-CT atlas that corresponds to a plurality of MRI template sub-images in the MRI-CT atlas matched to the MRI sub-image, and

the plurality of MRI template sub-images is matched to the MRI sub-image by a matching relationship comprising shape factors and intensity weight factors;

splice the respective pseudo CT sub-images to obtain a pseudo CT image; and

perform attenuation correction for a PET image of the subject according to the pseudo CT image, wherein the PET image and the MRI image are obtained through a same scan process for the subject.

7. The device of claim 6 , wherein the processor is caused by the machine-executable instructions to:

obtain, for each of the MRI sub-images, the plurality of MRI template sub-images associated with the attenuation unit corresponding to the MRI sub-image from an MRI template set in the MRI-CT atlas;

obtain the matching relationship between the plurality of MRI template sub-images and the MRI sub-image, wherein

the matching relationship comprises respective weighting coefficients for the MRI template sub-images based on image intensity and image shape in a way that a weight sum of the plurality of MRI template sub-images is matched with the MRI sub-image; and

the matching relationship is calculated with formula (1):

M

patient

i

=

k

=

1

K

t

k

T

ik

(

M

template

ik

)

,

(

1

)

wherein

t k represents the intensity weight factor of the k-th MRI template sub-image,

T ik represents the shape factor of the k-th MRI template sub-image,

M patient i represents the MRI sub-image i,

M template ik represents the k-th MRI template sub-image corresponding to the MRI sub-image i, and

K represents a number of the plurality of MRI template sub-image;

obtain the plurality of CT template sub-images corresponding to the plurality of MRI template sub-images from a CT template set in the MRI-CT atlas; and

obtain the pseudo CT sub-image corresponding to the MRI sub-image according to the plurality of CT template sub-images and the matching relationship.

8. The device of claim 6 , wherein the processor is caused by the machine-executable instructions to:

place the respective pseudo CT sub-images into border images for the attenuation units corresponding to the respective pseudo CT sub-images.

9. The device of claim 6 , wherein the processor is caused by the machine-executable instructions to:

perform smoothing correction for respective adjacent borders of attenuation units in adjacent pseudo CT sub-images.

10. The device of claim 6 , wherein the attenuation unit is an organ tissue of the subject.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 3, 2023
From: NEUSOFT MEDICAL SYSTEMS CO., LTD.
To: SHENYANG INTELLIGENT NEUCLEAR MEDICAL TECHNOLOGY CO., LTD.
Reel/Frame 063209/0509 →
CHANGE OF NAME Recorded Apr 28, 2020
From: SHENYANG NEUSOFT MEDICAL SYSTEMS CO., LTD.
To: NEUSOFT MEDICAL SYSTEMS CO., LTD.
Reel/Frame 052519/0755 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 13, 2018
From: LI, YUNDA; LIU, YUE
To: SHANGHAI NEUSOFT MEDICAL TECHNOLOGY CO., LTD.
Reel/Frame 045539/0458 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 13, 2018
From: SHANGHAI NEUSOFT MEDICAL TECHNOLOGY CO., LTD.
To: SHENYANG NEUSOFT MEDICAL SYSTEMS CO., LTD.
Reel/Frame 045588/0359 →
Priority Claims (1)
CN 2016 1 1048076 · Nov 11, 2016 · national
Continuity (1)
Related Publication 20180137656A1 · May 17, 2018