Granted Patent B2

US 12,499,516 · App. 17/928,959 · Granted Dec 16, 2025

Inventors: Johannes Martinus Peeters (Nuenen, NL); Shuo Zhang (Goettingen, DE); Guillaume Rudolf Petrus Thelissen (Best, NL)

Assignee: Koninklijke Philips N.V.

G06T5/70G01R33/4818G06T5/50G06T7/11G06T2207/10016G06T2207/10096G06T2207/20021G06T2207/30048

Abstract

Claims (39)

1 . A medical system comprising:

a memory configured to store machine executable instructions and an image segmentation algorithm, wherein the image segmentation algorithm is configured to output one or more predetermined anatomical regions within initial magnetic resonance imaging data descriptive of a predetermined field of view of a subject;

a computational system, wherein execution of the machine executable instructions causes the computational system to:

receive the initial magnetic resonance imaging data;

receive an image segmentation comprising the one or more anatomical regions within the magnetic resonance imaging data in response to inputting the initial magnetic resonance imaging data into the image segmentation algorithm;

select at least one of the one or more anatomical regions as a selected image portion using a predetermined criterion; and

reduce image intensity within the selected image portion to provide intensity corrected magnetic resonance imaging data, such that anatomical structures within the selected image portion are still visible, wherein the image intensity within the selected image portion is reduced using a spatially varying weighting factor, wherein the spatially varying weighing factor is smooth.

2 . The medical system of claim 1 , wherein the spatially varying weighting factor comprises a smooth transition at a boundary of the selected image portion.

3 . The medical system of claim 1 , wherein execution of the machine executable instructions further causes the computational system to perform at least one of the following: perform a uniformity correction on the initial magnetic resonance imaging data before reducing the image intensity within at least the selected image portion or perform a uniformity correction on the intensity corrected magnetic resonance imaging data.

4 . The medical system of claim 1 , wherein the intensity corrected magnetic resonance imaging data is provided during a weighted uniformity correction of the initial magnetic resonance imaging data, wherein the image intensity within the selected image portion is reduced by down weighting the selected image portion for the weighted uniformity correction with the spatially varying weighting factor.

5 . The medical system of claim 1 , wherein the initial magnetic resonance imaging data is dynamic magnetic resonance imaging data comprising a time series of magnetic resonance images, wherein the intensity corrected magnetic resonance imaging data is provided by reducing image intensity within the selected image portion for each of the time series of magnetic resonance images, wherein execution of the machine executable instructions further causes the computational system to calculate a dynamic magnetic resonance image using the intensity corrected magnetic resonance imaging data.

6 . The medical system of claim 5 , wherein the dynamic weighted magnetic resonance imaging data is dynamic contrast enhanced magnetic resonance imaging data.

7 . The medical system of claim 6 , wherein the selected image portion comprises a heart anatomical region.

8 . The medical system of claim 1 , wherein the image intensity within at least the selected image portion is reduced using a factor determined by any one of the following:

by applying a predetermined factor;

using an optimization to limit a reduction of contrast determined by a noise level and/or coil sensitivity within the selected image portion.

9 . The medical system of claim 8 , wherein the predetermined criterion used to select the selected image portion is at least one of the following:

a selection of anatomical regions with an average image intensity above a predetermined intensity threshold;

maintaining a noise level below a predetermined noise threshold within the selected image portion; or

a predetermined selection of the one or more anatomical regions.

10 . The medical system of claim 1 , wherein the medical system further comprises a magnetic resonance imaging system configured to acquire k-space data from an imaging zone, wherein the memory further comprises pulse sequence commands configured to control the magnetic resonance imaging system to acquire the k-space data from the predetermined field of view within the imaging zone, wherein execution of the machine executable instructions further causes the computational system to:

control the magnetic resonance imaging system with the pulse sequence commands to acquire the k-space data; and

reconstruct the initial magnetic resonance imaging data from the k-space data.

11 . A method of medical imaging, wherein the method comprises:

receiving initial magnetic resonance imaging data;

receiving an image segmentation comprising the one or more anatomical regions within the magnetic resonance imaging data in response to inputting the initial magnetic resonance imaging data into an image segmentation algorithm wherein the image segmentation algorithm is configured to output the one or more predetermined anatomical regions within initial magnetic resonance imaging data descriptive of a predetermined field of view of a subject;

selecting at least one of the one or more anatomical regions as a selected image portion using a predetermined criterion; and

reducing image intensity within the selected image portion to provide intensity corrected magnetic resonance imaging data, such that anatomical structures within the selected image portion are still visible, wherein the image intensity within the selected image portion is reduced using a spatially varying weighting factor wherein the spatially varying weighing factor is smooth, and wherein the spatially varying weighting factor comprises a smooth transition at a boundary of the selected image portion.

12 . The method of claim 11 further comprising: performing at least one of a uniformity correction on the initial magnetic resonance imaging data before reducing the image intensity within at least the selected image portion or a uniformity correction on the intensity corrected magnetic resonance imaging data.

13 . The method of claim 11 , wherein the intensity corrected magnetic resonance imaging data is provided during a weighted uniformity correction of the initial magnetic resonance imaging data, wherein the image intensity within the selected image portion is reduced by down weighting the selected image portion for the weighted uniformity correction with the spatially varying weighting factor.

14 . The method of claim 11 , wherein the initial magnetic resonance imaging data is dynamic magnetic resonance imaging data comprising a time series of magnetic resonance images, wherein the intensity corrected magnetic resonance imaging data is provided by reducing image intensity within the selected image portion for each of the time series of magnetic resonance images, wherein execution of the machine executable instructions further causes the computational system to calculate a dynamic magnetic resonance image using the intensity corrected magnetic resonance imaging data.

15 . A computer program comprising machine executable instructions stored on a non-transitory computer readable medium for execution by a computational system, wherein execution of the machine executable instructions causes the computational system to:

receive initial magnetic resonance imaging data;

receive an image segmentation comprising the one or more anatomical regions within the magnetic resonance imaging data in response to inputting the initial magnetic resonance imaging data into an image segmentation algorithm, wherein the image segmentation algorithm is configured to output one or more predetermined anatomical regions for initial magnetic resonance imaging data descriptive of a predetermined field of view of a subject;

select at least one of the one or more anatomical regions as a selected image portion using a predetermined criterion; and

reduce image intensity within the selected image portion to provide intensity corrected magnetic resonance imaging data, such that anatomical structures within the selected image portion are still visible, wherein the image intensity within the selected image portion is reduced using a spatially varying weighting factor wherein the spatially varying weighing factor is smooth, and wherein the spatially varying weighting factor comprises a smooth transition at a boundary of the selected image portion.

16 . The computer program of claim 15 further comprising: performing at least one of a uniformity correction on the initial magnetic resonance imaging data before reducing the image intensity within at least the selected image portion or a uniformity correction on the intensity corrected magnetic resonance imaging data.

17 . The computer program of claim 15 , wherein the intensity corrected magnetic resonance imaging data is provided during a weighted uniformity correction of the initial magnetic resonance imaging data, wherein the image intensity within the selected image portion is reduced by down weighting the selected image portion for the weighted uniformity correction with the spatially varying weighting factor.

18 . The computer program of claim 15 , wherein the initial magnetic resonance imaging data is dynamic magnetic resonance imaging data comprising a time series of magnetic resonance images, wherein the intensity corrected magnetic resonance imaging data is provided by reducing image intensity within the selected image portion for each of the time series of magnetic resonance images, wherein execution of the machine executable instructions further causes the computational system to calculate a dynamic magnetic resonance image using the intensity corrected magnetic resonance imaging data.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (25)