Cortical malformation identification

Patent metadata

Field	Value
Publication number	US-11915412-B2
Application number	US-201816475480-A
Country	US
Kind code	B2
Filing date	Jan 3, 2018
Priority date	Jan 6, 2017
Publication date	Feb 27, 2024
Grant date	Feb 27, 2024

Abstract

A cortical malformation identification method includes quantitatively evaluating, using a processor of a computer that includes the processor and a memory, digital image data from a magnetic resonance imaging (MRI) scan on a cerebral cortex to produce quantified scan data. The method also includes automatically detecting a cortical malformation based on the quantified scan data. An image of the cerebral cortex may be color-coded so that the cortical malformation is shown in a different color than the remainder of the cerebral cortex in the image, based on the quantified scan data. Additionally or alternatively, a 3-dimensional representation of the cerebral cortex may be mapped to the quantified scan data to produce a mapped image of the cerebral cortex including the detected cortical malformation.

First claim

The invention claimed is:

1. A cortical malformation identification method, comprising:
performing a magnetic resonance imaging (MRI) scan on a cerebral cortex;
obtaining digital image data from the MRI scan;
generating, from the digital image data, a representation of an inner cortical surface and an outer cortical surface as a three-dimensional triangular mesh of hemispheres of the cerebral cortex, wherein an inner boundary and an outer boundary of the cerebral cortex are represented as similar triangular surfaces of the three-dimensional triangular mesh;
quantitatively evaluating the representation of the cerebral cortex to produce quantified scan data comprising measurements of signal intensity measured during the MRI scan, wherein the signal intensity is represented in one or more of pixel or voxel values in images based on the digital image data, the signal intensity of the quantified scan data further comprising an average value of signal intensity for signals respectively normal to, and pointing inward from, an inner cortical surface of the cerebral cortex and pointing outward from an outer cortical surface of the cerebral cortex;
automatically detecting a cortical malformation based on the quantified scan data;
mapping a three-dimensional representation of the cerebral cortex to the quantified scan data to produce a mapped image of the cerebral cortex;
color-coding the mapped image of the cerebral cortex so that the cortical malformation is shown in a different color than a remainder of the cerebral cortex in the mapped image; and
outputting the color-coded mapped image of the cerebral cortex.

2. A medical resonance imaging (MRI) system for cortical malformation identification, comprising:
a processor;
a memory that stores instructions, which when executed by the processor, causes the processor to:
generate, from digital image data from an MRI scan on a cerebral cortex, a representation of an inner cortical surface and an outer cortical surface as a three-dimensional triangular mesh of hemispheres of the cerebral cortex, wherein an inner boundary and an outer boundary of the cerebral cortex are represented as similar triangular surfaces of the three-dimensional triangular mesh;
quantitatively evaluate the representation of the cerebral cortex to produce quantified scan data comprising measurements of signal intensity measured during the MRI scan, wherein the signal intensity is represented in one or more of pixel or voxel values in images based on the digital image data, the signal intensity of the quantified scan data further comprising an average value of signal intensity for signals respectively normal to, and pointing inward from, an inner cortical surface of the cerebral cortex and pointing outward from an outer cortical surface of the cerebral cortex;
automatically detect a cortical malformation based on the quantified scan data; and
color-code a mapped image of the cerebral cortex so that the cortical malformation is shown in a different color than a remainder of the cerebral cortex in the mapped image, based on the quantified scan data.

3. The MRI system for cortical malformation identification of claim 2 , wherein the instructions further cause the processor to:
measure the cortical malformation based on the quantified scan data and color-coded image to produce measurements of the cortical malformation.

4. The MRI system for cortical malformation identification of claim 3 , wherein the instructions further cause the processor to:
automatically diagnose one of a plurality of congenital conditions based on the quantified scan data and the measurements to produce a diagnosed congenital condition.

5. The MRI system for cortical malformation identification of claim 4 , wherein the diagnosed congenital condition is a cortical malformation comprising one of Taylor's focal cortical dysplasia, architectural dysplasia, or cytoarchitectural dysplasia.

6. The MRI system for cortical malformation identification of claim 2 , wherein the color-coded mapped image comprises color-coding different sections of the image of the cerebral cortex based on the quantified scan data;
the different color-coded sections of the cerebral cortex are registered with an anatomy of the cerebral cortex in an operating room; and
the image is color-coded to visually delineate a portion of the cortical malformation to be removed by surgery.

7. The MRI system for cortical malformation identification of claim 2 , wherein the color-coded image of the cerebral cortex is displayed via an electronic display in an operating room in which the cortical malformation is removed by surgery.

8. The MRI system for cortical malformation identification of claim 2 , wherein the instructions further cause the processor to:
derive an index from the quantitative evaluation of the cortical malformation to differentiate a disease type of the cortical malformation.

9. The MRI system for cortical malformation identification of claim 2 , wherein the instructions further cause the processor to:
automatically perform deformable segmentation to segment the cerebral cortex in a three-dimensional representation of the cerebral cortex in the MRI scan without user interaction.

10. The MRI system for cortical malformation identification of claim 9 , wherein the instructions further cause the processor to:
classify tissue of the cerebral cortex based on the quantified scan data obtained using the deformable segmentation in the MM scan.

11. The MRI system for cortical malformation identification of claim 2 , wherein the quantified scan data comprises measurements of signal intensity measured during the MRI scan, wherein the signal intensity is represented as pixel values in images based on the digital image data.

12. The MRI system for cortical malformation identification of claim 2 , wherein the instructions further cause the processor to:
map the quantified scan data to triangular meshes representing an inner cortical surface and an outer cortical surface of the cerebral cortex.

13. The MRI system for cortical malformation identification of claim 2 , wherein the instructions further cause the processor to:
compare three dimensional surfaces from different cerebral cortexes in the same parametric space defined by triangular meshes of inner cortical surfaces and outer cortical surfaces of the different cerebral cortexes to correlate quantified scan data of the different cerebral cortexes.

14. The MRI system for cortical malformation identification of claim 2 , wherein the cortical malformation is detected by identifying a deviation in quantified scan data between left and right sides of the cerebral cortex.

15. A medical resonance imaging (MRI) system for cortical malformation identification, comprising:
a processor;
a memory that stores instructions, which when executed by the processor, causes the processor to:
quantitatively evaluate digital image data from a magnetic resonance imaging (MRI) scan on a cerebral cortex to produce quantified scan data comprising measurements of signal intensity measured during the MRI scan, wherein the signal intensity is represented in one or more of pixel or voxel values in images based on the digital image data, wherein the digital image data comprises a representation of an inner cortical surface and an outer cortical surface as a three-dimensional triangular mesh of hemispheres of the cerebral cortex and an inner boundary and an outer boundary of the cerebral cortex are represented as similar triangular surfaces of the three-dimensional triangular mesh, the signal intensity of the quantified scan data fu

Assignees

• Koninklijke Philips Nv

Inventors

• Zagorchev Lyubomir Georgiev
• Wenzel Fabien
• Bergtholdt Martin
• Hu Houchun
• Miller Jeffrey
• Meyer Carsten

Classifications

• G06T7/0012 Primary

  Biomedical image inspection · CPC title

• G06T19/20 Primary

  Editing of three-dimensional [3D] images, e.g. changing shapes or colours, aligning objects or positioning parts · CPC title

• G16H30/40

  for processing medical images, e.g. editing · CPC title

• G06T2207/10088

  Magnetic resonance imaging [MRI] · CPC title

• G06T2207/30016

  Brain · CPC title