Fusion of multiple imaging planes for isotropic imaging in MRI and quantitative image analysis using isotropic or near-isotropic imaging

• US 8,094,900 B2
• Filed: 11/09/2009
• Issued: 01/10/2012
• Est. Priority Date: 12/04/2002
• Status: Expired due to Term

• Current Assignee: Conformis Incorporated
• Original Assignee: Conformis Incorporated
• Inventors: Steines, Daniel, Timsari, Bijan, Tsougarakis, Konstantinos
• Primary Examiner(s): Tabatabai, Abolfazl
• Application Number:
  US12/614,946
• Publication Number:
  US 20100054572A1
• Time in Patent Office: 792 Days
• Field of Search: 382/128, 382/129, 382/130, 382/131, 382/132, 382/133, 382/134, 382/190, 600/9, 600/10, 600/407, 600/410, 600/419, 600/420, 600/425, 600/524, 378/4, 378 21- 23, 378/62, 424/9.3, 324/307, 324/309
• US Class Current: 382/128
• CPC Class Codes: B23P 19/00 Machines for simply fitting together or separating metal parts or objects, or metal and non-metal parts, whether or not involving some deformation connecting metal parts or objects by metal-working procedures B21J, B23K; Tools or devices therefor so far as not provided for in other classes hand tools in general B25
• CPC Class Codes: G01R 33/56 Image enhancement or correction, e.g. subtraction or averaging techniques , e.g. improvement of signal-to-noise ratio and resolution
• CPC Class Codes: G01R 33/5608 Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels image data processing or generation, in general G06T
• CPC Class Codes: Y10T 29/49 Method of mechanical manufacture

Abstract

In accordance with the present invention there is provided methods for generating an isotropic or near-isotropic three-dimensional images from two-dimensional images. In accordance with the present invention the method includes, obtaining a first image of a body part in a first plane, wherein the first image generates a first image data volume; obtaining a second image of the body part in a second plane, wherein the second image generates a second image data volume; and combining the first and second image data volumes to form a resultant image data volume, wherein the resultant image data volume is isotropic or near-isotropic.

Claims

1. A method of improving the resolution of medical images using a computer processing system comprising:

obtaining a first image set of a body part relative to a first plane, the first image set comprising a first image data volume, the first image data volume having at least a first planar resolution parallel to the first plane, and a first perpendicular resolution along an axis perpendicular to the first plane, the first perpendicular resolution being less than the first planar resolution;

obtaining a second image set of the body part relative to a second plane that is different from the first plane, the second image set comprising a second image data volume;

using the computer processing system to convert the second image data volume to a common coordinate system with the first image data volume; and

combining the first and second image data volumes to form a resultant image data volume having a higher image resolution than the image resolution of the first image data volume.

2. The method according to claim 1, wherein the combining step comprises:

using the computer processing system to obtain from said first and second image data volume first and second gray values at a three-dimensional position;

interpolating a resultant gray value from said first and second gray values; and

assigning said resultant value to a voxel at said three-dimensional position of said resultant data volume.

3. The method according to claim 1, wherein said second plane is at an angle between about 0 and about 180 degrees from the first plane.

4. The method of claim 3, wherein the second plane is at an angle between about 0 and about 90 degrees from the first plane.

5. The method of claim 1, wherein the step of using the computer processing system to convert the second image data volume to a common coordinate system with the first image data volume comprises using the computer system to convert both the first and second image data volumes to a common coordinate system.

6. The method of claim 1, wherein the first image set is taken at a first time and the second image set is taken at a second time.

7. The method of claim 1, further including:

selecting a therapy in response to the resultant image data volume.

8. The method of claim 1, further including:

selecting a treatment in response to the resultant image data volume.

9. The method of claim 1, further including:

obtaining at least one additional image set of a body part in a plane different than the first and second planes, wherein the additional image set generates an additional image data volume, wherein the additional data volume is converted to a common coordinate system with the first image data volume and combined with the first and second image data volumes to form a resultant data volume.

10. The method of claim 1, further including:

extracting a boundary image data volume from the resulting image data volume.

11. A method for using a computer processing system to produce an improved resolution three-dimensional image data of an object comprising:

obtaining a first image data volume from a first image set of the object taken relatively parallel to a first plane;

obtaining a second image data volume from a second image set of the object taken relatively parallel to a second plane, the second plane being non-parallel to the first plane;

using the computer processing system to extract boundary image data from each of the first and second image data volumes;

converting the extracted boundary image data from the second image data volume to a common coordinate system with the extracted boundary image data from the first image data volume and combining the first and second extracted boundary image data to form a resultant image data volume.

12. The method of claim 11, further including:

obtaining at least one additional image data volume from at least one additional image set of the object taken relatively parallel to a plane that is non-parallel to both of the first plane and the second plane;

extracting an additional boundary image data from the additional image data volume;

converting the additional extracted boundary image data from the additional image data volume to a common coordinate system with the extracted boundary image data from the first image data volume; and

combining the additional boundary image data volume with the resultant image data volume.

13. The method of claim 11, wherein the resultant image data volume is near-isotropic in three dimensions.

14. The method of claim 11, wherein the resultant image data volume is isotropic in three dimensions.

15. The method of claim 11, wherein the step of using the computer processing system to convert the extracted boundary image data from the second image data volume to a common coordinate system with the extracted boundary image data from the first image data volume comprises using the computer system to convert both the first and second extracted boundary image data to a common coordinate system.

16. The method of claim 11, wherein the first plane and second plane are separated by an angle between about 0 and about 180 degrees.

17. The method of claim 16, wherein the angle is between about 0 and about 90 degrees.