Magnetic resonance imaging (MRI) based quantitative kidney perfusion analysis

Patent metadata

Field	Value
Publication number	US-10147314-B2
Application number	US-201314084678-A
Country	US
Kind code	B2
Filing date	Nov 20, 2013
Priority date	Mar 31, 2013
Publication date	Dec 4, 2018
Grant date	Dec 4, 2018

Abstract

Example apparatus and methods provide improved spatial and temporal resolution over conventional magnetic resonance renography (MRR). Example apparatus and methods reconstruct under-sampled three-dimensional (3D) data associated with nuclear magnetic resonance (NMR) signals acquired from a kidney. The data is reconstructed using a 3D through-time non-Cartesian generalized auto-calibrating partially parallel acquisitions (GRAPPA) approach. Example apparatus and methods produce a quantized value for a contrast agent concentration in the kidney from a signal intensity in the data based, at least in part, on a two compartment model of the kidney. The two compartment model includes a plasma compartment and a tubular compartment. The quantized value describes a perfusion parameter for the kidney or a filtration parameter for the kidney. Greater precision is achieved for estimates of the perfusion parameter or filtration parameter as a result of the quantization performed on data acquired with greater spatial resolution and temporal resolution.

First claim

What is claimed is:

1. A non-transitory computer-readable storage medium storing computer executable instructions that when executed by a computer control the computer to perform a method, comprising:
controlling a magnetic resonance imaging (MRI) apparatus to acquire a series of three-dimensional (3D) data sets with a temporal resolution of better than 3 seconds per frame or with a spatial resolution of better than 2.85 mm 3 , where a member of the series of 3D data sets is associated with a portion of a kidney, and where the series of 3D data sets are acquired during a free-breathing dynamic contrast enhanced (DCE) MRI procedure that includes presenting a contrast agent to the kidney;
controlling the MRI apparatus to reconstruct the series of 3D data sets into a corresponding series of 3D images using a 3D through-time non-Cartesian generalized auto-calibrating partially parallel acquisitions (GRAPPA) approach;
registering members of the series of 3D images to account for motion during the free-breathing DCE MRI procedure;
producing a quantified value for a renal perfusion parameter for the kidney as a function of a signal intensity associated with the concentration of contrast agent in the kidney as displayed in one or more members of the series of 3D images and as a function of a two compartment model of a kidney, where the two compartment model includes a plasma compartment and a tubular compartment, where producing the quantified value for the renal perfusion parameter includes converting a signal intensity value in a member of the series of 3D data sets to a value describing the concentration of the contrast agent; and
producing and displaying a viewable parameter map of the renal perfusion parameter, where producing the viewable parameter map comprises performing pixel-wise parameter mapping to produce a pixel-wise parameter map, where the viewable parameter map displays information concerning the renal cortex.

2. The non-transitory computer-readable storage medium of claim 1 , where the renal perfusion parameter is perfusion.

3. The non-transitory computer-readable storage medium of claim 1 , where the renal perfusion parameter is mean transit time in the plasma compartment or mean transit time in the tubular compartment.

4. The non-transitory computer-readable storage medium of claim 1 , where the renal perfusion parameter tubular flow.

5. The non-transitory computer-readable storage medium of claim 1 , where the contrast agent is Gd-DTPA.

6. The non-transitory computer-readable storage medium of claim 1 , where the DCE MRI procedure produces a corticomedullary enhancement in the kidney, an intra-renal enhancement in the kidney, a renal cortex enhancement in the kidney, or an enhancement in the collecting system of the kidney.

7. The non-transitory computer-readable storage medium of claim 1 , the method comprising controlling the MRI apparatus to acquire the series of 3D data sets using a 3D stack-of-stars trajectory.

8. The non-transitory computer-readable storage medium of claim 1 , the method comprising controlling the MRI apparatus to acquire the series of 3D data sets using radial under-sampling at a factor of at least eight.

9. The non-transitory computer-readable storage medium of claim 1 , the method comprising controlling the MRI apparatus to acquire the series of 3D data sets using a bandwidth range of 580-820 Hz/pixel.

10. The non-transitory computer-readable storage medium of claim 1 , the method comprising controlling the MRI apparatus to acquire the series of 3D data sets using a range of 20-24 projections per partition.

11. The non-transitory computer-readable storage medium of claim 1 , the comprising controlling the MRI apparatus to acquire the series of 3D data sets using a partial Fourier transformation in the partition direction.

12. The non-transitory computer-readable storage medium of claim 1 , where converting the signal intensity value to the value describing the concentration of the contrast agent is based, at least in part, on a reference signal intensity value associated with a reference sample of the contrast agent, where a reference signal is acquired from the reference sample during the acquisition of at least one of the 3D data sets.

13. The non-transitory computer-readable storage medium of claim 1 , the method comprising controlling the MRI apparatus to produce a concentration time course from a plurality of values describing the concentration of the contrast agent.

14. The non-transitory computer-readable storage medium of claim 13 , where the concentration time course is associated with the renal parenchyma.

15. The non-transitory computer-readable storage medium of claim 1 , the method comprising reconstructing the series of 3D data sets without performing view sharing.

16. The non-transitory computer-readable storage medium of claim 1 , the method comprising segmenting the pixel-wise parameter map by threshholding signal intensity values in a frame during corticomedullary enhancement.

17. The non-transitory computer-readable storage medium of claim 1 , the method comprising producing the quantified value for the renal perfusion parameter with at least 10% precision.

18. The non-transitory computer-readable storage medium of claim 1 , the method comprising producing the quantified value for the renal perfusion parameter with at least 25% precision.

19. The non-transitory computer-readable storage medium of claim 1 , the method comprising producing the quantified value for the renal perfusion parameter with at least 50% precision.

20. The non-transitory computer-readable storage medium of claim 1 , the method comprising producing the quantified value for the renal perfusion parameter with at least 75% precision.

21. An apparatus, comprising:
a memory having stored thereon under-sampled three-dimensional (3D) data associated with nuclear magnetic resonance (NMR) signals acquired from a kidney experiencing NMR or from blood in the kidney experiencing NMR;
a processor configured to access the memory and to:
reconstruct the data into images using a 3D through-time non-Cartesian generalized auto-calibrating partially parallel acquisitions (GRAPPA) approach, and
produce a quantized value for a contrast agent concentration in the kidney or blood in the kidney from a signal intensity in the under-sampled 3D data associated with the images based, at least in part, on a two compartment model of the kidney, where the two compartment model includes a plasma compartment and a tubular compartment, where the quantized value describes a perfusion parameter for the kidney or a filtration parameter for the kidney, and based, at least in part, on a reference signal intensity value associated with a reference sample of a contrast agent, where the reference signal intensity value is acquired at least partially contemporaneously with the under-sampled 3D data.

22. The apparatus of claim 21 , where the quantized value describes perfusion in the kidney, mean transit time in the plasma compartment, tubular flow in the kidney, or mean transit time in the tubular compartment.

23. The apparatus of claim 21 , where the under-sampled 3D data is associated with a free-breathing dynamic contrast enhanced (DCE) procedure that includes presenting the contrast agent to the kidney, where the contrast agent is Gd-DTPA.

24. The apparatus of claim 23 , where the DCE procedure produces a corticomedullary enhancement in the kidney, an

Assignees

• Univ Case Western Reserve

Inventors

• Gulani Vikas
• Wright Katherine
• Seiberlich Nicole
• Griswold Mark

Classifications

• G08C23/06 Primary

  through light guides, e.g. optical fibres · CPC title

• A61B5/4244

  liver · CPC title

• G01R33/3614

  RF power amplifiers · CPC title

• A61B5/055

  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging · CPC title

• G01R33/58

  Calibration of imaging systems, e.g. using test probes {, Phantoms; Calibration objects or fiducial markers such as active or passive RF coils surrounding an MR active material} · CPC title