Method and apparatus for producing a spectral computed tomography image data set

Patent metadata

Field	Value
Publication number	US-11278255-B2
Application number	US-202017022289-A
Country	US
Kind code	B2
Filing date	Sep 16, 2020
Priority date	Sep 23, 2019
Publication date	Mar 22, 2022
Grant date	Mar 22, 2022

Abstract

A method is for producing a CT image data set via a detection unit with a photon-counting X-ray detector and configured to convert detected X-rays into measurement signals resolved at least into a first and a second energy range and, via an X-ray source unit, configured to emit X-rays having a first energy spectrum and having a different second energy spectrum. The method includes adapting the first and the second energy ranges, at least one limiting energy of each energy range being adapted; emitting X-rays of the first and second energy spectrum; detecting the emitted X-rays, at least one measurement signal being generated as a function of each respective energy range and the respective energy spectrum; producing the spectral CT image data set based upon the generated first and second measurement signals with the assistance of a spectral image processing technique; and outputting the spectral CT image data set.

First claim

What is claimed is:

1. A method for producing a spectral computed tomography image data set via a detection unit including at least one photon-counting X-ray detector and configured to convert detected X-rays into measurement signals, resolved at least into a first adaptable energy range and a second adaptable energy range, and configured to emit, via an X-ray source unit, X-rays having a first energy spectrum and having a second energy spectrum which differs from the first energy spectrum, the method comprising:
adapting the first adaptable energy range and the second adaptable energy range as a function of the first energy spectrum and the second energy spectrum, respectively, via an adaptation unit, wherein at least one respective limiting energy, of each of a respective one of the first adaptable energy range and the second adaptable energy range, is adapted during the adapting;
emitting X-rays having the first energy spectrum and emitting X-rays having the second energy spectrum, via the X-ray source unit;
detecting the X-rays emitted having the first energy spectrum and detecting the X-rays emitted having the second energy spectrum, via the detection unit, wherein at least one first measurement signal is generated as a function of the first adaptable energy range and the first energy spectrum and wherein at least one second measurement signal is generated as a function of the second adaptable energy range and the second energy spectrum;
producing the spectral computed tomography image data set at least based upon the first measurement signals generated and the second measurement signals generated, with assistance of a spectral image processing technique, via an image processing unit; and
outputting the spectral computed tomography image data set via an interface.

2. The method of claim 1 , wherein the adapting includes:
automatically adapting, via the adaptation unit, each at least one respective limiting energy of the first adaptable energy range and the second adaptable energy range, as a function of at least one of the spectral image processing technique, a type of medical examination and an item of patient-specific information.

3. The method of claim 2 , further comprising:
determining, via an optimization unit, an optimized energy value for the at least one respective limiting energy of the first adaptable energy range and the second adaptable energy range, at least based upon the first energy spectrum and the second energy spectrum, wherein the optimized energy value includes at least one of:
an image noise value of the computed tomography image data set,
an image contrast value of the computed tomography image data set,
a material contrast value of the computed tomography image data set,
an artifact value of the computed tomography image data set, and
a spectral overlap value between at least one of the first energy spectrum and the second adaptable energy range, and the second energy spectrum and the first adaptable energy range.

4. The method of claim 2 , wherein the determining comprises application of a machine learning method.

5. The method of claim 2 , wherein the first adaptable energy range adjoins the second adaptable energy range.

6. The method of claim 2 , wherein the first adaptable energy range and the second adaptable energy range are spaced apart from one another.

7. The method of claim 1 , further comprising:
determining, via an optimization unit, an optimized energy value for the at least one respective limiting energy of the first adaptable energy range and the second adaptable energy range, at least based upon the first energy spectrum and the second energy spectrum, wherein the optimized energy value includes at least one of:
an image noise value of the computed tomography image data set,
an image contrast value of the computed tomography image data set,
a material contrast value of the computed tomography image data set,
an artifact value of the computed tomography image data set, and
a spectral overlap value between at least one of the first energy spectrum and the second adaptable energy range, and the second energy spectrum and the first adaptable energy range.

8. The method of claim 1 , wherein the determining comprises application of a machine learning method.

9. The method of claim 1 , wherein the first adaptable energy range adjoins the second adaptable energy range.

10. The method of claim 1 , wherein the first adaptable energy range and the second adaptable energy range are spaced apart from one another.

11. The method of claim 1 , wherein a third measurement signal is generated as a function of the first energy spectrum and the second adaptable energy range or as a function of the first energy spectrum and a third adaptable energy range, and wherein a fourth measurement signal is generated as a function of the second energy spectrum and the first adaptable energy range or as a function of the second energy spectrum of a fourth adaptable energy range, and wherein at least one of the third measurement signal and the fourth measurement signal included in the producing.

12. The method of claim 11 , wherein during the producing of the spectral computed tomography image data set, the generated measurement signals are included in the image data set in a manner weighted via optimized weighting factors and wherein the first measurement signal is relatively more heavily weighted than the third measurement signal and wherein the second measurement signal relatively more heavily weighted than the fourth measurement signal.

13. The method of claim 12 , wherein during the producing of the spectral computed tomography image data set, the generated measurement signals are included in the image data set in a manner weighted via optimized weighting factors and wherein the weighting factors are optimized based upon at least one of:
an image noise value of the computed tomography image data set,
an image contrast value of the computed tomography image data set,
a material contrast value of the computed tomography image data set, and
an artifact value of the computed tomography image data set.

14. The method of claim 1 , wherein during the emitting, either X-rays having the first energy spectrum or X-rays having the second energy spectrum is selectively alternately emitted.

15. The method of claim 1 , wherein the detection unit includes a photon-counting X-ray detector with a plurality of detection elements, and wherein a first subset of the plurality of detection elements is illuminated with the first energy spectrum via the X-ray source unit and a second subset of the plurality of detection elements is illuminated with the second energy spectrum, and wherein the first measurement signal is generated via the first subset of the plurality of detection elements and the second measurement signal is generated via the second subset of the plurality of detection elements.

16. The method of claim 1 , wherein the detection unit includes a first photon-counting X-ray detector and, arranged at an angular offset, a second photon-counting X-ray detector, and wherein the X-ray source unit includes a first X-ray source arranged opposite the first photon-counting X-ray detector, to emit at the first energy spectrum and includes a second X-ray source arranged opposite the second photon-counting X-ray detector, to emit at the second energy spectrum, and wherein the first measurement signal is generated via the first X-ray detector and the second measurement signal is generated via the second X-ray detector.

17. An apparatus for producing a spectral

Assignees

• Siemens Healthcare Gmbh

Inventors

• Flohr Thomas
• Schmidt Bernhard

Classifications

• A61B6/482 Primary

  involving multiple energy imaging · CPC title

• A61B6/032 Primary

  Transmission computed tomography [CT] · CPC title

• A61B6/4021

  involving movement of the focal spot · CPC title

• G01J11/00

  Measuring the characteristics of individual optical pulses or of optical pulse trains · CPC title

• A61B6/425

  using detectors specially adapted to be used in the interior of the body · CPC title