IP Library › Granted Patent US 11,172,894
Granted Patent B2
US 11,172,894 · App. 16/728,146 · Granted Nov 16, 2021

Medical processing apparatus, X-ray diagnosis system, and medical processing method

Inventor: Hiroki Taguchi (Otawara, JP)
Assignee: CANON MEDICAL SYSTEMS CORPORATION
A61B6/032A61B6/4208A61B6/4452A61B6/5205
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Quick Facts
Patent No.
US 11,172,894
App. No.
16/728,146
Granted
Nov 16, 2021
Kind
B2
Abstract

A medical processing apparatus includes processing circuitry. Based on a first number of X-ray datasets that correspond to the first number of energies and that are acquired by scanning a subject with X-rays, the processing circuitry generates a second number of virtual monochromatic X-ray datasets, which is a number larger than the first number. Based on the second number of virtual monochromatic X-ray datasets, the processing circuitry estimates quantities of the second number of reference materials mixed or a mixing ratio between the second number of reference materials for each of multiple positions in the subject.

Claims (20)

1. A medical processing apparatus comprising:

processing circuitry configured to

estimate, based on a first number of X-ray datasets that correspond to a first number of energies and that are acquired by scanning a subject with X-rays, quantities of the first number of reference materials mixed or a mixing ratio between the first number of reference materials for each of multiple positions in the subject,

generate, based on the quantities of the first number of reference materials mixed or the mixing ratio between the first number of reference materials, a second number of virtual monochromatic X-ray datasets, the second number being larger than the first number, and

estimate, based on the second number of virtual monochromatic X-ray datasets, quantities of the second number of reference materials mixed or a mixing ratio between the second number of reference materials for each of the multiple positions in the subject.

2. The medical processing apparatus according to claim 1 , wherein each of the X-ray datasets and the virtual monochromatic X-ray datasets is an image dataset.

3. The medical processing apparatus according to claim 1 , wherein each of the X-ray datasets and the virtual monochromatic X-ray datasets is a projection dataset.

4. The medical processing apparatus according to claim 1 , wherein the processing circuitry is configured to estimate the quantities of the second number of reference materials mixed or the mixing ratio between the second number of reference materials based on values each representing absorption of X-rays at each position in each of the second number of virtual monochromatic X-ray datasets and values each representing absorption of X-rays by each of the second number of reference materials.

5. The medical processing apparatus according to claim 4 , wherein the processing circuitry is configured to estimate the quantities of the second number of reference materials mixed or the mixing ratio between the second number of reference materials according to a simultaneous equation representing the values each representing absorption of X-rays at each position in each of the second number of virtual monochromatic X-ray datasets by the values each representing absorption of X-rays by each of the second number of reference materials.

6. The medical processing apparatus according to claim 1 , wherein the X-ray datasets are obtained by detecting the X-rays that have transmitted through the subject using an energy integration X-ray detector.

7. The medical processing apparatus according to claim 1 , wherein the X-ray datasets are obtained by detecting the X-rays that have transmitted through the subject using a photon counting X-ray detector.

8. The medical processing apparatus according to claim 1 , wherein

the first number is 2, and

the second number is 3.

9. The medical processing apparatus according to claim 1 , wherein the processing circuitry is configured to generate output data by inputting the quantities of the second number of reference materials mixed or the mixing ratio between the second number of reference materials that is estimated based on the first number of X-ray datasets corresponding to the first number of energies to a trained model that generates the output data that apparently represent the quantities of the second number of reference materials mixed or the mixing ratio between the second number of reference materials that is obtained from the second number of X-ray datasets corresponding to the second number of energies that are discriminated using a photon counting X-ray detector based on the quantities of the second number of reference materials mixed or the mixing ratio between the second number of reference materials that is estimated based on the first number of X-ray data sets corresponding to the first number of energies.

10. An X-ray system comprising the medical processing apparatus according to claim 1 .

11. A medical processing method comprising:

estimating, based on a first number of X-ray datasets that correspond to a first number of energies and that are acquired by scanning a subject with X-rays, quantities of the first number of reference materials mixed or a mixing ratio between the first number of reference materials for each of multiple positions in the subject,

generating, based on the quantities of the first number of reference materials mixed or the mixing ratio between the first number of reference materials, a second number of virtual monochromatic X-ray datasets, the second number being larger than the first number, and

estimating, based on the second number of virtual monochromatic X-ray datasets, quantities of the second number of reference materials mixed or a mixing ratio between the second number of reference materials for each of the multiple positions in the subject.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 24, 2020
From: TAGUCHI, HIROKI
To: CANON MEDICAL SYSTEMS CORPORATION
Reel/Frame 052216/0756 →
Priority Claims (1)
JP JP2018-244900 · Dec 27, 2018 · national
Continuity (1)
Related Publication 20200205751A1 · Jul 2, 2020
Cited By (2)
US 12,392,703 US 12,657,798