Learning method, image processing method, learning apparatus, image processing apparatus, learning program, and image processing program
US-2024122556-A1 · Apr 18, 2024 · US
US2020205751A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020205751-A1 |
| Application number | US-201916728146-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 27, 2019 |
| Priority date | Dec 27, 2018 |
| Publication date | Jul 2, 2020 |
| Grant date | — |
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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.
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What is claimed is: 1 . A medical processing apparatus comprising: processing circuitry configured to generate, 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, 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 multiple positions in the subject. 2 . The medical processing apparatus according to claim 1 , wherein the processing circuitry is configured to generate, based on the first number of X-ray datasets, the second number of virtual monochromatic X-ray datasets by estimating quantities of the first number of reference materials mixed or a mixing ratio between the first number of reference materials for each of the multiple positions in the subject. 3 . 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. 4 . 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. 5 . 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 positions 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 substances. 6 . The medical processing apparatus according to claim 5 , 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 positions 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 substances and the mixed quantities or the densities. 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 an energy integration X-ray detector. 8 . 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. 9 . The medical processing apparatus according to claim 1 , wherein the first number is 2, and the second number is 3. 10 . 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. 11 . An X-ray system comprising the medical processing apparatus according to claim 1 . 12 . A medical processing method comprising: generating, 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, 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 multiple positions in the subject.
involving multiple energy imaging · CPC title
involving processing of raw data to produce diagnostic data · CPC title
the source unit and the detector unit being able to move relative to each other · CPC title
characterised by using a particular type of detector · CPC title
Transmission computed tomography [CT] · CPC title
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