IP Library › Granted Patent US 11,815,581
Granted Patent B2
US 11,815,581 · App. 17/734,351 · Granted Nov 14, 2023

Medical information processing apparatus, magnetic resonance imaging apparatus, and medical information processing method

Inventors: Kensuke Shinoda (Otawara, JP); Kazuto Nakabayashi (Nasushiobara, JP); Hitoshi Kanazawa (Utsunomiya, JP); Kazuya Okamoto (Saitama, JP); Hiroshi Takai (Nasushiobara, JP); Nobuyuki Konuma (Utsunomiya, JP); Yuichi Yamashita (Ota-ku, JP)
Assignee: CANON MEDICAL SYSTEMS CORPORATION
G01R33/5608A61B5/055A61B5/7203G06T5/002G06T5/50G06T7/0012G06T2207/10088G06T2207/30004
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Quick Facts
Patent No.
US 11,815,581
App. No.
17/734,351
Granted
Nov 14, 2023
Kind
B2
Abstract

A medical image processing apparatus of embodiments includes processing circuitry. The processing circuitry is configured to acquire a data and a g-factor map. The data is generated as a result of a reception by an RF coil. The processing circuitry is configured to determine strength of denoise performed on the data on the basis of the g-factor map and perform the denoise on the data.

Claims (37)

1. A medical information processing apparatus, comprising:

processing circuitry configured to

acquire first data generated as a result of a reception by a radio frequency coil and acquire information about reception characteristics of the radio frequency coil that contribute to a signal-to-noise ratio of the first data;

perform a denoise process on the first data to obtain second data from the first data, the second data being the denoised first data;

determine multiple mixing rates based on the reception characteristics of the radio frequency coil, each mixing rate being a rate of a mixture of a first medical image according to the first data and a second medical image according to the second data; and

generate a mixed image by mixing the first medical image and the second medical image according to the determined multiple mixing rates,

wherein the processing circuitry is further configured to generate the mixed image by mixing the first medical image and the second medical image according to the mixing rates based on the information about reception characteristics of the radio frequency coil.

2. The medical information processing apparatus according to claim 1 , wherein the acquired information about the reception characteristics of the radio frequency coil includes a g-factor map.

3. The medical information processing apparatus according to claim 1 , wherein the processing circuitry is further configured to

generate a third map with which the multiple mixing rates that differ according to positions are associated, based on the information about reception characteristics of the radio frequency coil;

multiply the respective pixel values of the first medical image and the second medical image by the mixing rates based on the generated third map; and

generate the mixed image by summing the medical images having the pixel values multiplied by the mixing rates.

4. The medical information processing apparatus according to claim 1 , wherein the processing circuitry is further configured to

acquire a g-factor map as the acquired information;

multiply the respective pixel values of the first medical image and the second medical image by the mixing rates based on multiple g-factors included in the g-factor map; and

generate the mixed image by summing the medical images having the pixel values multiplied by the mixing rates.

5. The medical information processing apparatus according to claim 4 , wherein the processing circuitry is further configured to

generate a third map with which the mixing rates that differ according to positions are associated based on the g-factor map; and

multiply the respective pixel values of the first medical image and the second medical image by the mixing rates based on the third map.

6. The medical information processing apparatus according to claim 1 , wherein the information about the reception characteristics of the radio frequency coil includes information of a reception sensitivity.

7. The medical information processing apparatus according to claim 1 , wherein the processing circuitry is further configured to:

acquire a reception sensitivity map as the acquired information;

multiply the respective pixel values of the first medical image and the second medical image by the mixing rates based on multiple reception sensitivities included in the reception sensitivity map; and

generate the mixed image by summing the medical images having the pixel values multiplied by the mixing rates.

8. The medical information processing apparatus according to claim 7 , wherein the processing circuitry is further configured to:

generate a third map with which the mixing rates that differ according to positions are associated based on the reception sensitivity map; and

multiply the respective pixel values of the first medical image and the second medical image by the mixing rates based on the third map.

9. The medical information processing apparatus according to claim 1 , wherein the processing circuitry is further configured to perform the denoise process on the first data to obtain second data from the first data by a trained denoise model, the second data being the denoised first data.

10. The medical information processing apparatus according to claim 9 , wherein the trained denoise model includes one or more deep neural networks.

11. A medical information processing apparatus, comprising:

processing circuitry configured to

acquire first data generated as a result of a reception by a radio frequency coil and acquire information about reception characteristics of the radio frequency coil that contribute to a signal-to-noise ratio of the first data;

perform a denoise process on the first data to obtain second data from the first data, the second data being the denoised first data;

select a mixing rate from multiple mixing rates, each mixing rates being a rate of a mixture of a first medical image according to the first data and a second medical image according to the second data; and

generate the mixed image by mixing the first medical image and the second medical image according to the selected mixing rate.

12. The medical information processing apparatus according to claim 11 , wherein the processing circuitry is further configured to perform the denoise process on the first data to obtain second data from the first data by a trained denoise model, the second data being the denoised first data.

13. The medical information processing apparatus according to claim 12 , wherein the trained denoise model includes one or more deep neural networks.

Priority Claims (2)
JP 2019-014140 · Jan 30, 2019 · national
JP 2020-009470 · Jan 23, 2020 · national
Continuity (2)
Continuation 16774116 · Jan 28, 2020
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