# US 2024/0201294 A1 · Information processing apparatus, magnetic resonance imaging apparatus, information processing method, and storage medium > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2024/0201294 A1 - Document ID: US20240201294A1 - Status: Published application - Kind: A1 - Application number: 18/531,878 - Filed: 2023-12-07 - Published: 2024-06-20 - Earliest claimed: 2022-12-15 - Assignees: Canon Kabushiki Kaisha; Canon Medical Systems Corporation - Applicants: Canon Kabushiki Kaisha; Canon Medical Systems Corporation - Inventors: Mitsuaki AMEMIYA; Hiromi KINEBUCHI; Naoya IIZUKA - Web page: https://patentgrep.com/patent/US20240201294A1 ## CPC - G01R 33/283: {Intercom or optical viewing arrangements, structurally associated with NMR apparatus} - G01R 33/3854: {means for active and/or passive vibration damping or acoustical noise suppression in gradient magnet coil systems} - G01R 33/546: {Interface between the MR system and the user, e.g. for controlling the operation of the MR system or for the design of pulse sequences} - G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12) ## Abstract An information processing apparatus includes: a selection unit configured to select a learning result that corresponds to operation information or an operation sound of a magnetic resonance imaging apparatus; and an estimation unit configured to estimate audio for which the operation sound has been reduced in operation-sound-included audio in which the operation sound and audio of a subject are overlapped, using the learning result. ## Claims ### Claim 1 An information processing apparatus comprising: a selection unit configured to select a learning result that corresponds to operation information or an operation sound of a magnetic resonance imaging apparatus; and an estimation unit configured to estimate audio for which the operation sound has been reduced in operation-sound-included audio in which the operation sound and audio of a subject are overlapped, using the learning result. ### Claim 2 (depends on 1) The information processing apparatus according to claim 1, wherein the selection unit selects the learning result by comparing at least a portion of a waveform of the operation sound and a waveform of the operation-sound-included audio. ### Claim 3 (depends on 2) The information processing apparatus according to claim 2, wherein the selection unit selects the learning result based on correlation information obtained from the waveform of the operation sound and the waveform of the operation-sound-included audio. ### Claim 4 (depends on 1) The information processing apparatus according to claim 1, wherein in a case where operation information obtained from the magnetic resonance imaging apparatus has been changed, the selection unit obtains a learning result that corresponds to new operation information. ### Claim 5 (depends on 1) The information processing apparatus according to claim 1, wherein the selection unit determines a level of an input volume of the operation sound or the operation-sound-included audio in a time series and, in a case where the input volume is smaller than a threshold volume for a certain amount of time and the input volume rises, exceeding the threshold volume, obtains a learning result that corresponds to a newly obtained operation sound. ### Claim 6 (depends on 1) The information processing apparatus according to claim 1, wherein the selection unit obtains a level of an input volume of the operation sound or the operation-sound-included audio at predetermined time intervals and, in a case where a peak value or a standard deviation of the input volume exceeds a reference threshold, obtains a learning result that corresponds to a newly obtained operation sound. ### Claim 7 (depends on 1) The information processing apparatus according to claim 1, wherein the estimation unit causes an audio output unit to output synthesized audio for which a signal indicating an audio region obtained based on the estimated audio and a signal indicating a non-audio region obtained based on the operation-sound-included audio have been synthesized. ### Claim 8 (depends on 7) The information processing apparatus according to claim 7, wherein the estimation unit generates the synthesized audio using an emphasized signal for which the signal indicating the audio region has been emphasized compared to the signal indicating the non-audio region or a suppressed signal for which the signal indicating the non-audio region has been suppressed compared to the signal indicating the audio region. ### Claim 9 (depends on 1) The information processing apparatus according to claim 1, wherein the estimation unit generates operation-sound-included audio for evaluation from a signal of an operation sound for which a signal of an audio region of the subject has been removed from the operation-sound-included audio and clean audio of the subject used for the learning result, generates operation-sound-reduced audio for which the signal of the operation sound has been reduced in the operation-sound-included audio for evaluation, using a plurality of pieces of conversion information for converting operation-sound-included audio for learning into the clean audio, obtains evaluation information for evaluating the plurality of pieces of conversion information, using the operation-sound-reduced audio and the clean audio, and selects, as the learning result, one piece of conversion information from the plurality of pieces of conversion information based on the evaluation information. ### Claim 10 (depends on 1) The information processing apparatus according to claim 1, further comprising a learning processing unit configured to perform learning processing for obtaining the learning result, using operation-sound-included audio for learning generated by overlapping an operation sound for learning and clean audio of a subject, which have been obtained in advance, wherein the learning processing unit generates a new operation sound by summing products of operation sounds for learning and coefficients, adds the generated new operation sound to the operation sound for learning, and performs the learning processing. ### Claim 11 (depends on 10) The information processing apparatus according to claim 10, wherein in a case where operation information of an operation sound that has not been learned is the same as learned operation information and an imaging condition setting is different from that of an operation sound that has been classified based on the operation information, the learning processing unit adds the operation sound that has not been learned into a class that is based on the operation information and performs the learning processing. ### Claim 12 (depends on 11) The information processing apparatus according to claim 11, wherein the learning processing unit obtains correlation information of a waveform of a learned operation sound and a waveform of an operation sound that has not been learned, adds the operation sound that has not been learned into a class that includes the learned operation sound whose correlation information is the highest, and performs the learning processing. ### Claim 13 (depends on 12) The information processing apparatus according to claim 12, wherein in a case where the operation information of the operation sound that has not been learned is different from the learned operation information or in a case where the correlation information is lower than a predetermined reference correlation value, the learning processing unit adds, as an operation sound that is based on new operation information, the operation sound that has not been learned and performs the learning processing. ### Claim 14 (depends on 10) The information processing apparatus according to claim 10, wherein the learning processing unit compares characteristics of a plurality of operation sounds that are classified based on the operation information, separates, from the classified plurality of operation sounds, operation sounds for which at least some of the characteristics match, and performs the learning processing in separated units. ### Claim 15 (depends on 10) The information processing apparatus according to claim 10, wherein the learning processing unit compares characteristics of a plurality of operation sounds that are classified into a respective one of a plurality of pieces of operation information and, in a case where operation sounds for which at least some of the characteristics match, performs the learning processing in units into which the plurality of operation sounds have been grouped. ### Claim 16 (depends on 1) The information processing apparatus according to claim 1, wherein the estimation unit includes a first computation model for performing the estimation and a second computation model configured so as to be lower in computational load than the first computation model, in a case where a processing load of a processor does not exceed a load threshold, selects the first computation model and performs the estimation, and in a case where the processing load of the processor exceeds the load threshold, selects the second computation model and performs the estimation. ### Claim 17 (depends on 1) The information processing apparatus according to claim 1, wherein the selection unit performs the selection, using a first processor, and the estimation unit performs the estimation, using a second processor different from the first processor. ### Claim 18 A magnetic resonance imaging apparatus comprising: a sound collecting unit configured to collect operation-sound-included audio in which an operation sound and audio of a subject are overlapped; a selection unit configured to select a learning result that corresponds to operation information or the operation sound; an estimation unit configured to estimate audio for which the operation sound has been reduced in the operation-sound-included audio, using the learning result. ### Claim 19 An information processing method comprising: selecting a learning result that corresponds to operation information or an operation sound of a magnetic resonance imaging apparatus; and estimating audio for which the operation sound has been reduced in operation-sound-included audio in which the operation sound and audio of a subject are overlapped, using the learning result. ### Claim 20 (depends on 19) A non-transitory computer-readable storage medium storing a program for causing a computer to execute the method according to claim 19.