US 12,078,703 B2
Automated field of view alignment for magnetic resonance imaging
Irina Fudulova, Moscow (RU); and Fedor Mushenok, Moscow (RU)
Assigned to Koninklijke Philips N.V., Eindhoven (NL)
Appl. No. 17/610,455
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed May 16, 2020, PCT No. PCT/EP2020/063744
§ 371(c)(1), (2) Date Nov. 11, 2021,
PCT Pub. No. WO2020/234204, PCT Pub. Date Nov. 26, 2020.
Claims priority of application No. 19175092 (EP), filed on May 17, 2019; and application No. 2019120557 (RU), filed on Jul. 2, 2019.
Prior Publication US 2022/0225888 A1, Jul. 21, 2022
Int. Cl. G06V 10/25 (2022.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); G01R 33/54 (2006.01); G01R 33/56 (2006.01); G06F 18/214 (2023.01); G06V 10/82 (2022.01)
CPC G01R 33/543 (2013.01) [A61B 5/0037 (2013.01); A61B 5/055 (2013.01); A61B 5/7235 (2013.01); A61B 5/7425 (2013.01); G01R 33/5608 (2013.01); G06F 18/214 (2023.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01); G06V 2201/03 (2022.01); G06V 2201/10 (2022.01)] 12 Claims
OG exemplary drawing
 
1. A medical system comprising:
a memory configured to store machine executable instructions, predictor algorithm-configured to output predicted field of view alignment data for a magnetic resonance imaging system in response to inputting one or more localizer magnetic resonance images and subject metadata, wherein the predictor algorithm comprises a trainable machine learning algorithm, wherein the predictor algorithm is a convoluted neural network, and the memory further stores a training data, wherein the training data contains training entries, wherein each of the training entries comprises one or more training magnetic resonance images, training subject metadata, and training field of view alignment data; wherein the memory further comprises a training algorithm configured for training the predictor algorithm using a comparison between the predicted field of view alignment data and the training field of view alignment dat;
a processor configured to control the medical system, wherein execution of the machine executable instructions causes the processor to:
receive the predicted field of view alignment data from the predictor algorithm in response to inputting the one or more training magnetic resonance images into the predictor algorithm and in response to inputting the training subject metadata;
determine the comparison between the predicted field of view alignment data and the training field of view alignment data; and
train the predictor algorithm using the comparison between the predicted field of view alignment data and the training field of view alignment data;
receive the one or more localizer magnetic resonance images and the subject metadata; and
receive the predicted field of view alignment data from the predictor algorithm in response to inputting the one or more localizer magnetic resonance images into the predictor algorithm and in response to inputting the subject metadata.