Koninklijke Philips Corporation N.V.

Yajing Zhang

Thomas Erik Amthor

Ingmar Graesslin

Joachim Schmidt

Tanja Nordhoff

Chenguang Zhao

Liqin Wang

Jiazheng Wang

The present invention relates to lesion detection. In order to improve lesion detection, it is proposed to combine the techniques of deep learning and the strategy of silhouette, i.e. subtraction between contrast-enhanced and non-contrast-enhanced, in order to reflect only the difference between the two images related to the lesion.

Lesion detection method

Disclosed herein is a medical system () comprising a memory () storing machine executable instructions () and a convolutional neural network (). The convolutional neural network is configured to receive as input a complex array () encoding a selection of at least one excitation field of view () and in response output a radio frequency wave form () and multiple spatially selective gradient pulse waveforms (). The convolutional neural network is a multi-task convolutional neural network. The execution of the machine executable instructions causes a computational system () to: receive () a selection () of the at least one excitation field of view; receive () initial pulse sequence commands (); encode () the complex array using the at least one excitation field of view; receive () the radio frequency wave form and the multiple spatially selective gradient pulse waveforms in response to inputting the complex array into the convolutional neural network; and construct () modified pulse sequence commands () by modifying the initial pulse sequence commands with the radio frequency wave form and the multiple spatially selective gradient pulse waveforms.

Realtime design of radio-frequency pulses and gradient pulses in magnetic resonance imaging

The present disclosure relates to a medical imaging method for enabling magnetic resonance imaging of a subject () using a set of imaging parameters of imaging protocols, the method comprising: receiving information related to the subject; using a predefined machine learning model for suggesting at least one imaging protocol for the received information, wherein the imaging protocol comprises at least part of the set of imaging parameters and associated values; providing the imaging protocol.

Method for enabling magnetic resonance imaging of a subject

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Suzhou, China

Yajing Zhang