Image data pre-processing

A device configured for reducing processing time of an application for visualizing image data, wherein the application is one of a plurality of applications selectable by a user, wherein each of the plurality of applications comprises at least one of a plurality of pre-processing algorithms for pre-processing the image data before actual processing of the image data is started, the device comprising:

• an input interface configured to access the image data, metadata, and/or additional data associated with the image data;
• a memory comprising application data representing the plurality of applications and instruction data representing a set of instructions;
• and
• a processor configured to communicate with the input interface and the memory and to execute the set of instructions, wherein the set of instructions, when executed by the processor, causes the processor to predict, in response to a selection of an application by the user, which one of the plurality of pre-processing algorithms is to be performed by:
• extracting a feature vector from the image data, metadata, and/or additional data associated with the image data,
• supplying the feature vector as input to a machine learned model, wherein the machine learned model is stored as model data in the memory,
• receiving an algorithm identifier as an output from the machine learned model, the algorithm identifier identifying at least one of the pre-processing algorithms,
• the set of instructions, when executed by the processor, further causing the processor to:
• use the algorithm identifier to select one or more of the pre-processing algorithms, thereby obtaining a selected one or more of the pre-processing algorithms, and
• pre-process the image data using the selected one or more of the pre-processing algorithms.

A device configured for reducing processing time of a processing application for visualizing medical diagnostic image data, wherein the application is one of a plurality of pre-processing applications selectable by a user, wherein each of the plurality of applications includes one or more pre-processing algorithms for pre-processing the medical diagnostic image data, the device including one or more processors configured to:

• receive from an input interface the medical diagnostic image data, metadata, and/or additional data associated with the medical image data and one or more user selected applications;
• predict which one or more of the pre-processing algorithms is to be performed in response to the one or more user-selected applications by:
• extracting a feature vector from the medical diagnostic image data, the metadata, and/or the additional data associated with the medical diagnostic image data,
• supplying the feature vector as an input to a machine learned model, and
• receiving one or more algorithm identifiers as an output from the machine learned model identifying one or more of the pre-processing algorithms;
• use the one or more algorithm identifiers to select the one or more pre-processing algorithms;
• and
• pre-process the medical diagnostic image data using the one or more selected pre-processing algorithms.