A system for selecting an acquisition parameter for an imaging system, wherein the acquisition parameter at least in part defines an imaging configuration of the imaging system during an imaging procedure with a patient, comprising: - a camera data interface configured to access a depth-related map which is generated on the basis of sensor data from a camera system, wherein the camera system has a field of view which includes at least part of a field of view of the imaging system, wherein the sensor data is obtained before the imaging procedure with the patient and indicative of a distance that parts of the patient's exterior have towards the camera system; - a memory comprising instruction data representing a set of instructions; - a processor configured to communicate with the camera data interface and the memory and to execute the set of instructions, wherein the set of instructions, when executed by the processor, cause the processor to apply a machine learning algorithm to the depth-related map to identify the acquisition parameter, wherein: - the machine learning algorithm is represented by algorithm data which is stored in the memory and accessed by the processor, and - the machine learning algorithm is trained using training data comprising sets of i) an example depth-related map and ii) as prediction value, an example acquisition parameter, wherein the example acquisition parameter represents a selection by a human operator in a previous imaging procedure with a previous patient, wherein the example depth-related map is generated on the basis of sensor data obtained by a same or similar type of camera system during the previous imaging procedure; and - an output interface configured to output the acquisition parameter to be used by the imaging system. - a camera data interface configured to access a depth-related map which is generated on the basis of sensor data from a camera system, wherein the camera system has a field of view which includes at least part of a field of view of the imaging system, wherein the sensor data is obtained before the imaging procedure with the patient and indicative of a distance that parts of the patient's exterior have towards the camera system; - a memory comprising instruction data representing a set of instructions; - a processor configured to communicate with the camera data interface and the memory and to execute the set of instructions, wherein the set of instructions, when executed by the processor, cause the processor to apply a machine learning algorithm to the depth-related map to identify the acquisition parameter, wherein: - the machine learning algorithm is represented by algorithm data which is stored in the memory and accessed by the processor, and - the machine learning algorithm is trained using training data comprising sets of i) an example depth-related map and ii) as prediction value, an example acquisition parameter, wherein the example acquisition parameter represents a selection by a human operator in a previous imaging procedure with a previous patient, wherein the example depth-related map is generated on the basis of sensor data obtained by a same or similar type of camera system during the previous imaging procedure; and - the machine learning algorithm is represented by algorithm data which is stored in the memory and accessed by the processor, and - the machine learning algorithm is trained using training data comprising sets of i) an example depth-related map and ii) as prediction value, an example acquisition parameter, wherein the example acquisition parameter represents a selection by a human operator in a previous imaging procedure with a previous patient, wherein the example depth-related map is generated on the basis of sensor data obtained by a same or similar type of camera system during the previous imaging procedure; and - an output interface configured to output the acquisition parameter to be used by the imaging system.