A system for coarse orientation detection, comprising: a non-transitory memory device for storing computer readable program code; and a processor device in communication with the memory device, the processor being operative with the computer readable program code to perform steps including receiving training images of an anatomical structure of interest, wherein the entire anatomical structure is located within the field of view of the image; training a convolutional neural network to recognize a coarse orientation of the anatomical structure of interest based on the training images, receiving one or more current images of the anatomical structure of interest, wherein the entire anatomical structure is located within the field of view of the image; passing the one or more current images through the trained convolutional neural network to generate the coarse orientation of the anatomical structure of interest, and controlling an imaging device for image acquisition based on the generated coarse orientation, characterized in that receiving the training images of the anatomical structure of interest comprises receiving two-channel two-dimensional images generated from one or more three-dimensional image volumes and wherein receiving the two-channel 2D images comprises receiving pairs of coronal and sagittal slices of the anatomical structure of interest. a non-transitory memory device for storing computer readable program code; and a processor device in communication with the memory device, the processor being operative with the computer readable program code to perform steps including receiving training images of an anatomical structure of interest, wherein the entire anatomical structure is located within the field of view of the image; training a convolutional neural network to recognize a coarse orientation of the anatomical structure of interest based on the training images, receiving one or more current images of the anatomical structure of interest, wherein the entire anatomical structure is located within the field of view of the image; passing the one or more current images through the trained convolutional neural network to generate the coarse orientation of the anatomical structure of interest, and controlling an imaging device for image acquisition based on the generated coarse orientation, receiving training images of an anatomical structure of interest, wherein the entire anatomical structure is located within the field of view of the image; training a convolutional neural network to recognize a coarse orientation of the anatomical structure of interest based on the training images, receiving one or more current images of the anatomical structure of interest, wherein the entire anatomical structure is located within the field of view of the image; passing the one or more current images through the trained convolutional neural network to generate the coarse orientation of the anatomical structure of interest, and controlling an imaging device for image acquisition based on the generated coarse orientation, characterized in that receiving the training images of the anatomical structure of interest comprises receiving two-channel two-dimensional images generated from one or more three-dimensional image volumes and wherein receiving the two-channel 2D images comprises receiving pairs of coronal and sagittal slices of the anatomical structure of interest. <EOS>