A method for automatic image optimization in ultrasound imaging of an object is provided. The method includes transmitting a first ultrasound signal into the object, wherein the signal has a plurality of first signal parameters. The method also includes receiving a first set of electrical signals representing reflections of the first ultrasound signals from the object and processing the first set of electrical signals into a first image. The method evaluates an image quality cost function for the first image to produce a first image quality metric and determines a second plurality of signal parameters based upon the first image quality metric. Similarly, the method includes transmitting a second ultrasound signal into the object, wherein the signal has the second plurality of signal parameters and receiving a second set of electrical signals representing reflections of the second ultrasound signal from the object and processing the second set of electrical signals into a second image. The method also includes evaluating an image quality cost function for the second image to produce a second image quality metric. The method further includes comparing the first image quality metric and the second image quality metric to determine whether a maximized image quality metric has been reached and assigning multiple signal parameters that produced the maximized image quality metric as optimum parameters. The method further includes imaging and displaying the object using an ultrasound signal having the optimum parameters.
