A method of detecting an anatomical structure in a first volume of ultrasound data, the method comprising: detecting the anatomical structure in a second volume of ultrasound data, the second volume and the first volume representing different but overlapping regions of a patient; generating, by a processor, a second image of a second slice of the second volume, the second slice comprising data representing a plane in the second volume and including the anatomical structure and an anatomical landmark; generating, by the processor, a series of images of slices of the first volume, the slices of the first volume comprising data representing planes in the first volume and including the anatomical landmark; comparing, by the processor, the series of images to the second image; and identifying, by the processor based on the comparing, a first image from the series of images that contains a representation of the anatomical structure, wherein the identified image from the series is selected based on also including the anatomical landmark and the anatomical structure, wherein the comparing comprises the generation of a similarity value between the images of the series of images and the second image, wherein the identifying comprises identifying the first image as having a largest similarity value of the series of images and wherein the generating the series of images of slices of the first volume comprises generating images for slices of the first volume incrementally in a radial pattern having the anatomical landmark as the origin and wherein the generating the second image and the generating the series of images comprises generating the images with the anatomical landmark in a center of the images. detecting the anatomical structure in a second volume of ultrasound data, the second volume and the first volume representing different but overlapping regions of a patient; generating, by a processor, a second image of a second slice of the second volume, the second slice comprising data representing a plane in the second volume and including the anatomical structure and an anatomical landmark; generating, by the processor, a series of images of slices of the first volume, the slices of the first volume comprising data representing planes in the first volume and including the anatomical landmark; comparing, by the processor, the series of images to the second image; and identifying, by the processor based on the comparing, a first image from the series of images that contains a representation of the anatomical structure, wherein the identified image from the series is selected based on also including the anatomical landmark and the anatomical structure, wherein the comparing comprises the generation of a similarity value between the images of the series of images and the second image, generating, by a processor, a second image of a second slice of the second volume, the second slice comprising data representing a plane in the second volume and including the anatomical structure and an anatomical landmark; generating, by the processor, a series of images of slices of the first volume, the slices of the first volume comprising data representing planes in the first volume and including the anatomical landmark; comparing, by the processor, the series of images to the second image; and identifying, by the processor based on the comparing, a first image from the series of images that contains a representation of the anatomical structure, wherein the identified image from the series is selected based on also including the anatomical landmark and the anatomical structure, wherein the comparing comprises the generation of a similarity value between the images of the series of images and the second image, wherein the identifying comprises identifying the first image as having a largest similarity value of the series of images and wherein the generating the series of images of slices of the first volume comprises generating images for slices of the first volume incrementally in a radial pattern having the anatomical landmark as the origin and wherein the generating the second image and the generating the series of images comprises generating the images with the anatomical landmark in a center of the images.