Optimal ultrasound-based organ segmentation

Abstract

A segmentation selection system includes a transducer configured to transmit and receive imaging energy for imaging a subject. A signal processor is configured to process imaging data received to generate processed image data. A segmentation module is configured to generate a plurality of segmentations of the subject based on features or combinations of features of the imaging data and/or the processed image data. A selection mechanism is configured to select one of the plurality of segmentations that best meets a criterion for performing a task. A graphical user interface permits a user to select features or combinations of features of imaging data or processed image data to generate the plurality of segmentations and to select a segmentation that best meets criterion for performing a task.

1 . A segmentation selection system, comprising:
 an ultrasound transducer configured to transmit and receive ultrasound energy for imaging a subject;   a B-mode processor configured to process imaging data received to generate processed image data;   a segmentation module configured to generate a plurality of segmentations of the subject based on one or more combinations of input data and segmentation metrics wherein the segmentation metrics are derived from imaging data that has not been compressed for image processing; and   a graphical user interface that permits a user to select features or combinations of features of imaging data and/or processed image data to generate the plurality of segmentations and to select a segmentation that best meets criterion for performing a task.   
     
     
         2 . The system as recited in  claim 1 , wherein the input data includes at least one of raw radiofrequency data, envelope detection data or B-mode display data 
     
     
         3 . The system as recited in  claim 1 , wherein the segmentation metrics include at least one of a statistical model signal to noise ratio data, contrast data, texture data or edge detection data. 
     
     
         4 . The system as recited in  claim 1 , further comprising an image processor configured to automatically select a segmentation that best meets the criterion for performing a task based upon programmed criteria. 
     
     
         5 . The system as recited in  claim 1 , further comprising a display for displaying images of the plurality of segmentations, wherein the images are displayed one of concurrently or sequentially on a B-mode image. 
     
     
         6 . A method for segmentation selection, comprising:
 receiving imaging energy for imaging a subject;   processing image data received to generate processed image data;   generating a plurality of segmentations of the subject based on features or combinations of features of raw imaging data and/or processed imaging data wherein the raw imaging data and/or processed imaging data includes at least one of raw radiofrequency data and envelope detection data; and   selecting at least one of the plurality of segmentations that best meets a segmentation criterion.   
     
     
         7 . The method as recited in  claim 6 , wherein selecting includes automatically selecting a segmentation based upon programmed criteria.