Organ localization in biomedical image data using gradient fields cross-correlation
AssigneeiCAD, Inc.
InventorsSergey Fotin, Senthil Periaswamy
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Abstract
This invention provides a system, method and computer-readable medium for detecting and localizing organs and other regions of interest in medical image data provided by a medical imaging procedure using gradient template information with respect to an example of the imaged organ and cross-correlation techniques to generate object detection information. In an embodiment, the detection and localization process/processor receives a plurality of gradient templates and employers a template with the closest matching cross-correlation to the gradient of the organ in the medical image.
Claims37
A system for localizing a region of interest in a search image of at least a portion of a body comprising:
- a gradient template generated prior to a runtime based upon an expected image property of the region of interest;
- and
- a localization process/processor that, based upon the gradient template and during the runtime, identifies the region of interest and provides search image data that identifies portions of the region of interest;
- wherein the localization process/processor is based upon a cross-correlation of normalized gradient fields corresponding to the search image of the body and the gradient template.
A method for localizing a region of interest in a search image of at least a portion of a body comprising the steps of:
- providing, prior to a runtime, a stored gradient template based upon an expected image property of the region of interest;
- and
- detecting and localizing, based upon the gradient template and during the runtime, the region of interest and provides search image data that identifies portions of the region of interest;
- wherein the step of detecting and localizing includes cross-correlating normalized gradient fields corresponding to the search image of the body and the gradient template.
A non-transitory computer-readable medium including program instructions comprising:
- a data structure that includes one or more image gradient templates generated prior to a runtime with respect to at least one organ that is subjected to medical imaging;
- and
- an image-processing procedure that, during the runtime, employs the data structure to derive information about the at least one organ from image data by cross-correlating normalized gradient fields corresponding to a search image of the at least one organ and the one or more image gradient templates.
A method for localizing an organ in a medical image of at least a portion of a body comprising the steps of:
- providing a plurality of stored gradient templates based upon an organ prior to a runtime;
- receiving the medical image;
- and
- detecting the organ in the medical image, during the runtime, based upon at least one of the gradient templates in the plurality of gradient templates that produces a maximum cross-correlation with normalized gradients in the medical image.
The system as set forth in claim wherein the gradient template is normalized.
Dependencies are inferred from the claim text.