System and method for detection and display of diseases and abnormalities using confidence imaging
First Claim
1. A method for processing an image of a region of interest in a person or:
- other mammal to detect abnormalities, comprising;
(a) receiving an image having spatial information of the region of interest taken at plural times;
(b) processing the image using at least one predetermined feature template, morphology parameters, and intensity parameters varying over the plural times, to determine a confidence image, wherein each feature template represents at least one predetermined detectable feature for the region of interest and the confidence image represents a likelihood that the at least one feature is present in the region of interest; and
(c) outputting the confidence image for further processing and detection of abnormal features.
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Abstract
The present invention provides a method, apparatus, and computer instructions for improved detection and display of abnormal regions in mammals such as tumors, lesions, and other abnormalities (collectively referred to as abnormalities). In a preferred embodiment, a system and process is disclosed for classification of image points in the spatial dimensions and subsequent segmentation and classification of regions using morphological descriptors that operate in up to three spatial dimensions. Additionally, mapping of a set of classification images to color and opacity parameters is provided for display purposes. After image data is captured and readied for processing, each spatial point in the image is evaluated against predetermined intensity-time parameters. The resulting intensity-time confidence image is then processed to identify distinct regions within the image, and evaluate morphological characteristics of the identified regions using predetermined morphology templates/parameters. A confidence value is determined for each region, and this value is applied to the intensity-time value for each spatial point. The resulting output is a confidence image for the patient'"'"'s region of interest, that can be used to detect different abnormalities, and display them in a conveniently manipulatable manner so a medical service provider can better understand the abnormality and take more directed actions (e.g., refined procedures) to remedy it as appropriate. The computational system disclosed can thoroughly and automatically detect these temporal patterns, as well as morphological patterns, and not only marks them for visual inspection with a confidence level, but also identifies the type or kind of cancer with an assigned probability, giving accurate indications of the extent of the cancer.
93 Citations
32 Claims
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1. A method for processing an image of a region of interest in a person or:
- other mammal to detect abnormalities, comprising;
(a) receiving an image having spatial information of the region of interest taken at plural times;
(b) processing the image using at least one predetermined feature template, morphology parameters, and intensity parameters varying over the plural times, to determine a confidence image, wherein each feature template represents at least one predetermined detectable feature for the region of interest and the confidence image represents a likelihood that the at least one feature is present in the region of interest; and
(c) outputting the confidence image for further processing and detection of abnormal features. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
- other mammal to detect abnormalities, comprising;
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18. An information processing system for detecting abnormalities in a region of interest in a person or other mammal, the system comprising an input capable of receiving an image file comprising spatial information of the region of interest taken at plural times, a processor, and an image processing application, the image processing application comprising plural instructions and the processor is operably configured to execute said plural instructions, the plural instructions comprising:
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(a) confidence image determination instructions, for processing the image file using at least one predetermined feature template, morphology parameters, and intensity parameters varying over the plural times, to determine a confidence image, wherein each feature template represents at least one predetermined detectable feature for the region of interest and the confidence image represents a likelihood that the at least one feature is present in the region of interest; and
(b) detection instructions, for outputting the confidence image for further processing and detection of abnormal features. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26)
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27. A program product in a signal bearing medium executable by a device for generating a processed image file for use in detecting abnormalities in a region of interest in a person or other mammal, the product comprising:
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(a) input instructions for receiving an image having spatial information of the region of interest taken at plural times;
(b) confidence image determination instructions, for processing the image file using at least one predetermined feature template, morphology parameters, and intensity parameters varying over the plural times, to determine a confidence image including a composite intensity value for spatial points within the confidence image, wherein each feature template represents at least one predetermined detectable feature for the region of interest and the confidence image represents a likelihood that the at least one feature is present in the region of interest;
wherein the confidence image determination instructions further comprise instructions operable for capturing the image file via a magnetic resonance imaging (MRI) system and preprocessing the captured image to enhance detectability of the features, the image file comprising spatial information taken at least three predetermined times after the administration of a chemical having detectible wash-in and wash-out intensity characteristics in abnormalities within the period of the predetermined times, and(c) detection instructions, for outputting the confidence image for further processing and detection of abnormal features. - View Dependent Claims (28, 29)
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30. A method for determining regions of interest in a person or other mammal representing abnormalities from an MRI image comprising plural images taken at proximate times, the method comprising:
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(a) processing the image using at least one predetermined feature template, morphology parameters, and intensity parameters varying over the plural times, to determine a confidence image comprising a composite intensity value for each spatial point in the image, and further processing the composite intensity values to identify one or more regions of interest within the image sharing common predetermined characteristics, wherein the confidence image represents a likelihood that the region of interest includes an abnormality;
(b) displaying at least one of a 2-D or 3-D display representation of the confidence image for a medical service provider, and in response to input from the provider based on the display, redetermining the region of interest, wherein the input includes selection via a user interface of at least one of (a) locations within the image but outside of a region of interest, and (b) at least one new parameter used in determining the location and volume of the region of interest. (c) displaying a further display representation of the confidence image with a modified region of interest based on the user input; and
(d) repeating steps (c) and (d) as desired by the provider. - View Dependent Claims (31, 32)
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Specification