US2002177779A1PendingUtilityA1
Method and system for detecting colorimetric abnormalities in vivo
Priority: Mar 14, 2001Filed: Mar 14, 2002Published: Nov 28, 2002
Est. expiryMar 14, 2021(expired)· nominal 20-yr term from priority
A61B 1/000094G06T 7/0012A61B 5/073A61B 1/041A61B 5/0075G06T 2207/10024A61B 1/00045G06T 2207/30028A61B 5/0084G06T 2207/10068A61B 5/0031A61B 5/02042A61B 5/742G06T 7/90A61B 5/743
42
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Claims
Abstract
A system and method for detection of colorimetric abnormalities within a body lumen includes an image receiver for receiving images from within the body lumen. Also included are a transmitter for transmitting the images to a receiver, and a processor for generating a probability indication of presence of colorimetric abnormalities on comparison of color content of the images and at (east one reference value.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method for detecting abnormalities in-vivo, the method comprising the steps of:
analyzing an image for at least one spectral characteristic; and creating an abnormality determination based on the analysis.
2 . The method of claim 1 , wherein the abnormality determination is a determination of the presence of an abnormality.
3 . The method of claim 1 , wherein the abnormality determination is a probability determination of the presence of an abnormality.
4 . The method of claim 1 , wherein analyzing the image includes at least analyzing the image for at least one spectral characteristic in relation to a reference value.
5 . The method of claim 1 , wherein the image is of a body lumen.
6 . A method as in claim 1 , wherein said spectral characteristics include hue values.
7 . A method as in claim 1 , wherein said at least one reference value includes a pathology sample.
8 . A method as in claim 7 , wherein said pathology sample includes blood.
9 . A method as in claim 1 , wherein said abnormality is due to the presence of blood.
10 . A method as in claim 1 , wherein said analysis includes comparing images.
11 . A method as in claim 1 wherein the image is received from an in-vivo camera imager.
12 . A method as in claim 1 wherein the image is received from a capsule.
13 . A method according to claim 1 , further comprising deterimining the position of the image.
14 . A system for detecting abnormalities in-vivo, the system comprising:
an image receiver means for receiving images; an analysis means for analyzing an image for at least one spectral characteristic and for making an abnormality determination based on the analysis.
15 . A system for detecting abnormalities in-vivo, the system comprising:
an image receiver module capable of receiving images; an analysis module capable of analyzing an image for at least one spectral characteristic and making an abnormality determination based on the analysis.
16 . The system of claim 15 wherein the abnormality determination is a probability.
17 . The system of claim 15 , wherein analyzing the image includes at least analyzing the image for at least one spectral characteristic in relation to a reference value.
18 . The system of claim 15 , wherein the image is of a body lumen.
19 . The system as in claim 17 , wherein said at least one reference value includes a healthy tissue reference value.
20 . The system as in claim 17 , wherein said at least one reference value includes a pathology sample.
21 . The system as in claim 20 , wherein said pathology sample includes blood.
22 . The system as in claim 15 , wherein said abnormality is due to the presence of blood.
23 . The system as in claim 15 , wherein said analysis includes comparing images.
24 . The system as in claim 15 wherein the image is received from an in-vivo camera imager.
25 . The system as in claim 15 wherein the image is received from a capsule.
26 . A method for calculation of a reference value for tissue, the method comprising the steps of:
receiving at least a first image and a second image from within a body lumen; selecting blocks of pixels within said images based on colorimetric parameters; averaging said colorimetric parameters of said selected blocks of pixels of said at least first and second images; and filtering said calorimetric parameters, thereby obtaining a reference value for tissue.
27 . A method as in claim 26 , wherein said step of receiving includes receiving multiple images.
28 . A method as in claim 26 , wherein said colorimetric parameters include hue.
29 . A method as in claim 26 , wherein said colorimetric parameters include brightness.
30 . A method as in claim 26 , wherein said tissue is healthy tissue.
31 . A swallowable capsule for detecting colorimetric abnormalities in a gastrointestinal tract, the capsule comprising:
an image-receiver for receiving images from said gastrointestinal tract; and a processor for generating a probability indication for presence of colorimetric abnormalities by comparing color content of said images to at least one reference value.
32 . A capsule as in claim 31 , wherein said at least one reference value is a pathology sample.
33 . A capsule as in claim 32 wherein said pathology sample includes blood.
34 . A capsule as in claim 31 , wherein said at least one reference value includes a healthy tissue reference sample.
35 . A capsule as in claim 31 , wherein said at least one reference value includes a pathology sample.
36 . A capsule as in claim 31 , wherein said color content includes spectral characteristics.
37 . A capsule as in claim 36 , wherein said spectral characteristics include hue.
38 . A capsule as in claim 36 , wherein said spectral characteristics include saturation.
39 . A capsule as in claim 36 wherein said spectral characteristics include brightness.
40 . An apparatus for determining calorimetric abnormalities within a body lumen, said apparatus comprising:
an image-receiver capable of receiving images from a body lumen; a spectral analyzer capable of determining color content of said images; and a processor capable of generating a probability indication for presence of an abnormal condition by comparing said color content to at least one reference value.
41 . An apparatus as in claim 40 wherein said processor is configured for real-time processing.
42 . An apparatus as in claim 40 , wherein said processor is configured for post-processing.
43 . An apparatus as in claim 40 , wherein said pathological condition includes bleeding
44 . An apparatus as in claim 40 , wherein said at least one reference value includes a value for healthy tissue.
45 . An apparatus as in claim 40 , wherein said at least one reference value includes a value for pathological tissue.
46 . A system for detection of a calorimetric abnormality within the gastrointestinal tract, said system comprising:
a swallowable capsule having an in-vivo imager for obtaining images from within said body lumen; a transmitter capable of transmitting said images to a receiver; and a processor capable of generating a probability indication of presence of blood based on comparison of color content of said received images and at least one reference value.
47 . A system according to claim 36 wherein said colorimetric abnormality indicates a pathological condition.
48 . A system according to claim 37 wherein said pathological condition includes bleeding.
49 . A system according to claim 36 wherein said at least one reference value includes a value for healthy tissue.
50 . A system according to claim 36 wherein said at least one reference value includes a value for pathological tissue.
51 . A system according to claim 36 , further comprising a position indicators thereby allowing visualization of a location of said results within said body lumen.
52 . A method for detecting abnormalities in-vivo, the method comprising the steps of:
analyzing an image stream for at least one spectral characteristic; creating an abnormality determination based on the analysis; and presenting to a user the abnormality determination.
53 . The method of claim 52 , wherein the abnormality determination is a determination of the probabiltiy of an abnormality.
54 . The method according to claim 1 , wherein the image is part of an image stream.
55 . An apparatus for determining colorimetric abnormalities in-vivo, said apparatus comprising:
an image-receiver capable of receiving images; and a processor capable of analyzing color content of said images, generating a an abnormality indication for the presence of an abnormal condition and presenting to a user an abnormality diagnosis.Join the waitlist — get patent alerts
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