US2010156921A1PendingUtilityA1
Methods and devices useful for analyzing color medical images
Est. expiryFeb 12, 2023(expired)· nominal 20-yr term from priority
Inventors:Geoffrey MclennanMartin DonnelleyDeepa GopalakrishnanEric HoffmanJoseph M. ReinhardtMelissa Suter
G06V 10/56G06T 7/0012G06T 2207/10016G06T 2200/24G06T 2207/30004G06T 7/90
43
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Claims
Abstract
In one embodiment, a method that includes comparing a subject color medical image to normal color medical image data; and identifying abnormal pixels from the subject color medical image. Another embodiment includes a computer readable medium comprising machine readable instructions for implementing one or more steps of that method. Another embodiment includes a device that has a field programmable gate array configured to perform one or more of the steps of that method. Another embodiment includes a device that has an application specific integrated circuit configured to perform one or more of the steps of that method.
Claims
exact text as granted — not AI-modified1 . A method comprising:
comparing a subject color medical image to normal color medical image data; and identifying abnormal pixels from the subject color medical image.
2 . The method of claim 1 , further comprising:
acquiring the subject color medical image using an endoscope.
3 . The method of claim 1 , where the subject color medical image has been converted from an image that is acquired initially in gray scale.
4 . The method of claim 1 , further comprising:
acquiring the subject color medical image data in a device dependent color space; and converting the device dependent color space to a device independent color space.
5 . The method of claim 1 , where the abnormal pixels are abnormal in terms of saturation.
6 . The method of claim 1 , where the abnormal pixels are abnormal in terms of hue.
7 . The method of claim 1 , where the identification of abnormal pixels from the subject color medical image includes providing a variable threshold for determining whether a pixel from the subject color medical image is abnormal in terms of hue or saturation.
8 . The method of claim 1 , further comprising:
displaying a histogram that includes (i) saturation information about the subject color medical image and (ii) saturation information about the normal color medical image data.
9 . The method of claim 8 , where the displaying comprises displaying a histogram that includes (i) a saturation distribution of pixels from the subject color medical image and (ii) a saturation distribution of pixels from the normal color image data.
10 . The method of claim 1 , further comprising:
displaying the subject color medical image and highlighting areas of the subject color medical image that have a saturation that is greater than normal.
11 . The method of claim 1 , further comprising:
displaying a histogram that includes (i) hue information about the subject color medical image and (ii) hue information about the normal color medical image data.
12 . The method of claim 11 , where the displaying comprises displaying a histogram that includes (i) a hue distribution of pixels from the subject color medical image and (ii) a hue distribution of pixels from the normal color image data.
13 . A computer readable medium comprising machine readable instructions for implementing one or more of the steps of the method of any of claims 1 - 12 .
14 . A method comprising:
displaying a subject color medical image; comparing the subject color medical image to normal color medical image data to identify abnormal pixels from the subject color medical image; and highlighting abnormal pixels on the displayed subject color medical image.
15 . The method of claim 14 , where the subject color medical image has been converted from an image that is acquired initially in gray scale.
16 . The method of claim 14 , further comprising:
acquiring the subject color medical image in a device dependent color space; and converting the device dependent color space to a device independent color space.
17 . The method of claim 14 , where the highlighting includes highlighting areas of the displayed subject color medical image that have a saturation that is greater than normal.
18 . The method of claim 14 , where the comparing includes providing a variable threshold for determining whether a pixel from the subject color medical image is abnormal in terms of hue or saturation.
19 . The method of claim 14 , further comprising:
displaying a histogram that includes (i) saturation information about the subject color medical image and (ii) saturation information about the normal color medical image data.
20 . The method of claim 19 , where the displaying comprises displaying a histogram that includes (i) a saturation distribution of pixels from the subject color medical image and (ii) a saturation distribution of pixels from the normal color image data.
21 . The method of claim 14 , further comprising:
displaying a histogram that includes (i) hue information about the subject color medical image and (ii) hue information about the normal color medical image data.
22 . The method of claim 21 , where the displaying comprises displaying a histogram that includes (i) a hue distribution of pixels from the subject color medical image and (ii) a hue distribution of pixels from the normal color image data.
23 . A computer readable medium comprising machine readable instructions for implementing one or more of the steps of the method of any of claims 14 - 22 .
24 . A method comprising:
acquiring a subject color medical image using an endoscope; displaying a region of interest from the subject color medical image; comparing the region of interest to normal color medical image data to identify abnormal pixels from the region of interest; and highlighting abnormal pixels on the displayed region of interest.
25 . The method of claim 24 , where the subject color medical image has been converted from an image that is acquired initially in gray scale.
26 . The method of claim 1 , where the subject color medical image is acquired in a device dependent color space, and further comprising:
converting the device dependent color space to a device independent color space.
27 . The method of claim 24 , where the highlighting includes highlighting areas of the displayed region of interest that have a saturation that is greater than normal.
28 . The method of claim 24 , where the comparing includes providing a variable threshold for determining whether a pixel from the region of interest is abnormal in terms of hue or saturation.
29 . The method of claim 24 , further comprising:
displaying a histogram that includes (i) saturation information about the region of interest and (ii) saturation information about the normal color medical image data.
30 . The method of claim 29 , where the displaying comprises displaying a histogram that includes (i) a saturation distribution of pixels from the region of interest and (ii) a saturation distribution of pixels from the normal color image data.
31 . The method of claim 24 , further comprising:
displaying a histogram that includes (i) hue information about the region of interest and (ii) hue information about the normal color medical image data.
32 . The method of claim 31 , where the displaying comprises displaying a histogram that includes (i) a hue distribution of pixels from the region of interest and (ii) a hue distribution of pixels from the normal color image data.
33 . A computer readable medium comprising machine readable instructions for implementing one or more of the steps of the method of any of claims 24 - 32 .Cited by (0)
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