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US 12,536,703 B1Granted
System for producing three-dimensional medical images using a calibration slate
OwnerFrancis Godwin James, Jr., Shoban Pattaminventors
Life of this patent
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Abstract
A system produces three-dimensional medical images that are calibrated using a calibration slate. A subject is photographed with a calibration slate shown in the image. The slate includes printed colors that can be compared against standard colors associated with the slate to color calibrate the image. Two-dimensional images of the subject may be used to construct a three-dimensional image that shows wounds or other skin conditions that are color calibrated.
Claims32
A method of color calibrating a three-dimensional image related to the medical field, said method comprising the steps of:
- capturing one or more two-dimensional images of a subject on an image recording device, wherein the one or more two-dimensional images include a calibration slate appearing in the one or more two-dimensional images, wherein the calibration slate has a print run number that identifies a batch of printed calibration slates which includes the calibration slate appearing in the one or more two-dimensional images, a unique identifier that individually identifies the calibration slate appearing in the one or more two-dimensional images, and a color chart comprising at least one color;
- reading the unique identifier and validating the calibration slate based on the unique identifier;
- measuring a first numeric color value from the at least one color in the color chart of the calibration slate appearing in the one or more two-dimensional images;
- reading the print run number;
- associating the print run number with the batch of printed calibration slates which includes the calibration slate appearing in the one or more two-dimensional images, wherein each calibration slate in the batch is substantially similar, wherein the first measured numeric color value has a corresponding known numeric color value associated with the batch of calibration slates;
- comparing the first measured numeric color value to the corresponding known numeric color value;
- calculating a first variance between the first measured numeric color value and the corresponding known numeric color value;
- calculating a first calibration factor based on the first variance between the first measured numeric color value and the corresponding known numeric color value;
- color calibrating the one or more two-dimensional images by adjusting the colors of the one or more two-dimensional images to produce one or more calibrated two-dimensional images, wherein the colors of the one or more two-dimensional images are adjusted by applying the first calibration factor to numeric color values measured from the one or more two-dimensional images;
- generating point cloud data relating to the subject of the one or more two-dimensional images;
- constructing a three-dimensional model of the subject utilizing the point cloud data;
- applying the one or more calibrated two-dimensional images to the three-dimensional model to produce a three-dimensional image of the subject, wherein the three-dimensional image shows the calibration slate that appears in the one or more two-dimensional images, wherein the color chart of the calibration slate shown in the three-dimensional image comprises at least one calibrated color;
- measuring a second numeric color value from the at least one calibrated color in the color chart of the calibration slate shown in the three-dimensional image;
- comparing the second measured numeric color value to the corresponding known numeric color value;
- calculating a second variance between the second measured numeric color value and the corresponding known numeric color value;
- calculating a second calibration factor based on the second variance between the second measured numeric color value and the corresponding known numeric color value;
- and
- color calibrating the three-dimensional image by adjusting the colors of the three-dimensional image to produce a calibrated three-dimensional image, wherein the colors of the three-dimensional image are adjusted by applying the second calibration factor to numeric color values measured from the three-dimensional image.
15 more elements
A method of calibrating a three-dimensional image related to the medical field, said method comprising the steps of:
- capturing a plurality of two-dimensional images of a subject on an image recording device, wherein each of the captured two-dimensional images shows the same subject appearing in each respective two-dimensional image, wherein each of the captured two-dimensional images includes a calibration slate appearing in each respective two-dimensional image, wherein the calibration slate appearing in each respective two-dimensional image is the same calibration slate, wherein the calibration slate has a print run number that identifies a batch of printed calibration slates which includes the calibration slate appearing in each of the two-dimensional images, a unique identifier that individually identifies the calibration slate appearing in each of the two-dimensional images, and a color chart comprising at least one color;
- reading the unique identifier and validating the calibration slate based on the unique identifier;
- measuring a first numeric color value from the at least one color in the color chart of the calibration slate appearing in each respective two-dimensional image;
- reading the print run number;
- associating the print run number with the batch of printed calibration slates which includes the calibration slate appearing in each respective two-dimensional image, wherein each calibration slate in the batch is substantially similar, wherein the first measured numeric color value has a corresponding known numeric color value associated with the batch of calibration slates;
- comparing the first measured numeric color value to the corresponding known numeric color value;
- calculating a first variance between the first measured numeric color value and the corresponding known numeric color value;
- calculating a first calibration factor based on the first variance between the first measured numeric color value and the corresponding known numeric color value;
- color calibrating each of the plurality of two-dimensional images by adjusting the colors of each of the plurality of two-dimensional images to produce a plurality of calibrated two-dimensional images, wherein the colors of each of the plurality of two-dimensional images are adjusted by applying the first calibration factor to numeric color values measured from each of the plurality of two-dimensional images;
- constructing a three-dimensional image of the subject using the plurality of two-dimensional images, wherein the three-dimensional image shows the calibration slate that appears in each respective two-dimensional image, wherein the color chart of the calibration slate shown in the three-dimensional image comprises at least one calibrated color;
- measuring a second numeric color value from the at least one calibrated color in the color chart of the calibration slate shown in the three-dimensional image;
- comparing the second measured numeric color value to the corresponding known numeric color value;
- calculating a second variance between the second measured numeric color value and the corresponding known numeric color value;
- calculating a second calibration factor based on the second variance between the second measured numeric color value and the corresponding known numeric color value;
- and
- color calibrating the three-dimensional image by adjusting the colors of the three dimensional image to produce a calibrated three-dimensional image, wherein the colors of the three-dimensional image are adjusted by applying the second calibration factor to numeric color values measured from the three-dimensional image.
13 more elements
Dependencies are inferred from the claim text.