Instruments and methods for imaging collagen structure in vivo
AssigneeUniversity of Massachusetts
InventorsAnna N. Yaroslavsky, Victor Neel
Life of this patent
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Abstract
Instruments and methods for wide-field polarized imaging of the skin to determine an outer lesion margin objectively in vivo to provide guidance to a surgeon. Quantitative characterization of collagen structures in the skin can be used to determine the outer lesion margin or monitor skin treatment.
Claims25
An instrument for imaging a region of tissue to optimize in vivo determination of a boundary of a tumor, the instrument comprising:
- an illuminator configured for illuminating the region with at least one wavelength of light;
- an imaging detector configured for generating images of the region based upon cross-polarized light reflected from the region, wherein the at least one wavelength determines a depth of the images in the tissue;
- and
- a computer connected to the imaging detector and configured for receiving and storing the images, wherein the depth of the images in the tissue is selected to illustrate a collagen structure of the tissue so that the images are presented to a surgeon for determining surgical margins around the tumor based upon disruption in the collagen structure, wherein the computer is operative to:
- form a number of sub-areas of the images;
- classify each sub-area as one of:
- lesion;
- normal;
- and borderline based upon a reflectance of the sub-area, wherein:
- sub-areas classified as borderline have a reflectance within a range;
- sub-areas classified as normal have a reflectance above the range;
- and sub-areas classified as lesion have a reflectance below the range;
- and
- form an outer margin from stitching together consecutive borderline sub-areas.
An instrument for imaging a region of tissue to evaluate collagen structure, the instrument comprising:
- an illumination ring configured for illuminating the region with at least one wavelength of light;
- an imaging detector configured for generating images of the region based upon cross-polarized light reflected from the region over a period of time;
- and
- a computer connected to the imaging detector and configured for receiving and storing the images, wherein the images are of a depth in the tissue that illustrates the collagen structure so that the images are compared over the period of time to evaluate a treatment of the region, wherein the computer is operative to:
- form a number of sub-areas of the images;
- classify each sub-area as one of:
- lesion;
- normal;
- and borderline based upon a reflectance of the sub-area, wherein:
- sub-areas classified as borderline have a reflectance within a range;
- sub-areas classified as normal have a reflectance above the range;
- and sub-areas classified as lesion have a reflectance below the range;
- and
- form an outer margin from stitching together consecutive borderline sub-areas.
A method of imaging a region of tissue to optimize in vivo determination of a boundary of a tumor, the method comprising:
- illuminating the region with at least one wavelength of light;
- generating images of the region based upon cross-polarized light reflected from the region, wherein the at least one wavelength determines a depth of the images in the tissue;
- and
- receiving and storing the generated images, wherein the depth of the images in the tissue is selected to illustrate a collagen structure of the tissue;
- determining a surgical margin around the tumor based upon disruption in the collagen structure, wherein determining the surgical margin includes:
- forming a number of sub-areas of the images;
- classifying each sub-area as one of:
- lesion;
- normal;
- and borderline based upon a reflectance of the sub-area, wherein:
- sub-areas classified as borderline have a reflectance within a range;
- sub-areas classified as normal have a reflectance above the range;
- and sub-areas classified as lesion have a reflectance below the range;
- and
- forming an outer margin from stitching together consecutive borderline sub-areas.
Dependencies are inferred from the claim text.