31 results about "Colon polyps" patented technology

A method and system of CT colonography is presented that includes the acquisition of energy sensitive or energy-discriminating CT data from a colorectal region of a subject. CT data is acquired and decomposed into basis material density maps and used to differentiate and enhance contrast between tissues in the colorectal region. The invention is particularly applicable with the detection of colon polyps without cathartic preparation or insufflation of the colorectal region. The invention is further directed to the automatic detection of colon polyps.

A method of identifying colon polyps in a digital volume, wherein the volume includes a plurality of values corresponding to a domain of points in a 3D space, is provided. The method includes selecting a mother wavelet scaling function that corresponds to a polyp; performing a forward wavelet transformation on the volume to obtain a set of wavelet coefficients, wherein each wavelet coefficient is associated with a length scale; determining, for each length scale, a transformation magnitude; and forming, for each length scale, a transformed set of wavelet coefficients associated with the length scale. An inverse wavelet transform is performed on the transformed wavelet coefficients for each length scale to obtain a reconstructed volume, and the reconstructed volume is analyzed for the existence of polyps.

A method of identifying colon polyps in a digital volume, wherein the volume includes a plurality of values corresponding to a domain of points in a 3D space, is provided. The method includes selecting a mother wavelet scaling function that corresponds to a polyp; performing a forward wavelet transformation on the volume to obtain a set of wavelet coefficients, wherein each wavelet coefficient is associated with a length scale; determining, for each length scale, a transformation magnitude; and forming, for each length scale, a transformed set of wavelet coefficients associated with the length scale. An inverse wavelet transform is performed on the transformed wavelet coefficients for each length scale to obtain a reconstructed volume, and the reconstructed volume is analyzed for the existence of polyps.

A method of identifying spherical objects in a digital image is provided. The image comprises a plurality of 3D surface points. The method includes computing (101), at each point in a domain of the image, a gradient of the image; computing (102) an elementary structure tensor at each point in the domain of the image; determining (103) a structure tensor for each point in the domain of the image; finding (104) the eigenvalues of the structure tensors; and calculating (105) an isotropy measure for each structure tensor, wherein said isotropy measure is defined by a ratio of a smallest eigenvalue of said structured tensor by a largest eigenvalue of said structure tensor, wherein a spherical object correspond to an isotropy measure equal to unity.

The present invention relates to a method for predicting the incidence of a colon tumor, such as a colon polyp and colon cancer, and a causative factor thereof through metagenomic analysis of a bacterium-derived vesicle present in a human body-derived substance. More particularly, the present invention relates to a method for diagnosing a causative factor of a colon tumor and the risk of the incidence thereof by sequencing a metagenome present in a bacterium-derived vesicle present in excrement or urine. There are trillions of bacteria in an intestine, and the bacteria secrete vesicles out ofthe cells thereof for the purpose of information exchange. The bacteria are not absorbed into epithelial cells in a colon, but the vesicles secreted therefrom pass through the mucous membrane, are absorbed into the colonic epithelial cells, are distributed throughout the body via blood, and then are excreted through a liver and a kidney. The bacteria-derived vesicles may increase or decrease the occurrence of inflammation and cancer, and the present invention can be useful as a method for diagnosing the risk of the incidence of a colon tumor or a causative factor thereof by sequencing a genetic metagenome of a bacterium-derived vesicle present in a human body-derived substance. Further, an early diagnosis can still be made even after the incidence of a colon polyp or the onset of colon cancer, and the incidence of colon cancer can be lowered, and the treatment effect can be enhanced.

A set of enhancements to further improve the performance of deep learning artificial intelligence algorithms trained to detect and localize colon polyps. The enhancements spanning training data mining efficiencies and automation, training data augmentation, early detection of polyps enable a more performant colon polyp detection solution for use on colonoscopy procedure recordings or live procedures in endoscopy centers.

Herein described is an instrument guide for use with a colonoscope, the guide being adapted to be mounted to the colonoscope. The guide defines a channel along which an instrument can be passed during use. Also described is a method of removing a polyp from a colon including inserting a colonoscope into the colon, inserting an instrument guide into the colon, mounting the guide to the colonoscope, inserting an excision instrument, excising a polyp and withdrawing the excised polyp from the colon.

The present invention relates to a pharmaceutical composition for treating colorectal cancer including a material inhibiting the enzyme activity of peroxiredoxin 2 as an active ingredient, and more specifically, to a pharmaceutical composition for treating colorectal cancer, which exhibits the effect of reducing colon polyps via increase of active β-catenin degradation by inhibiting the activity of peroxiredoxin 2, based on the mechanism that promotes colorectal tumor by the interaction between peroxiredoxin 2 (PrxII) and tankyrase (TNKS) in an APC-mutant cell.

A method of formatting data for identifying colon polyps in a Computed Tomography Colonography (CTC) dataset comprising the steps of: extracting colon surface data, from the CTC dataset, within a sub-volume centered on a candidate polyp (CP) seed point; identifying individual sets of points corresponding to the CP's body and CP's base within the sub-volume; selecting the points corresponding to the body; re-formatting the candidate polyp by projecting the selected points corresponding to the body on to a tangent plane; and generating a series of cutting planes based on the reformatted candidate polyp.