62 results about "Lung lesion" patented technology

A method and a system are disclosed for labeling an anatomical point associated with a lesion in an organ such as a lung. The method includes: a segmentation of a vessel tree anatomical structure starting from an autonomously determined initial image point; labeling the vessel segments of the vessel tree segmentation with segment labels based on a priori anatomical knowledge, thereby creating an individualized anatomical model; receiving a user-specified image point having a location from a user and locating a nearby vessel structure; tracking along the vessel structure in a direction towards a root of a parent vessel tree until a prior labeled vessel segment is encountered in the anatomical model, and assigning the label of the encountered prior labeled vessel segment from the anatomical model as an anatomical location label of the user-specified image point.

Techniques for segmentation include determining an edge of voxels in a range associated with a target object. A center voxel is determined. Target size is determined based on the center voxel. In some embodiments, edges near the center are suppressed, markers are determined based on the center, and an initial boundary is determined using a watershed transform. Some embodiments include determining multiple rays originating at the center in 3D, and determining adjacent rays for each. In some embodiments, a 2D field of amplitudes is determined on a first dimension for distance along a ray and a second dimension for successive rays in order. An initial boundary is determined based on a path of minimum cost to connect each ray. In some embodiments, active contouring is performed using a novel term to refine the initial boundary. In some embodiments, boundaries of part-solid target objects are refined using Markov models.

The method for semi-automatic segmentation of lung CT image lesions disclosed in the present invention firstly divides the lung area, bone area and muscle area according to the data of all CT tomographic images of the patient's chest read by CT equipment, and initially determines the approximate location and range of the lesion to limit The region growing method segmented the lesion area of ​​other slices, and then enhanced the image of the segmented lesion area. The method of the present invention extracts data from each tomographic lesion based on the inherent characteristics that the same tissue has similar CT values ​​and the lesion body has continuity in three-dimensional space. The method is accurate and efficient for lesion segmentation, and has good practicability .

The invention relates to a traditional Chinese medicine prescription for treating pulmonary diseases, which comprises lapis chloriti, roasted ephedra, almond, schisandra, snakegourd peel and roasted licorice. Experiments prove that the traditional Chinese medicine prescription can obviously improve the pulmonary lesion and inflammatory reaction of a model rat with the chronic obstructive pulmonary disease at the acute exacerbation, so as to obviously reduce the contents of main inflammatory markers in the serum of the model rat, and simultaneously can promote the trachea repair of the model rat so as to prevent the occurrence and development of trachea inflammation. Clinical researches show that the traditional Chinese medicine prescription has a good effect and a high effect taking speed when being used for treating empirical pulmonary diseases, such as accumulation of pathogenic heat in the lung and obstruction of the lung by phlegm; the good effect can be achieved within 3-10 days, and the total effective rate reaches 96.6%; the traditional Chinese medicine prescription especially has good curative effects on chronic intractable pulmonary diseases induced by pathogenic heat and stubborn phlegm; the traditional Chinese medicine prescription does not have toxic or side effects; and the pulmonary diseases can not recur.