54 results about "Bone area" patented technology

The invention discloses an extraction method of a blood vessel centerline. The extraction method comprises the following steps of: on the basis of a medical image, extracting blood vessels and a plurality of connected domains; screening the plurality of connected domains, and obtaining n blood vessel connected domains; on the basis of the direction coordinate value of each blood vessel connected domain, marking the n blood vessel connected domains in a descending order; according to a descending order marking sequence, connecting centerlines between the (m+1)th connected domain and the mth connected domain in sequence, and enabling the centerlines to grow until a centerline among the n blood vessel connected domains finishes growing; and on the basis of the centerline, extracting the blood vessels. By use of the extraction method, which is provided by the invention, of the blood vessel centerline, the blood vessels which tightly cling to a bone area can be extracted, and an integral blood vessel tissue is obtained.

The invention is suitable for the field of medical image segmentation and provides a method and system for automatically segmenting bones from abdomen image data. The method comprises the steps of automatically extracting a first segmentation result comprising an abdomen aorta or part of an abdomen aorta area in the abdomen image data according to shape features of the abdomen aorta; according to the first segmentation result, modifying data comprising the abdomen aorta or part of the abdomen aorta area in the abdomen image data to obtain abdomen image modified data; automatically selecting at least one seed point of the bones from the abdomen image data; and according to the seed point and the abdomen image modified data, obtaining a second segmentation result of the bones by first threshold connection. Accordingly, bone areas can be segmented from an abdomen image automatically and accurately.

Methods and compositions are provided for the treatment and repair of defect in the cartilage in partial- or full-thickness defects in joints of animals, in particular humans. To induce cartilage formation, a defect in cartilage is filled with layers of thin flaps of synovium or of peritendineum, which contains chondro- and osteo-progenitor cells, with interposed layers of a matrix. The matrix contains a chondrogenic factor, which induces chondrogenesis of chondroprogenitor cells in the flaps, and an anti-hypertrophic agent, which arrest differentiation of chondrocytes in an early phase, in an appropriate delivery system. The matrix filling the bone area of a full-thickness defect may contain an osteogenic factor, which induces osteogenesis of osteoprogenitor cells. The layer of a flap between cartilage and bone areas may work as a barrier, which prevents blood vessels and associated cells from penetrating from the bone area into the cartilage area. To promote the induction of chondro- and osteo-genesis of the progenitor cells in the flaps of synovium or peritendineum effectively, the flaps may be treated with enzymes, e.g., matrix metalloproteinases or be punched by a needle before filling a defect.

The present invention discloses a figure segmentation method based on a depth map. The method comprises the concrete steps: (1), collecting a skeleton graph, a color image and a depth map at the same time through adoption of a Kinect sensor, and finding out a human body bone area; (2) mapping node coordinates of the skeleton graph area into the depth map, finding out a minimum rectangular area including all the skeleton nodes, and determining the initial figure area in the depth map; (3) performing area iteration expansion of the initial figure area based on the depth information, and obtaining a final rectangular area including a complete figure object; and (4) taking the rectangular area including the complete figure object as a seed area, designing an energy function according to the depth information and the color information of the image pixels, and obtaining a final figure object segmentation result through adoption of a modulated GrabCut algorithm. The figure segmentation method based on a depth map is able to obtain a rectangular area including a whole figure object through adoption of depth information to obtain an accurate and complete figure object segmentation result.

Disclosed is a method for measuring trabecular bone parameters from MRI images, including: scanning an experimental group with a 3D MRI scanner; segmenting the MRI images to extract bone area and perform skeletonization of the bone area; detecting end-point, joint and branch voxels in the skeleton to analyze bone structure; and measuring trabecular bone parameters based on the result of the structural analysis. The method enables diagnosing osteoporosis.

The invention discloses a method and device for determining a medullary cavity anatomical axis based on deep learning, and the method comprises the steps: carrying out the segmentation of a two-dimensional cross section image according to a preset segmentation neural network, and obtaining a bone region corresponding to a medullary cavity through segmentation; performing layer classification on the bone area according to a preset classification neural network, and separating out a medullary cavity layer; determining central points of all medullary cavity layers according to a central point calculation formula; carrying out straight line fitting on the center point, and determining the medullary cavity anatomical axis. The invention aims to provide a high-precision medullary cavity anatomical axis determination mode.

The present invention provides application of a nanofiber membrane in preparation of a rotator cuff injury treatment material, the nanofiber membrane is an electrospinning fiber membrane to promote cell growth, the nanofiber membrane optimization preferably includes cytokines, a pharmaceutical excipient and a biodegradable polymer material, the mass ratio of cytokines to pharmaceutical excipient is (0.05-0.5) : (1000-10000), and the mass ratio of cytokines to biodegradable polymer material is (0.5-0.9) : (500-10000). The present invention provides a new use of the nanofiber membrane, the nanofiber membrane is used for preparation of the rotator cuff injury treatment material, the nanofiber membrane has good biocompatibility and biodegradability, can promote cell adhesion and regeneration, accelerates the remodeling of tendon bone area, promotes the healing of the tendon bone, can effectively promote the regeneration of the injured rotator cuff, is non-toxic, non-immunogenicity, and small in side effects, and has great significance in clinic.

The invention discloses a novel maintaining implant system for a prosthesis of a cranio-maxillo facial. The novel maintaining implant system comprises an implant, a connector, a base station and an armature; wherein screw threads are arranged outside the implant, and a screw hole is formed in an upper center of the implant; a hole is formed in the center of the connector, a groove is formed in the upper part of the connector, and screw holes are formed in ear blocks on two sides of the groove; a bulge matched with the groove of the connector is arranged in the lower part of the base station, a hole is formed in the bulge, and a screw hole is formed in the upper center of the base station; the armature is of a cylindrical shape, a screw stem is arranged in the lower center, and the screw stem is matched with the screw hole in the upper part of the base station; and the connector is connected with the implant and the base station through screws, and the armature is arranged on the base station through the screw stem. The novel maintaining implant system can be obliquely planted into a bone area with an abundant bone amount in vicinity, thus the planting length of the implant can be increased, the maintenance of the implant is enabled to be more stable, and the dropping of the implant is effectively avoided; meanwhile the problem of insufficient side maintaining force due to parallelism of a magnetic attaching article of each implant for a prosthesis of an ear and a nose can be solved at the same time; and the problems of possible occurrence of inside-calvarium damage and the like caused by planting of maintaining implant of an ear prosthesis are prevented, and long-term stability of the implant is guaranteed.

The invention discloses a preparation method and application of a silk bracket, and a three-phase silk ligament graft and a preparation method thereof. Silks are woven into a net-shaped bracket with a macroporous structure; the bracket is divided into three areas: a ligament area, a cartilage area and a bone area; mesenchymal stem cells, mesenchymal stem cells carrying with TGF-beta gene lentiviral transfection and mesenchymal stem cells carrying with BMP-2 gene lentiviral transfection are respectively planted in the three areas; the net-shaped bracket modified by the divided areas is rolled to form a bionic ligament graft with a physiological transition structure. The method avoids the problem of stress concentration due to direct connection of the soft and hard tissues; the planting gene-modified mesenchymal stem cells have excellent directional differentiation features, so that the cultivating time and steps of planting a plurality of different cells are saved, and the problem of weak biological fixation of the ligament graft-bone combination part in the existing single-phase tissue engineering ligament and the problem of the traditional method incapable of enabling the cells to grow deeply are solved.

The invention is suitable for the field of image processing and provides a method for inhibiting bone shadows in a digital X ray chest radiograph. The method comprises the steps of: A, receiving an input chest radiograph, and determining a central line of each bone area in the chest radiograph; B, according to the central lines of the bone areas, carrying out bone gray section line sampling and recording coordinates of sampling points, and obtaining a bone gray section image by the sampled bone gray section lines; and C, according to the coordinates of sampling points and the bone gray section image, obtaining a bone shadow image, and then according to the chest radiograph and the bone shadow image, obtaining bone shadow inhibited image. According to the invention, an X ray dual energy subtraction device is not needed, and modeling learning using a dual energy subtraction image is not needed, the single general ray chest radiograph is processed, and bone shadow inhibition is realized for the chest radiograph; and furthermore, a smooth and curved surface fitting technology is utilized to estimate the bone shadow gray, and detailed structures in the input X ray chest radiograph can be effectively maintained.

A carpal bone region segmentation method based on shape information comprises the following steps: preprocessing X-ray images in sequence by adopting star median filtering and grayscale image binarization methods; determining the vertical coordinate position of the upper boundary of the carpal bone area by using a bidirectional iterative scanning algorithm according to the distribution characteristics of the carpal bone area; according to the wrist joint shape information, calculating gradient changes of edges on two sides of a wrist, and determining vertical coordinate positions of left and right candidate points of a lower boundary; integrating the upper boundary, the left candidate point, the right candidate point and the carpal bone area information, optimizing and correcting the coordinate position, and cutting the carpal bone area according to the obtained coordinates of the upper left corner and the lower right corner. According to the method, the carpal bone area in the wrist image is accurately segmented; when the upper boundary is determined, a bidirectional iterative scanning algorithm is adopted, so that the scanning rate is greatly improved; when the lower boundary isdetermined, the situation of the left boundary point and the right boundary point is considered at the same time, optimization selection is performed, and the influence of different palm joint positions on the positioning accuracy is weakened.

The present disclosure relates to a tool for injecting a bonding agent into the prepared end of a bone for bonding a joint replacement device to the bone. The tool incorporates vented cells for containing the bonding agent. Force is applied to the back of the tool, while placing the front of the tool filled with bonding agent against the prepared bone area. The force causes the cells to cut into the end of the prepared bone. The force also causes the bonding agent to be forced deep into the cuts and pores of the bone.

The invention discloses a method for automatically identifying a bone age image after digital processing, which comprises the steps of image collection, image preprocessing, target prediction and result reporting, and is characterized in that according to a bone development grade standard of a CHN method, 14 target bone areas of an image sample are respectively marked by using an image marking tool in the target prediction; a bone grade identification model trained through deep learning is adopted to position, segment and classify 14 target bone areas, then according to physiological data of a testee and according to a score table of bone development stages of a CHN method, bone grades of all the target bone areas are converted into different scores and accumulated, and the scores of all the target bone areas are obtained. And finally, the corresponding bone age is calculated according to the comparison table of the bone development maturing score and the bone age of the CHN method, so that the problems of long time consumption and low precision of bone age film reading are solved, and favorable support is provided for rapid evaluation of the bone age.

The invention provides an image processing method, device and equipment and a readable storage medium, and relates to the field of medical image processing, and the method comprises the steps: obtaining an initial image, and carrying out the preprocessing of the initial image, and generating new data; segmenting the initial image by adopting a first preset threshold value and a second preset threshold value to obtain a first segmentation result and a second segmentation result; performing fitting according to the first segmentation result to obtain backbone shell data; positioning a chest layer based on the backbone shell data to obtain chest data; calculating to obtain rib and sternum data according to the second segmentation result and the chest data, and generating rib and sternum mask data; positioning a spine bone area based on the backbone shell data, extracting spine bone data in the spine bone area based on the first segmentation result and the second segmentation result, and generating spine bone mask data; and removing rib and sternum mask data and spinal bone mask data from the initial image to obtain a target image, thereby solving the problem that an efficient and rapid automatic deboning method is lacked in the angiocardiographic image.

The purpose of the invention is to display bone mineral density and the measured values on which same is based in a form that is suitable for bone diagnoses. The bone mineral density-measuring device acquires bone mineral distribution data wherein the three-dimensional distribution of bone minerals is projected onto a plane based on X-rays passing through the subject. The bone mineral density-measuring device determines bone mineral content, bone area and bone mineral density based on the bone mineral distribution data and displays the determined bone mineral content, bone area and bone mineral density on a display. Bones that are subjects for diagnosis are, for example, the second, third and fourth lumbar vertebrae. On the display, an image showing the bone mineral densities (D2 - D4), bone areas (S2 - S4) and the bone mineral contents (C2 - C4) of the second - fourth lumbar vertebrae on the vertical axis and the examination times on the horizontal axis is displayed.