Abstract: The application discloses a method and system for segmenting a lung image. The method may include obtaining a target image relating to a lung region. The target image may include a plurality of image slices. The method may also include segmenting the lung region from the target image, identifying an airway structure relating to the lung region, and identifying one or more fissures in the lung region. The method may further include determining one or more pulmonary lobes in the lung region.

Abstract: The present disclosure relates to methods and systems for vascular image processing. The method may include obtaining an initial vascular image, generating a vascular fragment image by performing a vascular fragmentation operation on the initial vascular image, and generating, based on the vascular fragment image, a vascular centerline image.

Abstract: The embodiments of the present disclosure provides methods for processing a plaque implemented on at least one machine each of which has at least one processor and at least one storage device for. The method may include: obtaining a plurality of images corresponding to a target vessel; processing the plurality of images; and determining plaque information based on a processing result. The plaque information may include at least one of an identification result of a target plaque, plaque composition distribution, or a detection result of plaque stability.

Abstract: Systems and methods for image processing are provided. The systems may include obtaining an initial image relating to a blood vessel. The system may include determining a centerline of the blood vessel based on the initial image. The system may also include determining one or more images to be segmented of the blood vessel based on the centerline and the initial image. The system may also include determining a boundary of the lumen of the blood vessel and a boundary of the wall of the blood vessel in the each image for each of the one or more images. The system may further include analyzing the blood vessel based on the one or more boundaries of the lumen and the one or more boundaries of the wall.

Abstract: This application disclosures a method and system for detecting a centerline of a vessel. The method may include obtaining image data, wherein the image data may include vessel data; selecting two endpoints of the vessel based on the vessel data; transforming the image data to generate a transformed image based on at least one image transformation function; and determining a path of the centerline of the vessel connecting the first endpoint of the vessel and the second endpoint of the vessel to obtain the centerline of the vessel based on the transformed image. The two endpoints of the vessel may include a first endpoint of the vessel and a second endpoint of the vessel.

Abstract: A method for determining a centerline of a blood vessel in an image associated with a subject is provided. The method includes obtaining a centerline model used for identifying a centerline of a blood vessel and identifying the centerline of the blood vessel based on the centerline model.

Abstract: Methods and systems for determining a region of interest (ROI) in an image associated with a subject are provided. Slice information of multiple slices of an image are identified and multiple slice ranges are determined based on the slice information. Based on the slice ranges, multiple sub-images of the image are then determined. For each sub-image, a template and a corresponding probability graph are acquired, a registration result is determined by registering the sub-image with the template, and a ROI in the sub-image is identified based on the registration result. A ROI of the image can be determined by combining the ROIs of the sub-images.

Abstract: A novel Self-Locking Optoelectronic Tweezers (SLOT) for single microparticle manipulation across a large area is provided. DEP forces generated from ring-shape lateral phototransistors are utilized for locking single microparticles or cells in the dark state. The locked microparticles or cells can be selectively released by optically deactivating these locking sites.

Abstract: A method and system for extracting vasculature. The method may include obtaining an image including a part representing a vessel, and obtaining a first image by extracting bone tissue in the image. The method may also include obtaining a second image by performing a region growing operation on the image. The method may further include generating a subtraction image based on the first image and the second image. The subtraction image may include at least a portion of the part representing the vessel in the image. The method may also include obtaining at least one vessel seed group based on a first condition and the subtraction image, and determining at least one vessel threshold based on at least one boundary distance field of the subtraction image. The method may further include obtaining a target vessel image by performing, based on the vessel seed group and the at least one vessel threshold, a region growing operation on the image.

Abstract: The application discloses a method and system for segmenting a lung image. The method may include obtaining a target image relating to a lung region. The target image may include a plurality of image slices. The method may also include segmenting the lung region from the target image, identifying an airway structure relating to the lung region, and identifying one or more fissures in the lung region. The method may further include determining one or more pulmonary lobes in the lung region.

Abstract: The present disclosure relates to systems and methods for extracting a vessel of a lower limb. The methods may include obtaining an original image including a plurality of image data, in some embodiments, each of the plurality of image data may correspond to a pixel (or a voxel), the plurality of image data may include a target data set, the target data set may represent a first structure; extracting a first reference data set from the plurality of image data, in some embodiments, the first reference data set may include the target data set and a second reference data set, the second reference data set may include data of a second structure; extracting the second reference data set from the plurality of image data; and obtaining the target data set based on the first reference data set and the second reference data set.

Abstract: The application discloses a method and system for segmenting a lung image. The method may include obtaining a target image relating to a lung region. The target image may include a plurality of image slices. The method may also include segmenting the lung region from the target image, identifying an airway structure relating to the lung region, and identifying one or more fissures in the lung region. The method may further include determining one or more pulmonary lobes in the lung region.

Abstract: The present disclosure relates to systems and methods for extracting a vessel of a lower limb. The methods may include obtaining an original image including a plurality of image data, in some embodiments, each of the plurality of image data may correspond to a pixel (or a voxel), the plurality of image data may include a target data set, the target data set may represent a first structure; extracting a first reference data set from the plurality of image data, in some embodiments, the first reference data set may include the target data set and a second reference data set, the second reference data set may include data of a second structure; extracting the second reference data set from the plurality of image data; and obtaining the target data set based on the first reference data set and the second reference data set.

Abstract: A novel Self-Locking Optoelectronic Tweezers (SLOT) for single microparticle manipulation across a large area is provided. DEP forces generated from ring-shape lateral phototransistors are utilized for locking single microparticles or cells in the dark state. The locked microparticles or cells can be selectively released by optically deactivating these locking sites.

Abstract: A system and method for image segmentation are provided. A three-dimensional image data set representative of a region including at least one airway may be acquired. The data set may include a plurality of voxels. A first-level seed within the region may be identified. A first-level airway within the region may be identified based on the first-level seed. A second-level airway may be identified within the region based on the first-level airway. The first-level airway and the second-level airway may be fused to form an airway tree.

Abstract: A method for extracting a blood vessel may include acquiring an image relating to a blood vessel, the image including multiple slices; determining a region of interest in the image; establishing a blood vessel model; and extracting the blood vessel from the region of interest based on the blood vessel model.

Abstract: A novel Self-Locking Optoelectronic Tweezers (SLOT) for single microparticle manipulation across a large area is provided. DEP forces generated from ring-shape lateral phototransistors are utilized for locking single microparticles or cells in the dark state. The locked microparticles or cells can be selectively released by optically deactivating these locking sites.

Abstract: A system and method for image segmentation are provided. A three-dimensional image data set representative of a region including at least one airway may be acquired. The data set may include a plurality of voxels. A first-level seed within the region may be identified. A first-level airway within the region may be identified based on the first-level seed. A second-level airway may be identified within the region based on the first-level airway. The first-level airway and the second-level airway may be fused to form an airway tree.

Abstract: A method for extracting a blood vessel is provided. An image relating to a blood vessel may be acquired. The image may include multiple slices. A region of interest in the image may be determined. A blood vessel model may be obtained. The blood vessel may be extracted from the region of interest based on the blood vessel model.

Abstract: A method and system for extracting vasculature. The method may include obtaining an image including a part representing a vessel, and obtaining a first image by extracting bone tissue in the image. The method may also include obtaining a second image by performing a region growing operation on the image. The method may further include generating a subtraction image based on the first image and the second image. The subtraction image may include at least a portion of the part representing the vessel in the image. The method may also include obtaining at least one vessel seed group based on a first condition and the subtraction image, and determining at least one vessel threshold based on at least one boundary distance field of the subtraction image. The method may further include obtaining a target vessel image by performing, based on the vessel seed group and the at least one vessel threshold, a region growing operation on the image.