[go: up one dir, main page]

Dai et al., 2013 - Google Patents

Segmentation of kidneys from computed tomography using 3D fast growcut algorithm

Dai et al., 2013

View PDF
Document ID
11983734264707280642
Author
Dai G
Li Z
Gu J
Wang L
Li X
Xie Y
Publication year
Publication venue
Applied Mechanics and Materials

External Links

Snippet

This paper proposes a fast GrowCut (FGC) algorithm and applies the new algorithm in three- dimensional (3D) kidney segmentation from computed tomography (CT) volume data. Users could mark the object of interest with different labels in CT slices. FGC propagates the labels …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20156Automatic seed setting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30048Heart; Cardiac
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20092Interactive image processing based on input by user
    • G06T2207/20101Interactive definition of point of interest, landmark or seed
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20092Interactive image processing based on input by user
    • G06T2207/20104Interactive definition of region of interest [ROI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10104Positron emission tomography [PET]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00Indexing scheme for image data processing or generation, in general
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image

Similar Documents

Publication Publication Date Title
US12223655B2 (en) Applications of automatic anatomy recognition in medical tomographic imagery based on fuzzy anatomy models
US12249062B2 (en) Techniques for segmentation of lymph nodes, lung lesions and other solid or part-solid objects
CN106102585B (en) Three-dimensional imaging data display and processing method and three-dimensional ultrasound imaging method and system
US7876938B2 (en) System and method for whole body landmark detection, segmentation and change quantification in digital images
Wen et al. A novel statistical cerebrovascular segmentation algorithm with particle swarm optimization
Mei et al. Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention
Ciurte et al. Semi-supervised segmentation of ultrasound images based on patch representation and continuous min cut
Egger PCG-cut: graph driven segmentation of the prostate central gland
CN102920477A (en) Apparatus and method for determining boundary of target area in medical imaging
Alba et al. Automatic cardiac LV segmentation in MRI using modified graph cuts with smoothness and interslice constraints
Irving et al. Deep quantitative liver segmentation and vessel exclusion to assist in liver assessment
Ballester et al. Segmentation and measurement of brain structures in MRI including confidence bounds
Banday et al. Statistical textural feature and deformable model based brain tumor segmentation and volume estimation
Li et al. Augmenting atlas-based liver segmentation for radiotherapy treatment planning by incorporating image features proximal to the atlas contours
Cui et al. Topology polymorphism graph for lung tumor segmentation in PET-CT images
Lebre et al. A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities
Dai et al. Segmentation of kidneys from computed tomography using 3D fast growcut algorithm
Dong et al. An improved supervoxel 3D region growing method based on PET/CT multimodal data for segmentation and reconstruction of GGNs
Hameeteman et al. Carotid wall volume quantification from magnetic resonance images using deformable model fitting and learning-based correction of systematic errors
Chen et al. Snake model-based lymphoma segmentation for sequential CT images
Ben-Zikri et al. A feature-based affine registration method for capturing background lung tissue deformation for ground glass nodule tracking
Liu et al. Unsupervised 3D Prostate Segmentation Based on Diffusion‐Weighted Imaging MRI Using Active Contour Models with a Shape Prior
Bergo et al. Fast and robust mid-sagittal plane location in 3D MR images of the brain
Huang et al. Three‐dimensional region‐based segmentation for breast tumors on sonography
del Toro et al. Multi atlas-based segmentation with data driven refinement