[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Resmi et al., 2013 - Google Patents

A novel automatic method for extraction of glioma tumour, white matter and grey matter from brain magnetic resonance images

Resmi et al., 2013

View PDF
Document ID
14273845909089216145
Author
Resmi A
Thomas T
Thomas B
Publication year
Publication venue
Biomed Imaging Interv J 2013; 9 (2): e21

External Links

Snippet

Purpose: Segmentation of pathological tissues from conventional brain MRI is a difficult and time-consuming task because of the complex structure of the brain. This paper presents a novel algorithm for automatic extraction and validation of low-grade (astroctyoma) and high …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10104—Positron emission tomography [PET]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20092—Interactive image processing based on input by user
    • G06T2207/20104—Interactive definition of region of interest [ROI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20156—Automatic seed setting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20116—Active contour; Active surface; Snakes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10116—X-ray image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20224—Image subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image

Similar Documents

Publication Publication Date Title
Kermi et al. Fully automated brain tumour segmentation system in 3D‐MRI using symmetry analysis of brain and level sets
Al-Najdawi et al. Mammogram image visual enhancement, mass segmentation and classification
Mortazavi et al. Segmentation of multiple sclerosis lesions in MR images: a review
Subudhi et al. Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images
Fletcher-Heath et al. Automatic segmentation of non-enhancing brain tumors in magnetic resonance images
Ahirwar Study of techniques used for medical image segmentation and computation of statistical test for region classification of brain MRI
Foruzan et al. Improved segmentation of low-contrast lesions using sigmoid edge model
Dubey et al. Evaluation of three methods for MRI brain tumor segmentation
Gupta et al. A non-invasive and adaptive CAD system to detect brain tumor from T2-weighted MRIs using customized Otsu’s thresholding with prominent features and supervised learning
Abd-Elaziz et al. Liver tumors segmentation from abdominal CT images using region growing and morphological processing
Göçeri et al. Fully automated liver segmentation from SPIR image series
Thapaliya et al. Extraction of brain tumor based on morphological operations
SG176860A1 (en) A method and system for segmenting a brain image
Kaur An automatic brain tumor extraction system using different segmentation methods
Ananda et al. Automatic segmentation framework for primary tumors from brain MRIs using morphological filtering techniques
Sharma et al. Automatic segmentation of brain ct scan image to identify hemorrhages
Garg et al. Spinal cord MRI segmentation techniques and algorithms: A survey
Sran et al. Integrating saliency with fuzzy thresholding for brain tumor extraction in MR images
Li et al. Automated segmentation of prostate MR images using prior knowledge enhanced random walker
Chen et al. Brain magnetic resonance image segmentation based on an adapted non-local fuzzy c-means method
Resmi et al. A novel automatic method for extraction of glioma tumour, white matter and grey matter from brain magnetic resonance images
Prakash et al. Identification, segmentation, and image property study of acute infarcts in diffusion-weighted images by using a probabilistic neural network and adaptive Gaussian mixture model
Goceri et al. Computer-based segmentation, change detection and quantification for lesions in multiple sclerosis
Abbas et al. Skin lesion border detection based on optimal statistical model using optimized colour channel
Kayalvizhi et al. Analysis of ventricle regions in Alzheimer’s brain MR images using level set based methods