[go: up one dir, main page]

Mesanovic et al., 2011 - Google Patents

Automatic CT image segmentation of the lungs with region growing algorithm

Mesanovic et al., 2011

View PDF
Document ID
6999142236051605389
Author
Mesanovic N
Grgic M
Huseinagic H
Males M
Skejic E
Smajlovic M
Publication year
Publication venue
18th international conference on systems, signals and image processing-IWSSIP

External Links

Snippet

Computer aided diagnosis of lung CT image has been a revolutionary step in the early diagnosing of lung diseases. The best method of implementing computer aided diagnosis for medical image analysis is first to preprocess the image in order to segment it. The first …
Continue reading at www.vcl.fer.hr (PDF) (other versions)

Classifications

    • 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
    • G06T2207/30061—Lung
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • 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
    • G06T2207/10084—Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
    • 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
    • G06T2207/20092—Interactive image processing based on input by user
    • G06T2207/20101—Interactive definition of point of interest, landmark or seed
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • 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
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0031—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
    • G06T3/0037—Reshaping or unfolding a 3D tree structure onto a 2D plane
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation

Similar Documents

Publication Publication Date Title
Mesanovic et al. Automatic CT image segmentation of the lungs with region growing algorithm
US7058210B2 (en) Method and system for lung disease detection
US8335359B2 (en) Systems, apparatus and processes for automated medical image segmentation
Giger et al. Computer-aided diagnosis
US7653263B2 (en) Method and system for volumetric comparative image analysis and diagnosis
Reeves et al. Computer-aided diagnosis for lung cancer
US8059900B2 (en) Method and apparatus to facilitate visualization and detection of anatomical shapes using post-processing of 3D shape filtering
Abd-Elaziz et al. Liver tumors segmentation from abdominal CT images using region growing and morphological processing
Pulagam et al. Automated lung segmentation from HRCT scans with diffuse parenchymal lung diseases
US20080298657A1 (en) Computer-Aided Method for Detection of Interval Changes in Successive Whole-Body Bone Scans and Related Computer Program Program Product and System
US20030099390A1 (en) Lung field segmentation from CT thoracic images
Azhari et al. Tumor detection in medical imaging: a survey
WO2007044508A2 (en) System and method for whole body landmark detection, segmentation and change quantification in digital images
Duarte et al. Evaluating geodesic active contours in microcalcifications segmentation on mammograms
WO2009035672A1 (en) Robust segmentation of breast and muscle in mri
US20070003118A1 (en) Method and system for projective comparative image analysis and diagnosis
Kaur et al. Computer-aided diagnosis of renal lesions in CT images: a comprehensive survey and future prospects
US20070014448A1 (en) Method and system for lateral comparative image analysis and diagnosis
Jaffar et al. Fuzzy entropy based optimization of clusters for the segmentation of lungs in CT scanned images
Gautam et al. A hybrid approach for the delineation of brain lesion from CT images
Ukil et al. Smoothing lung segmentation surfaces in three-dimensional x-ray ct images using anatomic guidance1
Tan et al. Chest wall segmentation in automated 3D breast ultrasound scans
US20050002548A1 (en) Automatic detection of growing nodules
Jamil et al. Adaptive thresholding technique for segmentation and juxtapleural nodules inclusion in lung segments
Mancas et al. Fuzzy tumor segmentation based on iterative watersheds