[go: up one dir, main page]

Huang et al., 2012 - Google Patents

Automatic tumour delineation in whole body PET/CT images

Huang et al., 2012

Document ID
1810424207203076775
Author
Huang X
Zhu Y
Li H
Guan H
Potesil V
Song Y
Kubota T
Zhou X
Publication year
Publication venue
International Journal of Biomedical Engineering and Technology

External Links

Snippet

We propose a new method for automated delineation of tumour boundaries by using joint information from whole-body PET and diagnostic CT images. Due to varying levels of FDG uptake in different organs, we apply locally adaptive thresholds of SUV to acquire an initial …
Continue reading at www.inderscienceonline.com (other versions)

Classifications

    • 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
    • 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
    • G06T2207/10Image 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
    • G06T2207/10072Tomographic images
    • G06T2207/10084Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
    • 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
    • G06T2207/20Special 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
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10116X-ray image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • 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

Similar Documents

Publication Publication Date Title
Moghbel et al. Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography
Jemaa et al. Tumor segmentation and feature extraction from whole-body FDG-PET/CT using cascaded 2D and 3D convolutional neural networks
Fatima et al. State-of-the-art traditional to the machine-and deep-learning-based skull stripping techniques, models, and algorithms
Bi et al. Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies
Ju et al. Random walk and graph cut for co-segmentation of lung tumor on PET-CT images
Zaidi et al. PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques
US8588495B2 (en) Systems and methods for computer aided diagnosis and decision support in whole-body imaging
Egger et al. Pituitary adenoma volumetry with 3D Slicer
WO2021030629A1 (en) Three dimensional object segmentation of medical images localized with object detection
US7876938B2 (en) System and method for whole body landmark detection, segmentation and change quantification in digital images
Yang et al. A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy
Comelli et al. K-nearest neighbor driving active contours to delineate biological tumor volumes
Mi et al. Prediction of lung tumor evolution during radiotherapy in individual patients with PET
Guan et al. Automatic hot spot detection and segmentation in whole body FDG-PET images
Zhuang et al. Generic and robust method for automatic segmentation of PET images using an active contour model
Bi et al. Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography
Chen et al. Combining registration and active shape models for the automatic segmentation of the lymph node regions in head and neck CT images
Potesil et al. Automated tumor delineation using joint PET/CT information
Debats et al. Automated 3‐dimensional segmentation of pelvic lymph nodes in magnetic resonance images
Al-Saeed et al. Efficient Computer Aided Diagnosis System for Hepatic Tumors Using Computed Tomography Scans.
US20080285822A1 (en) Automated Stool Removal Method For Medical Imaging
Firjani et al. A new 3D automatic segmentation framework for accurate extraction of prostate from diffusion imaging
Liu et al. Unsupervised 3D Prostate Segmentation Based on Diffusion‐Weighted Imaging MRI Using Active Contour Models with a Shape Prior
Nouranian et al. An automatic multi-atlas segmentation of the prostate in transrectal ultrasound images using pairwise atlas shape similarity
Wu et al. Automatic segmentation of ultrasound tomography image