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Oda et al., 2011 - Google Patents

Organ segmentation from 3D abdominal CT images based on atlas selection and graph cut

Oda et al., 2011

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Document ID
9005702783050809320
Author
Oda M
Nakaoka T
Kitasaka T
Furukawa K
Misawa K
Fujiwara M
Mori K
Publication year
Publication venue
International MICCAI Workshop on Computational and Clinical Challenges in Abdominal Imaging

External Links

Snippet

This paper presents a method for segmenting abdominal organs from 3D abdominal CT images based on atlas selection and graph cut. The training samples are divided into multiple clusters based on the image similarity. The average image and atlas for each …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
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    • G06T2207/00Indexing scheme for image analysis or image enhancement
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    • G06T2207/10104Positron emission tomography [PET]
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    • G06T2207/30004Biomedical image processing
    • G06T2207/30048Heart; Cardiac
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    • 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
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    • G06T2207/20112Image segmentation details
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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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