Statistical Region-Based Segmentation of Ultrasound Images

Ultrasound in Medicine and Biology

Volumn 35, Issue 5, 2009, Pages 781-795

  Slabaugh, Greg ^a   Unal, Gozde ^b   Wels, Micheal ^c   Fang, Tong ^d   Rao, Bimba ^e  

^a Research and Development Department   (United Kingdom)

^b SABANCI UNIVERSITY   (Turkey)

^c UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^d SIEMENS CORPORATE RESEARCH   (United States)

^e Ultrasound Division   (United States)

Author keywords

Fisher Tippett distribution; Speckle decorrelation; Ultrasound image segmentation; Variational and level set methods; Zero mean complex Gaussian flow

Indexed keywords

FISHER-TIPPETT DISTRIBUTION; SPECKLE DECORRELATION; ULTRASOUND IMAGE SEGMENTATION; VARIATIONAL AND LEVEL SET METHODS; ZERO-MEAN COMPLEX GAUSSIAN FLOW;

ACOUSTIC WAVES; DIGITAL IMAGE STORAGE; DROP BREAKUP; IMAGE SEGMENTATION; LEVEL MEASUREMENT; MAXIMUM LIKELIHOOD; SIGNAL TO NOISE RATIO; SPECKLE; STRUCTURAL ANALYSIS; ULTRASONIC TRANSMISSION; ULTRASONICS;

ULTRASONIC IMAGING;

ARTICLE; CONTROLLED STUDY; IMAGE ANALYSIS; MAXIMUM LIKELIHOOD METHOD; NORMAL DISTRIBUTION; PARAMETRIC TEST; PRIORITY JOURNAL; STATISTICAL ANALYSIS; ULTRASOUND;

ALGORITHMS; CAROTID ARTERIES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, STATISTICAL; ULTRASONOGRAPHY;

EID: 67349167053     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2008.10.014     Document Type: Article

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