Automated segmentation of transcranial sonographic images in the diagnostics of Parkinson's disease

Ultrasonics

Volumn 53, Issue 1, 2013, Pages 111-121

  Sakalauskas, Andrius ^a   Lukoševičius, Arunas ^a   Laučkaite, Kristina ^b   Jegelevičius, Darius ^a   Rutkauskas, Saulius ^b  

^a KAUNAS UNIVERSITY OF TECHNOLOGY   (Lithuania)

^b LITHUANIAN UNIVERSITY OF HEALTH SCIENCES   (Lithuania)

Author keywords

Active contours; Averaging frames; Image segmentation; Speckle noise; Transcranial sonography

Indexed keywords

ACTIVE CONTOURS; AUTOMATED METHODS; AUTOMATED SEGMENTATION; AVERAGING FRAMES; BRAIN STRUCTURE; GOLD STANDARDS; INTRA-OBSERVER VARIABILITY; LOW RESOLUTION; MANUAL SEGMENTATION; MIDBRAIN; PARKINSON DISEASE; PARKINSON'S DISEASE; PRE-PROCESSING; SEGMENTATION ALGORITHMS; SHAPE BASED; SONOGRAPHIC IMAGES; SPECKLE NOISE; SUBSTANTIA NIGRA; TRANSCRANIAL; TRANSCRANIAL SONOGRAPHY;

AUTOMATION; DISEASES; SPECKLE; ULTRASONOGRAPHY;

IMAGE SEGMENTATION;

ADULT; AGED; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DOPPLER ECHOGRAPHY; ECHOGRAPHY; FEMALE; HUMAN; MALE; MESENCEPHALON; METHODOLOGY; MIDDLE AGED; PARKINSON DISEASE; SUBSTANTIA NIGRA;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MESENCEPHALON; MIDDLE AGED; PARKINSON DISEASE; PATTERN RECOGNITION, AUTOMATED; SUBSTANTIA NIGRA; ULTRASONOGRAPHY, DOPPLER, TRANSCRANIAL;

EID: 84869111457     PISSN: 0041624X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ultras.2012.04.005     Document Type: Article

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