MR to ultrasound registration for image-guided prostate interventions

Medical Image Analysis

Volumn 16, Issue 3, 2012, Pages 687-703

  Hu, Yipeng ^a   Ahmed, Hashim Uddin ^a   Taylor, Zeike ^a   Allen, Clare ^b   Emberton, Mark ^a   Hawkes, David ^a   Barratt, Dean ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON HOSPITALS   (United Kingdom)

Author keywords

Biomechanical modelling; Image registration; Minimum invasive interventions; Prostate cancer; Statistical shape modelling

Indexed keywords

ANATOMICAL LANDMARKS; AUTOMATIC ALIGNMENT; BIOMECHANICAL MODELLING; BIOMECHANICAL SIMULATION; DEFORMABLE MODELS; DEFORMABLE REGISTRATION; DISPLACEMENT FIELD; FINITE ELEMENT MESHES; IMAGE-GUIDED; MINIMUM-INVASIVE INTERVENTIONS; MR IMAGES; PROSTATE CANCERS; PROSTATE GLANDS; RANDOM PLACEMENT; REGISTRATION ACCURACY; STATISTICAL MODELS; STATISTICAL SHAPE MODELLING; SURFACE MODELS; SURFACE NORMALS; TARGET REGISTRATION ERRORS; TRANSRECTAL ULTRASOUND IMAGES; TRUS IMAGES;

BIOMECHANICS; DEFORMATION; IMAGE REGISTRATION; MAGNETIC RESONANCE; UROLOGY;

THREE DIMENSIONAL;

ARTICLE; AUTOMATION; BIOMECHANICS; CANCER PATIENT; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FINITE ELEMENT ANALYSIS; HUMAN; MALE; MAXIMUM LIKELIHOOD METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROSTATE CANCER; QUANTITATIVE DIAGNOSIS; RANDOMIZED CONTROLLED TRIAL; SIMULATION; STATISTICAL MODEL; TRANSRECTAL ULTRASONOGRAPHY; VOXEL BASED MORPHOMETRY;

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; PROSTATECTOMY; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; SURGERY, COMPUTER-ASSISTED; ULTRASONOGRAPHY;

EID: 84858080901     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2010.11.003     Document Type: Article

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