Validation of catheter segmentation for MR-guided gynecologic cancer brachytherapy

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8151 LNCS, Issue PART 3, 2013, Pages 380-387

  Pernelle, Guillaume ^a,b   Mehrtash, Alireza ^b   Barber, Lauren ^b   Damato, Antonio ^c   Wang, Wei ^c   Seethamraju, Ravi Teja ^c   Schmidt, Ehud ^b   Cormack, Robert A ^b   Wells, Williams ^b   Viswanathan, Akila ^b   Kapur, Tina ^b  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c Siemens Healthcare ^*  (United States)

Author keywords

catheter; MRI; segmentation; validation

Indexed keywords

AUTOMATIC SEGMENTATIONS; CATHETER SEGMENTATION; CLINICAL PRACTICES; INTERSTITIAL BRACHYTHERAPY; MANUAL SEGMENTATION; SEGMENTATION METHODS; TREATMENT PLANNING; VALIDATION; GYNECOLOGIC CANCER; PHANTOM EXPERIMENT;

CATHETERS; COMPUTERIZED TOMOGRAPHY; GYNECOLOGY; MAGNETIC RESONANCE IMAGING; ONCOLOGY; RADIOTHERAPY; DISEASES; MEDICAL COMPUTING; MEDICAL IMAGING;

IMAGE SEGMENTATION;

ARTICLE; ARTIFACT; AUTOMATED PATTERN RECOGNITION; BRACHYTHERAPY; EQUIPMENT; FEMALE; HUMAN; INDWELLING CATHETER; INTERVENTIONAL MAGNETIC RESONANCE IMAGING; METHODOLOGY; PATHOLOGY; PROSTHESES AND ORTHOSES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; UTERINE CERVIX TUMOR;

ARTIFACTS; BRACHYTHERAPY; CATHETERS, INDWELLING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING, INTERVENTIONAL; PATTERN RECOGNITION, AUTOMATED; PROSTHESES AND IMPLANTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; UTERINE CERVICAL NEOPLASMS;

EID: 84894617167     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40760-4_48     Document Type: Conference Paper

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