Auto localization and segmentation of occluded vessels in robot-assisted partial nephrectomy.
Med Image Comput Comput Assist Interv
; 17(Pt 1): 407-14, 2014.
Article
en En
| MEDLINE
| ID: mdl-25333144
ABSTRACT
Hilar dissection is an important and delicate stage in partial nephrectomy during which surgeons remove connective tissue surrounding renal vasculature. Potentially serious complications arise when vessels occluded by fat are missed in the endoscopic view and are not appropriately clamped. To aid in vessel discovery, we propose an automatic method to localize and label occluded vasculature. Our segmentation technique is adapted from phase-based video magnification, in which we measure subtle motion from periodic changes in local phase information albeit for labeling rather than magnification. We measure local phase through spatial decomposition of each frame of the endoscopic video using complex wavelet pairs. We then assign segmentation labels based on identifying responses of regions exhibiting temporal local phase changes matching the heart rate frequency. Our method is evaluated with a retrospective study of eight real robot-assisted partial nephrectomies demonstrating utility for surgical guidance that could potentially reduce operation times and complication rates.
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Bases de datos:
MEDLINE
Asunto principal:
Obstrucción de la Arteria Renal
/
Robótica
/
Reconocimiento de Normas Patrones Automatizadas
/
Cirugía Asistida por Computador
/
Endoscopía
/
Nefrectomía
Tipo de estudio:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Med Image Comput Comput Assist Interv
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
/
INFORMATICA MEDICA
Año:
2014
Tipo del documento:
Article