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Head and neck lymph node region delineation with image registration

BACKGROUND: The success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can compute a contour set defining a target volume on a set of patient images will contribute greatly to the succe...

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Detalles Bibliográficos
Autores principales: Teng, Chia-Chi, Shapiro, Linda G, Kalet, Ira J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2902481/
https://www.ncbi.nlm.nih.gov/pubmed/20569461
http://dx.doi.org/10.1186/1475-925X-9-30
Descripción
Sumario:BACKGROUND: The success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can compute a contour set defining a target volume on a set of patient images will contribute greatly to the success of radiation therapy and dramatically reduce the workload of radiation oncologists, who currently draw the target by hand on the images using simple computer drawing tools. The most challenging part of this process is to estimate where there is microscopic spread of disease. METHODS: Given a set of reference CT images with "gold standard" lymph node regions drawn by the experts, we are proposing an image registration based method that could automatically contour the cervical lymph code levels for patients receiving radiation therapy. We are also proposing a method that could help us identify the reference models which could potentially produce the best results. RESULTS: The computer generated lymph node regions are evaluated quantitatively and qualitatively. CONCLUSIONS: Although not conforming to clinical criteria, the results suggest the technique has promise.