Head and neck target delineation using a novel PET automatic segmentation algorithm
B Berthon, M Evans, C Marshall, N Palaniappan… - Radiotherapy and …, 2017 - Elsevier
Purpose To evaluate the feasibility and impact of using a novel advanced PET auto-
segmentation method in Head and Neck (H&N) radiotherapy treatment (RT) planning.
Methods ATLAAS, Automatic decision Tree-based Learning Algorithm for Advanced
Segmentation, previously developed and validated on pre-clinical data, was applied to 18 F-
FDG-PET/CT scans of 20 H&N patients undergoing Intensity Modulated Radiation Therapy.
Primary Gross Tumour Volumes (GTVs) manually delineated on CT/MRI scans (GTVp …
segmentation method in Head and Neck (H&N) radiotherapy treatment (RT) planning.
Methods ATLAAS, Automatic decision Tree-based Learning Algorithm for Advanced
Segmentation, previously developed and validated on pre-clinical data, was applied to 18 F-
FDG-PET/CT scans of 20 H&N patients undergoing Intensity Modulated Radiation Therapy.
Primary Gross Tumour Volumes (GTVs) manually delineated on CT/MRI scans (GTVp …
以上显示的是最相近的搜索结果。 查看全部搜索结果