Analyzing human decisions in IGRT of head-and-neck cancer patients to teach image registration algorithms what experts know
2017
Background
In IGRT of deformable head-and-neck anatomy, patient setup corrections are derived by rigid registration methods. In practice, experienced radiation therapists often correct the resulting vectors, thus indicating a different prioritization of alignment of local structures. Purpose of this study is to transfer the knowledge experts apply when correcting the automatically generated result (pre-match) to automated registration.
Keywords:
- Correction
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