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A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy

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posted on 2024-11-15, 05:12 authored by Nicholas Hardcastle, Wolfgang Tome, Donald M Cannon, Charlotte L Brouwer, Paul W H Wittendorp, Nesrin Dogan, Matthias Guckenberger, Stephane Allaire, Yogish Mallya, Prashant Kumar, Markus Oechsner, Anne Richter, Shiyu Song, Michael Myers, Bulent Polat, Karl Bzdusek
Background: Adaptive Radiotherapy aims to identify anatomical deviations during a radiotherapy course and modify the treatment plan to maintain treatment objectives. This requires regions of interest (ROIs) to be defined using the most recent imaging data. This study investigates the clinical utility of using deformable image registration (DIR) to automatically propagate ROIs.

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Citation

Hardcastle, N., Tome, W. A., Cannon, D. M., Brouwer, C. L., Wittendorp, P. W. H., Dogan, N., Guckenberger, M., Allaire, S., Mallya, Y., Kumar, P., Oechsner, M., Richter, A., Song, S., Myers, M., Polat, B. & Bzdusek, K. (2012). A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy. Radiation Oncology, 7 (1), 90-96.

Journal title

Radiation Oncology

Volume

7

Issue

1

Pagination

90-96

Language

English

RIS ID

65694

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