Literature DB >> 25333159

Towards automatic plan selection for radiotherapy of cervical cancer by fast automatic segmentation of cone beam CT scans.

Thomas Langerak, Sabrina Heijkoop, Sandra Quint, Jan-Willem Mens, Ben Heijmen, Mischa Hoogeman.   

Abstract

We propose a method to automatically select a treatment plan for radiotherapy of cervical cancer using a Plan-of-the-Day procedure, in which multiple treatment plans are constructed prior to treatment. The method comprises a multi-atlas based segmentation algorithm that uses the selected treatment plan to choose between two atlas sets. This segmentation only requires two registration procedures and can therefore be used in clinical practice without using excessive computation time. Our method is validated on a dataset of 224 treatment fractions for 10 patients. In 37 cases (16%), no recommendation was made by the algorithm due to poor image quality or registration results. In 93% of the remaining cases a correct recommendation for a treatment plan was given.

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Year:  2014        PMID: 25333159     DOI: 10.1007/978-3-319-10404-1_66

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  1 in total

1.  The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer.

Authors:  Sarah A Mason; Ingrid M White; Susan Lalondrelle; Jeffrey C Bamber; Emma J Harris
Journal:  Ultrasound Med Biol       Date:  2020-01-08       Impact factor: 2.998

  1 in total

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