%A Delpon,Grégory %A Escande,Alexandre %A Ruef,Timothée %A Darréon,Julien %A Fontaine,Jimmy %A Noblet,Caroline %A Supiot,Stéphane %A Lacornerie,Thomas %A Pasquier,David %D 2016 %J Frontiers in Oncology %C %F %G English %K Postoperative radiotherapy,prostate bed,Atlas,automatic segmentation,contour comparison %Q %R 10.3389/fonc.2016.00178 %W %L %M %P %7 %8 2016-August-03 %9 Original Research %+ Grégory Delpon,Medical Physics Department, Institut de Cancérologie de l’Ouest, Centre René Gauducheau,France,gregory.delpon@ico.unicancer.fr %# %! Postoperative prostate automatic segmentation %* %< %T Comparison of Automated Atlas-Based Segmentation Software for Postoperative Prostate Cancer Radiotherapy %U https://www.frontiersin.org/articles/10.3389/fonc.2016.00178 %V 6 %0 JOURNAL ARTICLE %@ 2234-943X %X Automated atlas-based segmentation (ABS) algorithms present the potential to reduce the variability in volume delineation. Several vendors offer software that are mainly used for cranial, head and neck, and prostate cases. The present study will compare the contours produced by a radiation oncologist to the contours computed by different automated ABS algorithms for prostate bed cases, including femoral heads, bladder, and rectum. Contour comparison was evaluated by different metrics such as volume ratio, Dice coefficient, and Hausdorff distance. Results depended on the volume of interest showed some discrepancies between the different software. Automatic contours could be a good starting point for the delineation of organs since efficient editing tools are provided by different vendors. It should become an important help in the next few years for organ at risk delineation.