Accurate and rapid CT image segmentation of the eyes and surrounding organs for precise radiotherapy

Medical Physics
Yao SunKehong Yuan

Abstract

The precise segmentation of organs at risk (OARs) is of importance for improving therapeutic outcomes and reducing injuries of patients undergoing radiotherapy. In this study, we developed a new approach for accurate computed tomography (CT) image segmentation of the eyes and surrounding organs, which is first locating then segmentation (FLTS). The FLTS approach was composed of two steps: (a) classification of CT images using convolutional neural networks (CNN), and (b) segmentation of the eyes and surrounding organs using modified U-shape networks. In order to obtain optimal performance, we enhanced our training datasets by random jitter and rotation. This model was trained and verified using the clinical datasets that were delineated by experienced physicians. The dice similarity coefficient (DSC) was employed to evaluate the performance of our segmentation method. The average DSCs for the segmentation of the pituitary, left eye, right eye, left eye lens, right eye lens, left optic nerve, and right optic nerve were 90%, 94%, 93.5%, 84.5%, 84.3%, 80.3%, and 82.2%, respectively. We developed a new network-based approach for rapid and accurate CT image segmentation of the eyes and surrounding organs. This method is accurate and ...Continue Reading

References

Jan 5, 2005·International Journal of Radiation Oncology, Biology, Physics·Pierre-Yves BondiauNicholas Ayache
Feb 19, 2008·Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology·Olivier CommowickGrégoire Malandain
Mar 10, 2016·IEEE Transactions on Medical Imaging·Sergio PereiraCarlos A Silva
Oct 6, 2018·Journal of Statistical Software·Richard BeareZiv Yaniv
Mar 8, 2019·IEEE Transactions on Medical Imaging·Zaiwang GuJiang Liu

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Citations

Nov 2, 2019·Open Medicine·Sorayouth ChumnanvejJackrit Suthakorn
Jan 9, 2021·PloS One·Mohamed Abd ElazizAhmed A Ewees
Jul 28, 2021·Journal of Medical Imaging and Radiation Oncology·Gihan SamarasingheLois Holloway

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