iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry

• URL: http://arxiv.org/abs/2008.08730v1
• Date: Thu, 20 Aug 2020 01:50:49 GMT
• Title: iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry
• Authors: Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi Wang, Joseph Y. Lo, Xiaobai Sun, William P. Segars, Ehsan Samei
• Abstract summary: This study aims to develop and validate a novel framework, iPhantom, for automated creation of patient-specific phantoms or digital-twins. The framework is applied to assess radiation dose to radiosensitive organs in CT imaging of individual patients. iPhantom precisely predicted all organ locations with good accuracy of Dice Similarity Coefficients (DSC) >0.6 for anchor organs and DSC of 0.3-0.9 for all other organs.
• Score: 58.943644554192936
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Objective: This study aims to develop and validate a novel framework, iPhantom, for automated creation of patient-specific phantoms or digital-twins (DT) using patient medical images. The framework is applied to assess radiation dose to radiosensitive organs in CT imaging of individual patients. Method: From patient CT images, iPhantom segments selected anchor organs (e.g. liver, bones, pancreas) using a learning-based model developed for multi-organ CT segmentation. Organs challenging to segment (e.g. intestines) are incorporated from a matched phantom template, using a diffeomorphic registration model developed for multi-organ phantom-voxels. The resulting full-patient phantoms are used to assess organ doses during routine CT exams. Result: iPhantom was validated on both the XCAT (n=50) and an independent clinical (n=10) dataset with similar accuracy. iPhantom precisely predicted all organ locations with good accuracy of Dice Similarity Coefficients (DSC) >0.6 for anchor organs and DSC of 0.3-0.9 for all other organs. iPhantom showed less than 10% dose errors for the majority of organs, which was notably superior to the state-of-the-art baseline method (20-35% dose errors). Conclusion: iPhantom enables automated and accurate creation of patient-specific phantoms and, for the first time, provides sufficient and automated patient-specific dose estimates for CT dosimetry. Significance: The new framework brings the creation and application of CHPs to the level of individual CHPs through automation, achieving a wider and precise organ localization, paving the way for clinical monitoring, and personalized optimization, and large-scale research.

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