Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Walter J. Curran"'
Autor:
Yang Lei, Sibo Tian, Tian Liu, Yabo Fu, Walter J. Curran, Tonghe Wang, Xiaofeng Yang, Ashesh B. Jani, Pretesh Patel
Publikováno v:
Medical Imaging 2021: Image Processing.
Adaptive radiotherapy which relies on patient Cone-Beam CT (CBCT) imaged right before dose delivery to update the contouring and treatment plans has the potential to increase dose delivery accuracy and improve treatment outcomes. In this study, we pr
Publikováno v:
Medical Imaging 2021: Image Processing.
We propose a learning-based method to automatically segment lung tumor from positron emission tomography (PET)/computed tomography (CT) images. A dual pyramid mask R-CNN is introduced to enable end-to-end segmentation. To avoid the effect of useless
Publikováno v:
Medical Imaging 2021: Image Processing.
In this study, we propose a new deep learning-based method to predict radiation dose for prostate cancer patients undergoing high-dose-rate (HDR) brachytherapy. The proposed framework consists of three major steps, which are deformable registration v
Autor:
Tian Liu, Kristin Higgins, Xiaofeng Yang, Jeffrey D. Bradley, Richard L.J. Qiu, Walter J. Curran, Yang Lei, Aparna H. Kesarwala
Publikováno v:
Medical Imaging 2021: Image Processing.
Image-guided radiation therapy (IGRT) is an important technological advancement that has significantly contributed to the accuracy of radiation oncology treatment plan delivery in the last decade. However, the current standard IGRT technique of linac
Autor:
Walter J. Curran, Tian Liu, Mark W. McDonald, Tonghe Wang, Yang Lei, Jonathan J. Beitler, Xiaofeng Yang
Publikováno v:
Medical Imaging 2021: Image Processing.
This work aims to develop an automatic multi-organ segmentation approach based on deep learning for head - and- neck region on dual energy CT. The proposed method proposed a Mask scoring R-CNN where comprehensive features are first learnt from two in
Autor:
Yang Lei, Yabo Fu, Walter J. Curran, Tonghe Wang, Xiangyang Tang, Tian Liu, Pretesh Patel, Xiaofeng Yang, Huiqiao Xie
Publikováno v:
Medical Imaging 2021: Image Processing.
Cone-beam computed tomography (CBCT) has been widely used in image-guided radiation therapy. Deformable image registration (DIR) among inter-fraction CBCTs is essential in order to evaluate the geometric and anatomic changes in adaptive radiation the
Autor:
Walter J. Curran, Kristin Higgins, Tonghe Wang, Xiaofeng Yang, Zhen Tian, Justin Roper, Yang Lei, Tian Liu, Jeffrey D. Bradley
Publikováno v:
Medical Imaging 2021: Image Processing.
Due to the inter-fraction and intra-fraction variation of respiratory motion, it is highly desired to provide real-time volumetric images during the treatment delivery of lung stereotactic body radiation therapy (SBRT) for accurate and active motion
Autor:
Yang Lei, Tonghe Wang, Walter J. Curran, Justin Roper, Jun Zhou, Xiaofeng Yang, Tian Liu, James Janopaul-Naylor, Xianjin Dai, Pretesh Patel
Publikováno v:
Medical Imaging 2021: Image Processing.
The inter-fraction motion management of pancreatic radiotherapy remains a challenge in current clinical practice. CBCT-based adaptive radiotherapy is an emerging technique for either offline or online plan adaptations. Accurately delineating tumor ta