MLC tracking for lung SABR is feasible, efficient and delivers high-precision target dose and lower normal tissue dose

Autor: Doan Trang Nguyen, Alexander Podreka, Kathryn Szymura, Benjamin Harris, Vincent Caillet, Thomas Eade, Ricky O'Brien, Dasantha Jayamanne, Georgios I. Angelis, Nicholas Hardcastle, Per Rugaard Poulsen, Meegan Shepherd, Jeremy T. Booth, Carol Haddad, Paul J. Keall, Adam Briggs

Publikováno v: Booth, J, Caillet, V, Briggs, A, Hardcastle, N, Angelis, G, Jayamanne, D, Shepherd, M, Podreka, A, Szymura, K, Nguyen, D T, Poulsen, P, O'Brien, R, Harris, B, Haddad, C, Eade, T & Keall, P 2021, ' MLC tracking for lung SABR is feasible, efficient and delivers high-precision target dose and lower normal tissue dose ', Radiotherapy and Oncology, vol. 155, pp. 131-137 . https://doi.org/10.1016/j.radonc.2020.10.036

Background and purposeThe purpose of this work is to present the clinical experience from the first-in-human trial of real-time tumor targeting via MLC tracking for stereotactic ablative body radiotherapy (SABR) of lung lesions.Methods and materialsS

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aefa603a2a3e05b7c52db3e61c93b819
https://doi.org/10.1016/j.radonc.2020.10.036

Building Blocks for Deep Learning-Based Motion Correction in PET

Autor: Roger Fulton, F. E. Enriquez-Mier-y-Teran, Georgios I. Angelis, O. Brandt, Andre Kyme, Steven R. Meikle

Publikováno v: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Rigid motion correction remains an important challenge in PET. Convolutional Neural Networks (CNNs) have recently matched or outperformed traditional solutions for some medical imaging problems but are largely unexplored for PET motion correction. A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::485987f09926146b4fa1db751958b4cb
https://doi.org/10.1109/nss/mic42677.2020.9508099

Direct Estimation of Neurotransmitter Activation Parameters in Dynamic PET Using Regression Neural Networks

Autor: Tianyu Ma, Yaqiang Liu, Yifan Hu, Oliver K. Fuller, Peter L. Kench, Georgios I. Angelis, Steven R. Meikle

Publikováno v: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Current pharmacokinetic models, such as the linear parametric neurotransmitter PET (lp-ntPET) model have been developed to detect and quantify transient changes in receptor occupancy caused by variations in the concentration of endogenous neurotransm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cac389c8c545fabfcddca5de8f785822
https://doi.org/10.1109/nss/mic42101.2019.9060010

Direct Estimation of Voxel-Wise Neurotransmitter Response Maps From Dynamic PET Data

Autor: Roger Fulton, William J. Ryder, Steven R. Meikle, Georgios I. Angelis, John E. Gillam

Publikováno v: IEEE transactions on medical imaging. 38(6)

Computational methods, such as the linear parametric neurotransmitter PET (lp-ntPET) method, have been developed to characterize the transient changes in radiotracer kinetics in the target tissue during endogenous neurotransmitter release. In this pa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45578676c9fb4362622ba848c021ed57
https://pubmed.ncbi.nlm.nih.gov/30507497

List-mode image reconstruction for positron emission tomography using tetrahedral voxels

Autor: Georgios I. Angelis, Steven R. Meikle, John E. Gillam

Publikováno v: Physics in Medicine and Biology. 61:N497-N513

Image space decomposition based on tetrahedral voxels are interesting candidates for use in emission tomography. Tetrahedral voxels provide many of the advantages of point clouds with irregular spacing, such as being intrinsically multi-resolution, y

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::280b57a0ba6cf060f17685d575110ad8
https://doi.org/10.1088/0031-9155/61/18/n497