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公开(公告)号：US20210299470A1
公开(公告)日：2021-09-30
申请号：US16833752
申请日：2020-03-30
发明人： Janne I. Nord , Anssi Kesti-Helia , Sylvie Spiessens , Helen Phillips , Santtu T.T. Ollila , Tor-Erik Malen , Francesca Attanasi , Anri Maarita Friman , Anne Razavi
摘要： Deep learning approaches automatically segment at least some breast tissue images while non-deep learning approaches automatically segment organs-at-risk. Both three-dimensional CT imaging information and two-dimensional orthogonal topogram imaging information can be used to determine virtual-skin volume. The foregoing imaging information can also serve to automatically determine a body outline for at least a portion of the patient. That body outline, along with the virtual-skin volume and registration information can serve as inputs to automatically calculate radiation treatment platform trajectories, collision detection information, and virtual dry run information of treatment delivery per the optimized radiation treatment plan.
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公开(公告)号：US11024084B2
公开(公告)日：2021-06-01
申请号：US15892226
申请日：2018-02-08
发明人： Anri Maarita Friman , Ronan MacLaverty , Jarkko Peltola , Mikko Juhani Vainio , Janne I. Nord , Santtu Tuomo Tapani Ollila
IPC分类号： G06T19/00 , A61N5/10 , G06T11/60 , G02B27/01 , G06F3/0482 , G06F3/0484 , G06F3/01
摘要： An apparatus for use in a medical process that involves a particle accelerator, includes: a processing unit configured to obtain treatment plan information, obtain a viewing direction of a user of the apparatus, and process the treatment plan information based on the viewing direction of the user of the apparatus to create a graphical representation of the treatment plan information for presentation to the user of the apparatus; and a screen for displaying the graphical representation.
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公开(公告)号：US11478660B2
公开(公告)日：2022-10-25
申请号：US16833752
申请日：2020-03-30
发明人： Janne I. Nord , Anssi Kesti-Helia , Sylvie Spiessens , Helen Phillips , Santtu T. T. Ollila , Tor-Erik Malen , Francesca Attanasi , Anri Maarita Friman , Anne Razavi
摘要： Deep learning approaches automatically segment at least some breast tissue images while non-deep learning approaches automatically segment organs-at-risk. Both three-dimensional CT imaging information and two-dimensional orthogonal topogram imaging information can be used to determine virtual-skin volume. The foregoing imaging information can also serve to automatically determine a body outline for at least a portion of the patient. That body outline, along with the virtual-skin volume and registration information can serve as inputs to automatically calculate radiation treatment platform trajectories, collision detection information, and virtual dry run information of treatment delivery per the optimized radiation treatment plan.
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公开(公告)号：US10825251B2
公开(公告)日：2020-11-03
申请号：US15892157
申请日：2018-02-08
发明人： Jarkko Peltola , Mikko Juhani Vainio , Janne I. Nord , Santtu Tuomo Tapani Ollila , Anri Maarita Friman , Ronan MacLaverty
摘要： An apparatus for use in a medical process that involves a particle accelerator, includes: a processing unit configured to obtain medical information, obtain a viewing direction of a user of the apparatus, and process the medical information based on the viewing direction of the user of the apparatus to create a graphical representation of the medical information for presentation to the user of the apparatus; and a screen for displaying the graphical representation.
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