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Patient positioning...
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Lennernäs, Bo,1963Gothenburg University,Göteborgs universitet,Institutionen för särskilda specialiteter, Avdelningen för onkologi,Institute of Selected Clinical Sciences, Department of Oncology
(författare)
Patient positioning using artificial intelligence neural networks, trained magnetic field sensors and magnetic implants.
- Artikel/kapitelEngelska1999
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LIBRIS-ID:oai:gup.ub.gu.se/175249
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https://gup.ub.gu.se/publication/175249URI
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http://kipublications.ki.se/Default.aspx?queryparsed=id:16263914URI
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https://doi.org/10.1080/028418699432446DOI
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The purpose of this study was to evaluate the precision of a sensor and to ascertain the maximum distance between the sensor and the magnet, in a magnetic positioning system for external beam radiotherapy using a trained artificial intelligence neural network for position determination. Magnetic positioning for radiotherapy, previously described by Lennernäs and Nilsson, is a functional technique, but it is time consuming. The sensors are large and the distance between the sensor and the magnetic implant is limited to short distances. This paper presents a new technique for positioning, using an artificial intelligence neural network, which was trained to position the magnetic implant with at least 0.5 mm resolution in X and Y dimensions. The possibility of using the system for determination in the Z dimension, that is the distance between the magnet and the sensor, was also investigated. After training, this system positioned the magnet with a mean error of maximum 0.15 mm in all dimensions and up to 13 mm from the sensor. Of 400 test positions, 8 determinations had an error larger than 0.5 mm, maximum 0.55 mm. A position was determined in approximately 0.01 s.
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Edgren, M
(författare)
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Nilsson, SKarolinska Institutet
(författare)
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Göteborgs universitetInstitutionen för särskilda specialiteter, Avdelningen för onkologi
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Acta oncologica (Stockholm, Sweden): Informa UK Limited38:8, s. 1109-120284-186X1651-226X
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