Sökning: id:"swepub:oai:gup.ub.gu.se/175249" >
Patient positioning...
Patient positioning using artificial intelligence neural networks, trained magnetic field sensors and magnetic implants.
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- Lennernäs, Bo, 1963 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för särskilda specialiteter, Avdelningen för onkologi,Institute of Selected Clinical Sciences, Department of Oncology
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Edgren, M (författare)
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- Nilsson, S (författare)
- Karolinska Institutet
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(creator_code:org_t)
- Informa UK Limited, 1999
- 1999
- Engelska.
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Ingår i: Acta oncologica (Stockholm, Sweden). - : Informa UK Limited. - 0284-186X .- 1651-226X. ; 38:8, s. 1109-12
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Nyckelord
- Humans
- Magnetics
- Neoplasms
- radiotherapy
- Neural Networks (Computer)
- Posture
- Radiotherapy
- instrumentation
- methods
- Technology
- Radiologic
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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