Feasibility of case-based beam generation for robotic radiosurgery

Alexander Schlaefer, Sonja Dieterich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Robotic radiosurgery uses the kinematic flexibility of a robotic arm to target tumors and lesions from many different directions. This approach allows to focus the dose to the target region while sparing healthy surrounding tissue. However, the flexibility in the placement of treatment beams is also a challenge during treatment planning. So far, a randomized beam generation heuristic has been proven to be most robust in clinical practice. Yet, for prevalent types of cancer similarities in patient anatomy and dose prescription exist. We propose a case-based method to solve the planning problem for a new patient by adapting beam sets from successful previous treatments. Preliminary experimental results indicate that the novel method could lead to faster treatment planning.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages106-115
Number of pages10
Volume5651 LNAI
DOIs
StatePublished - 2009
Externally publishedYes
Event12th Conference on Artificial Intelligence in Medicine, AIME 2009 - Verona, Italy
Duration: Jul 18 2009Jul 22 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5651 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th Conference on Artificial Intelligence in Medicine, AIME 2009
CountryItaly
CityVerona
Period7/18/097/22/09

Fingerprint

Robotics
Planning
Dose
Robotic arms
Flexibility
Target
Tumors
Kinematics
Anatomy
Tissue
Placement
Tumor
Cancer
Heuristics
Experimental Results

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Schlaefer, A., & Dieterich, S. (2009). Feasibility of case-based beam generation for robotic radiosurgery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5651 LNAI, pp. 106-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5651 LNAI). https://doi.org/10.1007/978-3-642-02976-9_15

Feasibility of case-based beam generation for robotic radiosurgery. / Schlaefer, Alexander; Dieterich, Sonja.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5651 LNAI 2009. p. 106-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5651 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Schlaefer, A & Dieterich, S 2009, Feasibility of case-based beam generation for robotic radiosurgery. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5651 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5651 LNAI, pp. 106-115, 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, 7/18/09. https://doi.org/10.1007/978-3-642-02976-9_15
Schlaefer A, Dieterich S. Feasibility of case-based beam generation for robotic radiosurgery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5651 LNAI. 2009. p. 106-115. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-02976-9_15
Schlaefer, Alexander ; Dieterich, Sonja. / Feasibility of case-based beam generation for robotic radiosurgery. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5651 LNAI 2009. pp. 106-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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