DRR and Portal Image Registration for Automatic Patient Positioning in Radiotherapy Treatment.

Image processing turns out to be essential in the planning and verification of radiotherapy treatments. Before applying a radiotherapy treatment, a dosimetry planning must be performed. Usually, the planning is done by means of an X-ray volumetric analysis using computerized tomography, where the ar...

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Publicado en:Journal of Digital Imaging Vol. 24; no. 6; pp. 999 - 1010
Autores principales: Bastida-Jumilla, Ma, Larrey-Ruiz, Jorge, Verdú-Monedero, Rafael, Morales-Sánchez, Juan, Sancho-Gómez, José-Luis
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Dec2011
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2011
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      pub: Springer Nature
      place: New York, New York
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        atl: DRR and Portal Image Registration for Automatic Patient Positioning in Radiotherapy Treatment.
      aug:
        au:
          Bastida-Jumilla, Ma
          Larrey-Ruiz, Jorge
          Verdú-Monedero, Rafael
          Morales-Sánchez, Juan
          Sancho-Gómez, José-Luis
        affil: Tecnologías de la Información y las Comunicaciones Department, Universidad Politécnica de Cartagena, Campus Muralla del Mar Antiguo Cuartel de Antigones s/n 30202 Cartagena Spain
      sug:
        subj:
          Patient Positioning Methods
          Therapy, Computer Assisted
          Radiotherapy
          Automation
          Radiographic Image Enhancement
          Human
          Evaluation Research
          Funding Source
      ab: Image processing turns out to be essential in the planning and verification of radiotherapy treatments. Before applying a radiotherapy treatment, a dosimetry planning must be performed. Usually, the planning is done by means of an X-ray volumetric analysis using computerized tomography, where the area to be radiated is marked out. During the treatment phase, it is necessary to place the patient under the particle accelerator exactly as considered in the dosimetry stage. Coarse alignment is achieved using fiduciary markers placed over the patient's skin as external references. Later, fine alignment is provided by comparing a digitally reconstructed radiography (DRR) from the planning stage and a portal image captured by the accelerator in the treatment stage. The preprocessing of DRR and portal images, as well as the minimization of the non-shared information between both kinds of images, is mandatory for the correct operation of the image registration algorithm. With this purpose, mathematical morphology and image processing techniques have been used. The present work describes a fully automatic method to calculate more accurately the necessary displacement of the couch to place the patient exactly at the planned position. The proposed method to achieve the correct positioning of the patient is based on advanced image registration techniques. Preliminary results show a perfect match with the displacement estimated by the physician.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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