title: Intrinsic 2D/3D registration based on a hybrid approach: use in the radiosurgical imaging process.
abstract: During the latest years, numerous methods of multimodal image matching have been developed. Associated with medical imaging, these developments make it possible to match images using intrinsic data, as anatomical data, instead of external referential, as stereotactic frames. Thus, the use of intrinsic registration considerably increases possibilities in medical image analysis. Unfortunately, these techniques mostly remain in the research field and are rarely used in clinical daily practice. In this paper, we present a method for matching projective imaging (2D, radiography, angiography...) and tomographic imaging (3D, Magnetic Resonance Imaging, Computed Tomography). Furthermore, we propose a radiosurgical application for Arteriovenous Malformation (AVM). Radiosurgery planning for the treatment of AVM requires multiple image acquisitions in multimodality to define the irradiation target and to compute the dosimetry. All the planning images are acquired with a stereotactic frame. We describe in this paper the image registration technique that we propose to include diagnostic images in the planning process and the different steps required to validate our approach. In the current state, the results obtained do not enable us to replace the conventional technique due to the accuracy expected, but the analysis of the results shows that improvements of the protocol would make this application finally operational.
authors.affiliation: INSERM U703, Lille, France. m-vermandel@chru-lille.fr
authors.forename: Maximilien
authors.initials: M
authors.lastname: Vermandel
authors.forename: Nacim
authors.initials: N
authors.lastname: Betrouni
authors.forename: Jean-Yves
authors.initials: JY
authors.lastname: Gauvrit
authors.forename: David
authors.initials: D
authors.lastname: Pasquier
authors.forename: Christrian
authors.initials: C
authors.lastname: Vasseur
authors.forename: Jean
authors.initials: J
authors.lastname: Rousseau
mesh_terms: D000465:Algorithms; D001165:Arteriovenous Malformations / Q000175:diagnosis / Q000601:surgery*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D018810:Magnetic Resonance Angiography / Q000295:instrumentation / Q000379:methods; D008433:Mathematics; D019047:Phantoms, Imaging; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D016634:Radiosurgery / Q000295:instrumentation / Q000379:methods*; D011880:Radiotherapy Planning, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D015203:Reproducibility of Results