Literature DB >> 17879775

Direct validation of atlas-based red nucleus identification for functional radiosurgery.

Joseph Stancanello1, Pantaleo Romanelli, Fabio Sebastiano, Nicola Modugno, Alexander Muacevic, Pietro Cerveri, Vincenzo Esposito, Giancarlo Ferrigno, Fulvio Uggeri, Giampaolo Cantore.   

Abstract

Treatment targets in functional neurosurgery usually consist of selected structures within the thalamus and basal ganglia, which can be stimulated in order to affect specific brain pathways. Chronic electrical stimulation of these structures is a widely used approach for selected patients with advanced movement disorders. An alternative therapeutic solution consists of producing a lesion in the target nucleus, for example by means of radiosurgery, a noninvasive procedure, and this prevents the use of intraoperative microelectrode recording as a method for accurate target definition. The need to have accurate noninvasive localization of the target motivated our previous work on atlas-based identification; the aim of this present work is to provide additional validation of this approach based on the identification of the red nuclei (RN), which are located near the subthalamic nucleus (STN). Coordinates of RN were obtained from the Talairach and Tournoux (TT) atlas and transformed into the coordinates of the Montreal Neurological Institute (MNI) atlas, creating a mask representation of RN. The MNI atlas volume was nonrigidly registered onto the patient magnetic resonance imaging (MRI). This deformation field was then applied to the RN mask, providing its location on the patient MRI. Because RN are easily identifiable on 1.5 T T2-MRI images, they were manually delineated; the coordinates of the centers of mass of the manually and automatically identified structures were compared. Additionally, volumetric overlapping indices were calculated. Ten patients were examined by this technique. All indices indicated a high level of agreement between manually and automatically identified structures. These results not only confirm the accuracy of the method but also allow fine tuning of the automatic identification method to be performed.

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Year:  2007        PMID: 17879775     DOI: 10.1118/1.2750971

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  1 in total

1.  A multi-metric registration strategy for the alignment of longitudinal brain images in pediatric oncology.

Authors:  Eros Montin; Antonella Belfatto; Marco Bologna; Silvia Meroni; Claudia Cavatorta; Emilia Pecori; Barbara Diletto; Maura Massimino; Maria Chiara Oprandi; Geraldina Poggi; Filippo Arrigoni; Denis Peruzzo; Emanuele Pignoli; Lorenza Gandola; Pietro Cerveri; Luca Mainardi
Journal:  Med Biol Eng Comput       Date:  2020-02-11       Impact factor: 2.602

  1 in total

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