Algorithms for modeling anatomic and target volumes in image‐guided neurosurgery and radiotherapy

Alakuijala, Jyrki

doi:10.1118/1.1501890

Cited by 4 publications

(2 citation statements)

References 167 publications

(286 reference statements)

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“…The EMTS technical accuracy was earlier found to be in the range of 0.17 mm to 1.4 mm (Mascott 2005; Schneider & Stevens 2011; Simon 1997; Frantz et al 2003; Schicho et al 2005; Alakuijala 2001; de Lambert et al 2012; Hummel et al 2006). From these results it is evident that EMTS is a slightly more error sensitive method.…”

Section: Discussionmentioning

confidence: 99%

“…Other international groups assessing the OTS have reported technical accuracies in the range of 0.1 mm to 1.4 mm, depending on the assessed device and methods (Wiles et al 2004; Kücker et al 2006; Mascott 2005; Simon 1997; Alakuijala 2001; NDI Digital 2012; Ringel et al 2009; Ruohonen & Karhu 2010; Widmann et al 2012; Wittmann et al 2011). NDI, the manufacturer of optical cameras commonly used in surgical navigators, reports an accuracy of 0.25 mm with a 95% CI of 0.5 mm for their new products, the Polaris Spectra ® and Polaris Vicra ® (NDI Digital 2012).…”

Section: Discussionmentioning

confidence: 99%

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Technical accuracy of optical and the electromagnetic tracking systems

2013

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Thousands of operations are annually guided with computer assisted surgery (CAS) technologies. As the use of these devices is rapidly increasing, the reliability of the devices becomes ever more critical. The problem of accuracy assessment of the devices has thus become relevant. During the past five years, over 200 hazardous situations have been documented in the MAUDE database during operations using these devices in the field of neurosurgery alone. Had the accuracy of these devices been periodically assessed pre-operatively, many of them might have been prevented.The technical accuracy of a commercial navigator enabling the use of both optical (OTS) and electromagnetic (EMTS) tracking systems was assessed in the hospital setting using accuracy assessment tools and methods developed by the authors of this paper. The technical accuracy was obtained by comparing the positions of the navigated tool tip with the phantom accuracy assessment points. Each assessment contained a total of 51 points and a region of surgical interest (ROSI) volume of 120x120x100 mm roughly mimicking the size of the human head.The error analysis provided a comprehensive understanding of the trend of accuracy of the surgical navigator modalities. This study showed that the technical accuracies of OTS and EMTS over the pre-determined ROSI were nearly equal. However, the placement of the particular modality hardware needs to be optimized for the surgical procedure. New applications of EMTS, which does not require rigid immobilization of the surgical area, are suggested.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Technical accuracy of optical and the electromagnetic tracking systems

2013

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Segmentación de los huesos en imágenes TC empleando la umbralización global y adaptativa

et al. 2014

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Recibido el 2 de agosto de 2013; aceptado el 7 de marzo de 2014 Disponible en Internet el 28 de octubre de 2014 PALABRAS CLAVE Umbralización global; Umbralización adaptativa; Procesamiento de imágenes médicas; Reconstrucción tridimensional de huesos; Imágenes TC; Modelación geométrica; DescomposiciónResumen El tejido óseo es el elemento principal del esqueleto. Sirve de soporte a las partes blandas, protege órganos vitales y constituye un sistema de palancas que amplifica las fuerzas generadas durante la contracción muscular.La descripción del comportamiento mecánico del tejido óseo, mediante el empleo de modelos discretos, pasa por diferentes etapas de análisis, las cuales van desde el procesamiento digital de la imagen hasta la especificación de las propiedades físicas del tejido al modelo discreto, siendo la descomposición de estos modelos en sus partes constitutivas un elemento clave.En la presente investigación se discute un método para la descripción geométrica de los huesos a partir de una secuencia de imágenes de tomografía computarizada y basado en la combinación de la umbralización global y adaptativa.Los resultados obtenidos demostraron que este método constituye una propuesta efectiva al problema del volumen parcial y la separación de los huesos en las articulaciones. Segmentation of bone in CT images using global adaptive thresholdingAbstract Bone is the main element of the skeleton. It support soft tissues, protects vital organs and constitutes a lever system that amplifies forces generated during muscular contraction.A description is presented of the mechanical behavior of hard tissues by means of discrete models going through various stages of analysis, which range from digital image processing until the specification of physical properties of tissue to the discrete model. The decomposition of these models into their constituent parts being a key element.In this paper, we discuss a method for the geometric description of bones from a sequence of computed tomography images, combining global and adaptive thresholding to determine the geometric domain of bones in each slice. * Autor para correspondencia. Correo electrónico: dolgis@infomed.sld.cu (D.R. Ortega).

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