Almaraz, David M. E, (2016) Correlación de volúmenes de órganos a riesgo entre imágenes tomográficas de un mismo paciente, adquiridas en diferentes momentos. / Correlation of volumes of organs at risk between tomographic images of the same patient, acquired at different times. Maestría en Física Médica, Universidad Nacional de Cuyo, Instituto Balseiro.
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Resumen en español
Se trabaja con una herramienta computacional de libre accesibilidad, conocida como 3D-Slicer. Este software es capaz de realizar los co-registros por diferentes métodos: por ejemplo, Mutual Information, Co-registro basado en estructuras delineadas por el médico, o auto-segmentación, Registro Fiducial, Landmarks, etc. De esta forma, se obtiene un análisis de las imágenes registradas y de sus estructuras delineadas. Mediante el método de cálculo de EV% (error porcentual de volumen de las estructuras de órganos a riesgo), se puede cuantificar el error que se comete en la delineación de las estructuras de interés entre ambas imágenes sin registrar. En este caso las definimos como imagen de referencia a CT_1 y la imagen a registrar como CT_2. Además se logra medir el cambio de volumen de los ROIs generados por las transformaciones lineales después de aplicado el registro. Como también al aplicar el Registro Fiducial, no se registran cambios en dichos volúmenes mencionados. El análisis que se realiza está bajo el marco de la mejor elección del tipo de registro, su transformación y la deformación inducida a las estructuras delineadas sin cambios en sus volúmenes. Luego la presentación de resultados a partir del análisis observacional y cuantitativo, nos permite ampliar la búsqueda de un posible protocolo de estudio de nuestro Registro de imágenes.
Resumen en inglés
It works with a computer tool of free accessibility, known as 3D-Slicer. This software is able to perform co-registrations by different methods: for example, Mutual Information, Co-registration based on structures delineated by the physician, or self-segmentation, Fiducial Record, Landmarks, etc. In this way, an analysis of the recorded images and their delineated structures is obtained. By means of the EV% calculation method (percentage error of volume of the structures of organs at risk), it is possible to quantify the error that is committed in the delineation of the structures of interest between both unregistered images. In this case we define them as reference image to CT_1 and the image to register as CT_2. In addition, it is possible to measure the volume change of the ROIs generated by the linear transformations after the registration has been applied. As well as in applying the Fiducial Register, no changes are recorded in said mentioned volumes. The analysis that is carried out is under the frame of the best choice of the type of record, its transformation and the induced deformation to the delineated structures without changes in their volumes. Then the presentation of results from the observational and quantitative analysis, allows us to expand the search for a possible study protocol from our Image Registry.
| Tipo de objeto: | Tesis (Maestría en Física Médica) |
|---|---|
| Información Adicional: | Área Temática: Procesamiento de Imágenes Médicas para Radioterapia. Materia: Introducción al Procesamiento de Imágenes Médicas, Radioterapia. |
| Palabras Clave: | Images; Imágenes; Tomography; Tomografía; Tumors; Tumores; [Deformation; Deformación; 3D-Slicer] |
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| Materias: | Medicina > Radioterapia |
| Divisiones: | Hospital Oncológico de Córdoba |
| Código ID: | 604 |
| Depositado Por: | Tamara Cárcamo |
| Depositado En: | 18 May 2017 11:46 |
| Última Modificación: | 22 May 2017 10:53 |
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