Detection of tumour boundary and a further prediction of the tumour dynamics are necessary to verify the results of a particular treatment. Manual alignment of the images is a procedure that is often used. However, this process is quite necessary but also in some cases, inexact. In this paper we provide a method to perform an automatic contour of the boundary of brain tumour obtained through magnetic resonance images (MRI) and a functional linear model to monitor its evolution. The automatic determination of the contour points is based on the longitudinal resolution (number of points of vector defined in a region of interest ROI ) and gives a number of points that reconstruct the shape of the tumor. The continuous functions that lie behind the detected contours are then reconstructed and used in order to monitor the tumor evolution by a functional linear model.
Automatic Contour Detection and Functional Prediction of Brain Tumor Boundary
ROMANO, Elvira;
2012
Abstract
Detection of tumour boundary and a further prediction of the tumour dynamics are necessary to verify the results of a particular treatment. Manual alignment of the images is a procedure that is often used. However, this process is quite necessary but also in some cases, inexact. In this paper we provide a method to perform an automatic contour of the boundary of brain tumour obtained through magnetic resonance images (MRI) and a functional linear model to monitor its evolution. The automatic determination of the contour points is based on the longitudinal resolution (number of points of vector defined in a region of interest ROI ) and gives a number of points that reconstruct the shape of the tumor. The continuous functions that lie behind the detected contours are then reconstructed and used in order to monitor the tumor evolution by a functional linear model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
