In this work a fully automatic algorithm to detect brain tumors by using symmetry analysis is proposed. A clustering method based on energy minimization through Graph-Cut is applied on the volume computed as a difference between the left hemisphere and the right hemisphere mirrored across the symmetry plane. Differential analysis involves the loss the knowledge of the tumor side. Through an histogram analysis the ill hemisphere is recognized. Many experiments are performed to assess the performance of the detection strategy on MRI volumes in presence of tumors varied in terms of shapes positions and intensity levels. The experiments showed good results also in complex situations.

Glial brain tumor detection by using symmetry analysis

PEDOIA, VALENTINA;BINAGHI, ELISABETTA;BALBI, SERGIO;
2012

Abstract

In this work a fully automatic algorithm to detect brain tumors by using symmetry analysis is proposed. A clustering method based on energy minimization through Graph-Cut is applied on the volume computed as a difference between the left hemisphere and the right hemisphere mirrored across the symmetry plane. Differential analysis involves the loss the knowledge of the tumor side. Through an histogram analysis the ill hemisphere is recognized. Many experiments are performed to assess the performance of the detection strategy on MRI volumes in presence of tumors varied in terms of shapes positions and intensity levels. The experiments showed good results also in complex situations.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11383/1787337
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