TY - CHAP
T1 - An automatic method for metabolic evaluation of gamma knife treatments
AU - Vitabile, Salvatore
AU - Gambino, Orazio
AU - Ardizzone, Edoardo
AU - Stefano, Alessandro
AU - Pirrone, Roberto
AU - Gilardi, Maria Carla
AU - Stefano, Alessandro
AU - Russo, Giorgio
AU - Ippolito, Massimo
AU - D’Arrigo, Corrado
AU - D’Urso, Davide
AU - Marletta, Franco
AU - Sabini, Maria Gabriella
PY - 2015
Y1 - 2015
N2 - Lesion volume delineation of Positron Emission Tomography images is challenging because of the low spatial resolution and high noise level. Aim of this work is the development of an operator independent segmentation method of metabolic images. For this purpose, an algorithm for the biological tumor volume delineation based on random walks on graphs has been used. Twenty-four cerebral tumors are segmented to evaluate the functional follow-up after Gamma Knife radiotherapy treatment. Experimental results show that the segmentation algorithm is accurate and has real-time performance. In addition, it can reflect metabolic changes useful to evaluate radiotherapy response in treated patients.
AB - Lesion volume delineation of Positron Emission Tomography images is challenging because of the low spatial resolution and high noise level. Aim of this work is the development of an operator independent segmentation method of metabolic images. For this purpose, an algorithm for the biological tumor volume delineation based on random walks on graphs has been used. Twenty-four cerebral tumors are segmented to evaluate the functional follow-up after Gamma Knife radiotherapy treatment. Experimental results show that the segmentation algorithm is accurate and has real-time performance. In addition, it can reflect metabolic changes useful to evaluate radiotherapy response in treated patients.
KW - Biological target volume
KW - Computer Science (all)
KW - Gamma Knife treatment
KW - PET imaging
KW - Random walk
KW - Segmentation
KW - Theoretical Computer Science
KW - Biological target volume
KW - Computer Science (all)
KW - Gamma Knife treatment
KW - PET imaging
KW - Random walk
KW - Segmentation
KW - Theoretical Computer Science
UR - http://hdl.handle.net/10447/153964
UR - http://springerlink.com/content/0302-9743/copyright/2005/
M3 - Chapter
SN - 9783319232300
SP - 579
EP - 589
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -