51. Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique
- Author
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Corrado D’Arrigo, Francesco Marletta, Salvatore Vitabile, Pietro Pisciotta, Massimo Midiri, Maria Carla Gilardi, Massimo Ippolito, Carmelo Militello, Leonardo Rundo, Giorgio Ivan Russo, Bassis, S., Esposito, A., Morabito, F.C., Rundo, L, Militello, C, Vitabile, S, Russo, G, Pisciotta, P, Marletta, F, Ippolito, M, D'Arrigo, C, Midiri, M, Gilardi, MC, Esposito A.,Esposito A.,Morabito F.C.,Pasero E.,Bassis S., and Gilardi, M
- Subjects
Computer science ,Gamma knife ,Brain lesions, Gamma knife treatments, MR imaging, Semi-automatic segmentation, Unsupervised FCM clustering ,Fuzzy logic ,Brain lesions ,Gamma knife treatments ,MR imaging ,Semi-automatic segmentation ,Unsupervised FCM clustering ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Computer vision ,Segmentation ,Radiation treatment planning ,Cluster analysis ,Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni ,business.industry ,Mr imaging ,Brain lesion ,Gamma knife treatment ,Semi automatic ,Artificial intelligence ,business ,030217 neurology & neurosurgery - Abstract
MR Imaging is being increasingly used in radiation treatment planning as well as for staging and assessing tumor response. Leksell Gamma Knife (R) is a device for stereotactic neuro-radiosurgery to deal with inaccessible or insufficiently treated lesions with traditional surgery or radiotherapy. The target to be treated with radiation beams is currently contoured through slice-by-slice manual segmentation on MR images. This procedure is time consuming and operator-dependent. Segmentation result repeatability may be ensured only by using automatic/semi-automatic methods with the clinicians supporting the planning phase. In this paper a semi-automatic segmentation method, based on an unsupervised Fuzzy C-Means clustering technique, is proposed. The presented approach allows for the target segmentation and its volume calculation. Segmentation tests on 5 MRI series were performed, using both area-based and distance-based metrics. The following average values have been obtained: DS = 95.10, JC = 90.82, TPF = 95.86, FNF = 2.18, MAD = 0.302, MAXD = 1.260, H = 1.636.
- Published
- 2016