3D automatic segmentation and reconstruction of prostate on MR images.
In this work we present a method to automatic 3D segmentation of prostate on MR images and volume reconstruction by fuzzy sets fusion algorithm. The segmentation is model based method and the reconstruction takes into account the slice thickness to reduce the partial volume effect.
Betrouni
Nacim
N
INSERM U703 research unit. THAIS. ITM, Pavillon Vancostenobel, CHRU de Lille, Lille, France. n-betrouni@chru-lille.fr
Puech
Philippe
P
Dewalle
Anne-Sophie
AS
Lopes
Renaud
R
Dubois
Patrick
P
Vermandel
Maximilien
M
D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D011467:Prostate / Q000473:pathology*; D011471:Prostatic Neoplasms / Q000175:diagnosis*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity