Detecting mechanical abnormalities in prostate tissue using FE-based image registration.
An image registration-based elastography algorithm is presented for assessing the stiffness of tissue regions inside the prostate for the purpose of detecting tumors. A 3D finite-element model of the prostate is built from ultrasound images and used to simulate the deformation of the prostate induced by a TRUS probe. To reconstruct the stiffness of tissues, their Young's moduli are varied using Powell's method so that the mutual information between a simulated and deformed image volume is maximized. The algorithm was validated using a gelatin prostate phantom embedded with a cylindrical inclusion that simulated a tumor. Results from the phantom study showed that the technique could detect the increased stiffness of the simulated tumor with a reasonable accuracy.
Department of Electrical and Computer Engineering, University of Western Ontario. pcourtis@uwo.ca
Patrick
P
Courtis
Abbas
A
Samani
D000465:Algorithms; D001185:Artificial Intelligence; D004548:Elasticity; D020342:Finite Element Analysis; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D008297:Male; D008954:Models, Biological; D019047:Phantoms, Imaging; D011467:Prostate / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013314:Stress, Mechanical; D013382:Subtraction Technique; D014463:Ultrasonography