title: Efficient convex optimization approach to 3D non-rigid MR-TRUS registration.
abstract: In this study, we propose an efficient non-rigid MR-TRUS deformable registration method to improve the accuracy of targeting suspicious locations during a 3D ultrasound (US) guided prostate biopsy. The proposed deformable registration approach employs the multi-channel modality independent neighbourhood descriptor (MIND) as the local similarity feature across the two modalities of MR and TRUS, and a novel and efficient duality-based convex optimization based algorithmic scheme is introduced to extract the deformations which align the two MIND descriptors. The registration accuracy was evaluated using 10 patient images by measuring the TRE of manually identified corresponding intrinsic fiducials in the whole gland and peripheral zone, and performance metrics (DSC, MAD and MAXD) for the apex, mid-gland and base of the prostate were also calculated by comparing two manually segmented prostate surfaces in the registered 3D MR and TRUS images. Experimental results show that the proposed method yielded an overall mean TRE of 1.74 mm, which is favorably comparable to a clinical requirement for an error of less than 2.5 mm.
authors: Imaging Research Labs, Robarts Research Institute, Western University, Canada.
authors: Yue
authors: Y
authors: Sun
authors: Imaging Research Labs, Robarts Research Institute, Western University, Canada.
authors: Jing
authors: J
authors: Yuan
authors: Imaging Research Labs, Robarts Research Institute, Western University, Canada.
authors: Martin
authors: M
authors: Rajchl
authors: Imaging Research Labs, Robarts Research Institute, Western University, Canada.
authors: Wu
authors: W
authors: Qiu
authors: Department of Medical Imaging, Western University, Canada.
authors: Cesare
authors: C
authors: Romagnoli
authors: Imaging Research Labs, Robarts Research Institute, Western University, Canada.
authors: Aaron
authors: A
authors: Fenster
mesh_terms: D000465:Algorithms; D061765:Endoscopic Ultrasound-Guided Fine Needle Aspiration / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D061705:Image-Guided Biopsy / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique