Ultrasound bone detection using patient-specific CT prior.
Registration of pre-operative CT datasets to intra-operative 3D freehand ultrasound has been of high interest for computer assisted orthopedic surgery. Feature-based registration relies on an accurate detection of the bone surface in the B-mode ultrasound images. In this work we present a fully automatic bone detection approach for US. The pre-operative CT is utilized to create a patient-specific bone model for our joint detection-registration framework. The model provides a geometric constraint for accurate and robust detection. Simultaneously to the detection, our method yields a close estimate of the rigid transformation from US to CT, which can be used as an initialization for further refinement through sophisticated intensity-/feature-based registration methods. We evaluated our approach on datasets of the human femur acquired in a cadaver study and demonstrate a mean bone detection error of below 0.4 mm.
Technische Universität München in Munich, Germany. fbeitzel at in.tum.de
Julian
J
Beitzel
Seyed-Ahmad
SA
Ahmadi
Athanasios
A
Karamalis
Wolfgang
W
Wein
Nassir
N
Navab
D000465:Algorithms; D001842:Bone and Bones / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods; D014057:Tomography, X-Ray Computed; D014463:Ultrasonography