Binary Segmentation Masks Can Improve Intrasubject Registration Accuracy of Bone Structures in CT Images

Abstract

Registration of bone structures is a common problem in medical research as well as in clinical applications. Intrasubject rigid 3D monomodality registration of segmented bone structures of CT images and multimodality registration of muMR and segmented muCT bone images were performed with the multiresolution intensity-based technique implemented in ITK. The registration results for binary volumes of interest (VOI) masks and for segmented gray value VOIs were compared. To determine the registration quality, in the monomodality case the sum of squared difference, the sum of absolute differences, and the normalized symmetric difference of binary masks and in the multimodality case Mattes mutual information were applied. The use of binary VOI masks was significantly superior to the use of gray value VOIs.

Registration of 2D histological sections with 3D micro-CT datasets from small animal vertebrae and tibiae

“…This conclusion was confirmed in our previous study, although not in the same setting (Museyko et al 2010). However, the applications where multi-modality registration has lower quality than the segmentation-based one are rare, because the latter requires accurate segmentation techniques to get superior registration quality, which often Figure 5.…”

“…Here, we used the Jaccard distance. The properties of this similarity measure were investigated in Museyko et al (2010) in the context of bone registration. The Jaccard distance is closely related to the ratio of bone to tissue volume (BV/TV), which is important for the validation of histomorphometric parameters.…”

“…In this case, binary segmentation masks, which hide the differences in internal object structure, may allow for better shape registration. This is not only true for statistical shape models but also for some applications involving rigid registrations, for example, longitudinal bone structure analysis (Museyko et al 2010), or CT-ultrasound registration (Brounstein et al 2011;Nam et al 2012). Also in most cases, a registration is followed by a quantitative analysis that often requires a segmentation step.…”

A quantification strategy for missing bone mass in case of osteolytic bone lesions

“…Registration based on landmarks seems to be possible for bones, but it might cause problems, because characteristic landmarks could be destroyed by the osteolysis. Registration with mutual information is viable for bone registration 24,25 and could also be applied in cases with destroyed bone mass. In Ref.…”

High throughput patient-specific orthopaedic analysis

“…These improvements would help to improve the accuracy of the EM segmentation technique and bring it one step closer to clinical relevancy. Many segmentation techniques have been optimized to specific regions of the musculoskeletal system including the femur [65,90,109,110], tibia [65,110,111], skull [65,110], vertebrae [91,112], carpal bones [62], phalanges [15,97,103], as well as…”