A multi-stack registration technique to improve measurement accuracy and precision across longitudinal HR-pQCT scans

Whittier, Danielle E.<sup>1,2,*</sup>; Walle, Matthias<sup>1,*</sup>; Schenk, Denis<sup>3</sup>; Atkins, Penny R.<sup>1,2,4</sup>; Collins, Caitlyn J.<sup>1,5</sup>; Zysset, Philippe<sup>3</sup>; Lippuner, Kurt<sup>2</sup>; Müller, Ralph<sup>1</sup>

Affiliations

¹Institute for Biomechanics, ETH Zurich, Zurich, Switzerland

²Department of Osteoporosis, Inselspital, Bern University Hospital, University of Bern, Switzerland

³ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland

⁴Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, United States

⁵Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, United States

Abstract and keywords

Background: Recent applications of high-resolution peripheral quantitative computed tomography (HR-pQCT) have demonstrated that changes in local bone remodelling can be quantified in vivo using longitudinal three-dimensional image registration. However, certain emerging applications, such as fracture healing and joint analysis, require larger multi-stack scan regions that can result in stack shift image artifacts. These artifacts can be detrimental to the accurate alignment of the bone structure across multiple timepoints. The purpose of this study was to establish a multi-stack registration protocol for evaluating longitudinal HR-pQCT images and to assess the accuracy and precision error in comparison with measures obtained using previously established three-dimensional longitudinal registration.

Methods: Three same day multi-stack HR-pQCT scans of the radius (2 stacks in length) and tibia (3 stacks in length) were obtained from 39 healthy individuals who participated in a previous reproducibility study. A fully automated multi-stack registration algorithm was developed to re-align stacks within a scan by leveraging slight offsets between longitudinal scans. Stack shift severity before and after registration was quantified using a newly proposed stack-shift severity score. The false discovery rate for bone remodelling events and precision error of bone morphology and micro-finite element analysis parameters were compared between longitudinally registered scans with and without the addition of multi-stack registration.

Results: Most scans (82 %) improved in stack alignment or maintained the lowest stack shift severity score when multi-stack registration was implemented. The false discovery rate of bone remodelling events significantly decreased after multi-stack registration, resulting in median false detection of bone formation and resorption fractions between 3.2 to 7.5 % at the radius and 3.4 to 5.3 % at the tibia. Further, precision error was significantly reduced or remained unchanged in all standard bone morphology and micro-finite element analysis parameters, except for total and trabecular cross-sectional areas.

Conclusion: Multi-stack registration is an effective strategy for accurately aligning multi-stack HR-pQCT scans without modification of the image acquisition protocol. The algorithm presented here is a viable approach for performing accurate morphological analysis on multi-stack HR-pQCT scans, particularly for advanced application investigating local bone remodelling in vivo.

Keywords: High resolution peripheral quantitative computed tomography; Bone microarchitecture; Image registration; Bone remodelling; Precision

Links

DOI: 10.1016/j.bone.2023.116893

PubMed: 37666441

WoS: 001076714800001

History

Received: 2023-05-15

Revised: 2023-08-14

Accepted: 2023-09-1

Online: 2023-09-3

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