2020
DOI: 10.1007/978-3-030-50120-4_7
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Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework

Abstract: Different pathologies of the vertebral column, such as scoliosis, require quantification of the mobility of individual vertebrae or of curves of the spine for treatment planning. Without the necessary mobility, vertebrae can not be safely re-positioned and fused. The current clinical workflow consists of radiologists or surgeons estimating angular differences of neighbouring vertebrae from different x-ray images. This procedure is time consuming and prone to inaccuracy. The proposed method automates this quant… Show more

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Cited by 5 publications
(2 citation statements)
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“…: For this task, Forsberg et al proposed splitting registered sub-volumes of the patient's spine and atlas with non-rigid transformations, which evidently ignored the rigid nature of the vertebrae [4]. Drobny et al proposed registering the spine with a poly-rigid transformation model thus ensuring a rigid transformation of the vertebrae, but evaluating their approach only on synthetic data [2]. We follow a similar approach, however tackle the issue of varying patient sizes and use a simpler method for deforming nonvertebra voxels.…”
Section: Methodsmentioning
confidence: 99%
“…: For this task, Forsberg et al proposed splitting registered sub-volumes of the patient's spine and atlas with non-rigid transformations, which evidently ignored the rigid nature of the vertebrae [4]. Drobny et al proposed registering the spine with a poly-rigid transformation model thus ensuring a rigid transformation of the vertebrae, but evaluating their approach only on synthetic data [2]. We follow a similar approach, however tackle the issue of varying patient sizes and use a simpler method for deforming nonvertebra voxels.…”
Section: Methodsmentioning
confidence: 99%
“…Inter-organ relations can also provide contextual information for expert-driven and automated interpretation of medical images in applications such as radiotherapy planning, diagnosis, and treatment planning Fritscher et al (2014) and Si and Heng (2017) . Furthermore, multi-organ models can advantageously introduce statistical priors for complex periodic multi-structures, such as the spine, to apply non-rigid or poly-rigid image registration in intraoperative guidance imaging Drobny et al (2020) . However, inter-organ relations are either user-defined (e.g., Cerrolaza et al (2013) and Cerrolaza et al (2011) , limited by their generality and practicality for an arbitrary number of organs, or usually estimated in isolation by learning intra-organ variability, resulting in sub-optimal models Cerrolaza et al (2019) .…”
Section: Introductionmentioning
confidence: 99%