Author
Lasse Riis Østergaaard
Bio: Lasse Riis Østergaaard is an academic researcher from Aalborg University. The author has contributed to research in topics: Cervical vertebrae & Range of motion. The author has an hindex of 1, co-authored 1 publications receiving 10 citations.
Topics: Cervical vertebrae, Range of motion
Papers
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TL;DR: This is the first report of quantified anti-directional cervical flexion and extension motion and it document that large proportions of anti- Directional cervical Flexion and Extension motions were normal.
13 citations
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TL;DR: The direction of motion influenced the effects of experimental muscle pain on dynamic cervical joint kinematics, and deep muscle pain showed local effects on individual joints while superficial Muscle pain showed global effects spread to all joints.
12 citations
TL;DR: The reliability of a rigid and reliable analysis methodology for cervical motion using videofluoroscopic images, representing the entire range of motion during flexion and extension, from the neutral position to the end-range in the sagittal plane, is demonstrated.
10 citations
TL;DR: The cervical interspinous ligament pain redistributed anti‐directional motion between C4/C5 and C2/C3 during dynamic extension and decreased pressure pain sensitivity over the left C2 /C3 facet joint.
9 citations
TL;DR: The idea that cervical joints repeat their motion accurately is supported, after the first study to report the within‐day and between‐day joint motion angle differences of repeated cervical flexion and extension.
8 citations
11 Jun 2019
TL;DR: A vertebral segmentation approach to automatically identify the vertebral landmarks for cervical joint motion analysis using videofluoroscopy that does not require large amounts of data for training, eliminates the necessity for manual annotations, and allows for real-time intervertebral motion analysis of the cervical spine.
Abstract: Real-time motion assessment of the cervical spine provides an understanding of its mechanics and reveals abnormalities in its motion patterns. In this paper we propose a vertebral segmentation approach to automatically identify the vertebral landmarks for cervical joint motion analysis using videofluoroscopy. Our method matches a template to the vertebral bodies, identified using two parallel segmentation approaches, and validates the results through comparison to manually annotated landmarks. The algorithm identified the vertebral corners with an average detection error under five pixels in the C3–C6 vertebrae, with the lowest average error of 1.65 pixels in C4. C7 yielded the largest average error of 6.15 pixels. No significant difference was observed between the intervertebral angles computed using the manually annotated and automatically detected landmarks (\(p>0.05\)). The proposed method does not require large amounts of data for training, eliminates the necessity for manual annotations, and allows for real-time intervertebral motion analysis of the cervical spine.
6 citations