Over Time RF Fitting for Jitter Free 3D Vertebra Reconstruction from Video Fluoroscopy
Authors: Ioannidis, I. and Nait-Charif, H.
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 11679 LNCS
Pages: 49-61
eISSN: 1611-3349
ISBN: 9783030298906
ISSN: 0302-9743
DOI: 10.1007/978-3-030-29891-3_5
Abstract:Over the past decades, there has been an increasing interest in spine kinematics and various approaches have been proposed on how to analyse spine kinematics. Amongst all, emphasis has been given to both the shape of the individual vertebrae as well as the overall spine curvature as a means of providing accurate and valid spinal condition diagnosis. Traditional invasive methods cannot accurately delineate the intersegmental motion of the spine vertebrae. On the contrary, capturing and measuring spinal motion via the non-invasive fluoroscopy has been a popular technique choice because of its low incurred patient radiation exposure nature. In general, image-based 3D reconstruction methods focus on static spine instances. However, even the ones analysing sequences yield in unstable and jittery animations of the reconstructed spine. In this paper, we address this issue using a novel approach to robustly reconstruct and rigidly derive a shape with no inter-frame variations. This is to produce animations that are jitter free across our sequence based on fluoroscopy video. Our main contributions are (1) retaining the shape of the solid vertebrae across the frame range, (2) helping towards a more accurate image segmentation even when there’s a limited training set. We show our pipeline’s success by reconstructing and comparing 3D animations of the lumbar spine from a corresponding fluoroscopic video.
https://eprints.bournemouth.ac.uk/33740/
Source: Scopus
Over Time RF Fitting for Jitter Free 3D Vertebra Reconstruction from Video Fluoroscopy
Authors: Ioannidis, I. and Nait-Charif, H.
Journal: COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2019, PT II
Volume: 11679
Pages: 49-61
eISSN: 1611-3349
ISBN: 978-3-030-29890-6
ISSN: 0302-9743
DOI: 10.1007/978-3-030-29891-3_5
https://eprints.bournemouth.ac.uk/33740/
Source: Web of Science (Lite)
Over time RF fitting for Jitter Free 3D Vertebra Reconstruction from Video Fluoroscopy
Authors: Ioannidis, I. and Nait-Charif, H.
Conference: Computer Analysis of Images and Patterns
Dates: 3 September-5 July 2019
Journal: Springer LNCS
Publisher: Springer LNCS
ISSN: 2095-2228
Abstract:Over the past decades, there has been an increasing interest in spine kinematics.
Various approaches have been proposed on how to observe and analyse spine kinematics from a computer vision perspective. Amongst all, emphasis has been given to both the shape of the individual vertebrae as well as the overall spine curvature as a means of providing accurate and valid spinal condition diagnosis.
Traditional invasive methods cannot accurately delineate the intersegmental motion of the spine vertebrae. On the contrary, capturing and measuring spinal motion via the non-invasive fluoroscopy has been a popular technique choice because of its low incurred patient radiation exposure nature.
In general, image-based and other reconstruction methods target individual frames and focus on static spine instances. However, even the ones analysing sequences yield in unstable and jittery animations of the reconstructed spine. In this report, we address this issue using a novel approach to robustly reconstruct and rigidly derive a shape with no inter-frame variations. This is to produce animations that are jitter free across our sequence based on fluoroscopy video.
Our main contributions are 1) retaining the shape of the solid vertebrae across the frame range, 2) helping towards a more accurate image segmentation even when there's a limited training set. We show our pipeline's success by reconstructing and comparing 3D animations of the lumbar spine from a corresponding fluoroscopic video.
https://eprints.bournemouth.ac.uk/33740/
Source: Manual
Over Time RF Fitting for Jitter Free 3D Vertebra Reconstruction from Video Fluoroscopy.
Authors: Ioannidis, I. and Nait-Charif, H.
Editors: Vento, M. and Percannella, G.
Journal: CAIP (2)
Volume: 11679
Pages: 49-61
Publisher: Springer
ISBN: 978-3-030-29890-6
https://eprints.bournemouth.ac.uk/33740/
https://doi.org/10.1007/978-3-030-29891-3
Source: DBLP
Over time RF fitting for Jitter Free 3D Vertebra Reconstruction from Video Fluoroscopy
Authors: Ioannidis, I. and Nait-Charif, H.
Conference: Computer Analysis of Images and Patterns
Publisher: Springer LNCS
ISSN: 2095-2228
Abstract:Over the past decades, there has been an increasing interest in spine kinematics. Various approaches have been proposed on how to observe and analyse spine kinematics from a computer vision perspective. Amongst all, emphasis has been given to both the shape of the individual vertebrae as well as the overall spine curvature as a means of providing accurate and valid spinal condition diagnosis. Traditional invasive methods cannot accurately delineate the intersegmental motion of the spine vertebrae. On the contrary, capturing and measuring spinal motion via the non-invasive fluoroscopy has been a popular technique choice because of its low incurred patient radiation exposure nature. In general, image-based and other reconstruction methods target individual frames and focus on static spine instances. However, even the ones analysing sequences yield in unstable and jittery animations of the reconstructed spine. In this report, we address this issue using a novel approach to robustly reconstruct and rigidly derive a shape with no inter-frame variations. This is to produce animations that are jitter free across our sequence based on fluoroscopy video. Our main contributions are 1) retaining the shape of the solid vertebrae across the frame range, 2) helping towards a more accurate image segmentation even when there's a limited training set. We show our pipeline's success by reconstructing and comparing 3D animations of the lumbar spine from a corresponding fluoroscopic video.
https://eprints.bournemouth.ac.uk/33740/
Source: BURO EPrints