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Evaluation of a novel elastic registration algorithm for spinal imaging data - a pilot clinical study

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Evaluation of a novel elastic registration algorithm for spinal imaging data - a pilot clinical study. / Rashad, Ashkan; Heiland, Max; Hiepe, Patrick; Nasirpour, Alireza; Rendenbach, Carsten; Keuchel, Jens; Regier, Marc; Al-Dam, Ahmed.

In: INT J MED ROBOT COMP, Vol. 15, No. 3, 06.2019, p. e1991.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Rashad, A, Heiland, M, Hiepe, P, Nasirpour, A, Rendenbach, C, Keuchel, J, Regier, M & Al-Dam, A 2019, 'Evaluation of a novel elastic registration algorithm for spinal imaging data - a pilot clinical study', INT J MED ROBOT COMP, vol. 15, no. 3, pp. e1991. https://doi.org/10.1002/rcs.1991

APA

Rashad, A., Heiland, M., Hiepe, P., Nasirpour, A., Rendenbach, C., Keuchel, J., Regier, M., & Al-Dam, A. (2019). Evaluation of a novel elastic registration algorithm for spinal imaging data - a pilot clinical study. INT J MED ROBOT COMP, 15(3), e1991. https://doi.org/10.1002/rcs.1991

Vancouver

Rashad A, Heiland M, Hiepe P, Nasirpour A, Rendenbach C, Keuchel J et al. Evaluation of a novel elastic registration algorithm for spinal imaging data - a pilot clinical study. INT J MED ROBOT COMP. 2019 Jun;15(3):e1991. https://doi.org/10.1002/rcs.1991

Bibtex

@article{70c2285dc44742bb8e936750510e2919,
title = "Evaluation of a novel elastic registration algorithm for spinal imaging data - a pilot clinical study",
abstract = "BACKGROUND: Rigid image coregistration is an established technique that allows spatial aligning. However, rigid fusion is prone to deformation of the imaged anatomies. In this work, a novel fully automated elastic image registration method is evaluated.METHODS: Cervical CT and MRI data of 10 patients were evaluated. The MRI was acquired with the patient in neutral, flexed, and rotated head position. Vertebrawise rigid fusions were performed to transfer bony landmarks for each vertebra from the CT to the MRI space serving as a reference.RESULTS: Elastic fusion of 3D MRI data showed the highest image registration accuracy (target registration error of 3.26 mm with 95% confidence). Further, an elastic fusion of 2D axial MRI data (<4.75 mm with 95% c.) was more reliable than for 2D sagittal sequences (<6.02 mm with 95% c.).CONCLUSIONS: The novel method enables elastic MRI-to-CT image coregistration for cervical indications with changes of the head position.",
keywords = "Journal Article",
author = "Ashkan Rashad and Max Heiland and Patrick Hiepe and Alireza Nasirpour and Carsten Rendenbach and Jens Keuchel and Marc Regier and Ahmed Al-Dam",
note = "This article is protected by copyright. All rights reserved.",
year = "2019",
month = jun,
doi = "10.1002/rcs.1991",
language = "English",
volume = "15",
pages = "e1991",
journal = "INT J MED ROBOT COMP",
issn = "1478-5951",
publisher = "John Wiley and Sons Ltd",
number = "3",

}

RIS

TY - JOUR

T1 - Evaluation of a novel elastic registration algorithm for spinal imaging data - a pilot clinical study

AU - Rashad, Ashkan

AU - Heiland, Max

AU - Hiepe, Patrick

AU - Nasirpour, Alireza

AU - Rendenbach, Carsten

AU - Keuchel, Jens

AU - Regier, Marc

AU - Al-Dam, Ahmed

N1 - This article is protected by copyright. All rights reserved.

PY - 2019/6

Y1 - 2019/6

N2 - BACKGROUND: Rigid image coregistration is an established technique that allows spatial aligning. However, rigid fusion is prone to deformation of the imaged anatomies. In this work, a novel fully automated elastic image registration method is evaluated.METHODS: Cervical CT and MRI data of 10 patients were evaluated. The MRI was acquired with the patient in neutral, flexed, and rotated head position. Vertebrawise rigid fusions were performed to transfer bony landmarks for each vertebra from the CT to the MRI space serving as a reference.RESULTS: Elastic fusion of 3D MRI data showed the highest image registration accuracy (target registration error of 3.26 mm with 95% confidence). Further, an elastic fusion of 2D axial MRI data (<4.75 mm with 95% c.) was more reliable than for 2D sagittal sequences (<6.02 mm with 95% c.).CONCLUSIONS: The novel method enables elastic MRI-to-CT image coregistration for cervical indications with changes of the head position.

AB - BACKGROUND: Rigid image coregistration is an established technique that allows spatial aligning. However, rigid fusion is prone to deformation of the imaged anatomies. In this work, a novel fully automated elastic image registration method is evaluated.METHODS: Cervical CT and MRI data of 10 patients were evaluated. The MRI was acquired with the patient in neutral, flexed, and rotated head position. Vertebrawise rigid fusions were performed to transfer bony landmarks for each vertebra from the CT to the MRI space serving as a reference.RESULTS: Elastic fusion of 3D MRI data showed the highest image registration accuracy (target registration error of 3.26 mm with 95% confidence). Further, an elastic fusion of 2D axial MRI data (<4.75 mm with 95% c.) was more reliable than for 2D sagittal sequences (<6.02 mm with 95% c.).CONCLUSIONS: The novel method enables elastic MRI-to-CT image coregistration for cervical indications with changes of the head position.

KW - Journal Article

U2 - 10.1002/rcs.1991

DO - 10.1002/rcs.1991

M3 - SCORING: Journal article

C2 - 30758130

VL - 15

SP - e1991

JO - INT J MED ROBOT COMP

JF - INT J MED ROBOT COMP

SN - 1478-5951

IS - 3

ER -