Spinal Pain Relief Procedures With the Assistance of the Mri-Updated Statistical Shape Model

Spinal Pain Relief Procedures With the Assistance of the Mri-Updated Statistical Shape Model Publisher Pubmed

Alimohamadi Gilakjan S^{1, 2} ; Majedi H^{3, 4} ; Makki Abadi B¹ ; Ahmadian A^{1, 2}

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1. Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
2. Image-Guided Intervention Group, Research Centre of Biomedical Technology and Robotics (RCBTR), Tehran University of Medical Sciences, Tehran, Iran
3. Department of Anesthesiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
4. Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran

Source: International Journal of Medical Robotics and Computer Assisted Surgery Published:2020

Abstract

Background: Updating the statistical shape model (SSM) used in image guidance systems for the treatment of back pain using pre-op computed tomography (CT) and intra-op ultrasound (US) is challenging due to the scarce availability of pre-op images and the low resolution of the two imaging modalities. Methods: A new approach is proposed here to update SSMs based on the sparse representation of the preoperative MRI images of patients as well as CT images, followed by displaying the injection needle and 3D tracking view of the patients' spine. Results: The statistical analysis shows that updating the SSM using the patients' available MRI images (in more than 95% of the cases) instead of CT images (in less than 5%) will help maintain the required accuracy of needle injection based on the evaluation of injection in different parts of the phantom. Conclusion: The results show that using the proposed model helps reduce the dosage and processing time significantly while maintaining the precision required for the pain procedures. © 2020 John Wiley & Sons, Ltd

Style	Citing Format
MLA	Alimohamadi Gilakjan S, et al.. "Spinal Pain Relief Procedures With the Assistance of the Mri-Updated Statistical Shape Model." International Journal of Medical Robotics and Computer Assisted Surgery, vol. 16, no. 3, 2020, pp. -.
APA	Alimohamadi Gilakjan S, Majedi H, Makki Abadi B, Ahmadian A (2020). Spinal Pain Relief Procedures With the Assistance of the Mri-Updated Statistical Shape Model. International Journal of Medical Robotics and Computer Assisted Surgery, 16(3), -.
Chicago	Alimohamadi Gilakjan S, Majedi H, Makki Abadi B, Ahmadian A. "Spinal Pain Relief Procedures With the Assistance of the Mri-Updated Statistical Shape Model." International Journal of Medical Robotics and Computer Assisted Surgery 16, no. 3 (2020): -.
Harvard	Alimohamadi Gilakjan S et al. (2020) 'Spinal Pain Relief Procedures With the Assistance of the Mri-Updated Statistical Shape Model', International Journal of Medical Robotics and Computer Assisted Surgery, 16(3), pp. -.
Vancouver	Alimohamadi Gilakjan S, Majedi H, Makki Abadi B, Ahmadian A. Spinal Pain Relief Procedures With the Assistance of the Mri-Updated Statistical Shape Model. International Journal of Medical Robotics and Computer Assisted Surgery. 2020;16(3):-.
BibTex	@article{ author = {Alimohamadi Gilakjan S and Majedi H and Makki Abadi B and Ahmadian A}, title = {Spinal Pain Relief Procedures With the Assistance of the Mri-Updated Statistical Shape Model}, journal = {International Journal of Medical Robotics and Computer Assisted Surgery}, volume = {16}, number = {3}, pages = {-}, year = {2020} }
RIS	TY - JOUR AU - Alimohamadi Gilakjan S AU - Majedi H AU - Makki Abadi B AU - Ahmadian A TI - Spinal Pain Relief Procedures With the Assistance of the Mri-Updated Statistical Shape Model JO - International Journal of Medical Robotics and Computer Assisted Surgery VL - 16 IS - 3 SP - EP - PY - 2020 ER -

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