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Visual aid for identifying vertebral landmarks in ultrasound
Author(s): Zachary Baum; Tamas Ungi; Andras Lasso; Ben Church; Christopher Schlenger; Gabor Fichtinger
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Paper Abstract

PURPOSE: Vertebral landmark identification with ultrasound is notoriously difficult. We propose to assist the user in identifying vertebral landmarks by overlaying a visual aid in the ultrasound image space during the identification process. METHODS: The operator first identifies a few salient landmarks. From those, a generic healthy spine model is deformably registered to the ultrasound space and superimposed on the images, providing visual aid to the operator in finding additional landmarks. The registration is re-computed with each identified landmark. A spatially tracked ultrasound system and associated software were developed. To evaluate the system, six operators identified vertebral landmarks using ultrasound images, and using ultrasound images paired with 3D spine visualizations. Operator performance and inter-operator variability were analyzed. Software usability was assessed following the study, through questionnaire. RESULTS: In assessing the effectiveness of 3D spine visualization in landmark identification, operators were significantly more successful in landmark identification using visualizations and ultrasound than with ultrasound only (82 [72 – 94] % vs 51 [37 – 67] %, respectively; p = 0.0012). Time to completion was higher using visualizations and ultrasound than with ultrasound only 842 [448 – 1136] s vs 612 [434 – 785] s, respectively; p = 0.0468). Operators felt that 3D visualizations helped them identify landmarks, and visualize the spine and vertebrae. CONCLUSION: A three-dimensional visual aid was developed to assist in vertebral landmark identification using a tracked ultrasound system by deformably registering and visualizing a healthy spine model in ultrasound space. Operators found the visual aids useful and they were able to identify significantly more vertebral landmarks than without it.

Paper Details

Date Published: 13 March 2018
PDF: 7 pages
Proc. SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 105760Z (13 March 2018); doi: 10.1117/12.2292820
Show Author Affiliations
Zachary Baum, Queen's Univ. (Canada)
Tamas Ungi, Queen's Univ. (Canada)
Andras Lasso, Queen's Univ. (Canada)
Ben Church, Queen's Univ. (Canada)
Christopher Schlenger, Premier Chiropractic (United States)
Gabor Fichtinger, Queen's Univ. (Canada)


Published in SPIE Proceedings Vol. 10576:
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Robert J. Webster, Editor(s)

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