1
|
Vallesi V, Shetty G, Moll M, Zweers P, Berger M, Christiaanse E, Pishgahi M, Pötzel T, Fiechter M, Zito GA, Verma RK. Development and validation of a practical solution for detecting motion artefacts in the EOS X-ray system. Sci Rep 2024; 14:4837. [PMID: 38418657 PMCID: PMC10902286 DOI: 10.1038/s41598-024-55373-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 02/22/2024] [Indexed: 03/02/2024] Open
Abstract
The EOS™2D/3D system is a low-dose, 3D imaging system that utilizes two perpendicular X-ray beams to create simultaneous frontal and lateral images of the body. This is a useful modality to assess spinal pathologies. However, due to the slow imaging acquisition time up to 25 s, motion artifacts (MA) frequently occur. These artifacts may not be distinguishable from pathological findings, such as scoliosis, and may impair the diagnostic process. The aim of this study was to design a method to detect MA in EOS X-ray. We retrospectively analyzed EOS imaging from 40 patients wearing a radiopaque reference device during imaging. We drew a straight vertical line along the reference device. We measured deviations from it to quantify MA, presenting these findings through descriptive statistics. For a subset of patients with high MA, acquisitions were repeated after giving specific instructions to stand still. For these patients, we compared MA between the two acquisitions. In our study, a substantial proportion of patients exhibited MA ≥ 1 mm, with 80% in frontal projections and 87.9% in lateral projections. In the subjects who received a second acquisition, MA was significantly lower in the second images. Our method allows for a precise detection of MA on EOS images through a simple, yet reliable solution. Our method may improve the reliability of spine measurements, and reduce the risk of wrong diagnosis due to low imaging quality.
Collapse
Affiliation(s)
- Vanessa Vallesi
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, CH, Switzerland
- Swiss Paraplegic Research, Nottwil, CH, Switzerland
| | - Ganesh Shetty
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, CH, Switzerland
| | - Michael Moll
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, CH, Switzerland
| | - Peter Zweers
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, CH, Switzerland
| | - Markus Berger
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, CH, Switzerland
| | - Ernst Christiaanse
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, CH, Switzerland
| | - Masoomeh Pishgahi
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, CH, Switzerland
| | - Tobias Pötzel
- Department of Spine Surgery, Swiss Paraplegic Center, Nottwil, CH, Switzerland
| | - Michael Fiechter
- Department of Spine Surgery, Swiss Paraplegic Center, Nottwil, CH, Switzerland
| | - Giuseppe A Zito
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, CH, Switzerland
- Swiss Paraplegic Research, Nottwil, CH, Switzerland
| | - Rajeev K Verma
- Department of Radiology, Swiss Paraplegic Centre, Nottwil, CH, Switzerland.
- Swiss Paraplegic Research, Nottwil, CH, Switzerland.
| |
Collapse
|
2
|
Chou D. Commentary: Emerging Technologies in Spinal Surgery: Ultra-Low Radiation Imaging Platforms. Oper Neurosurg (Hagerstown) 2021; 21:S46-S47. [PMID: 33294933 DOI: 10.1093/ons/opaa352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 08/30/2020] [Indexed: 11/14/2022] Open
Affiliation(s)
- Dean Chou
- Department of Neurosurgery, University of California San Francisco, San Francisco, California
| |
Collapse
|