Journal of radiological science and technology (대한방사선기술학회지:방사선기술과학)

Korean Society of Radiological Science (대한방사선과학회)
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Development of Biopsy Assist Device on Computed Tomography Using 3D Printing Technology

3D 프린팅 기술을 이용한 전산화단층영상 기반 조직 생검 보조기구 개발

  • Jeong-Wan Kim (Department of Radiology, Yeouido ST. Mary's Hospital, Catholic University) ;
  • Youl-Hun Seoung (Department of Radiolocal Science, Graduate School of Health Science, Cheongju University)
  • 김정완 (가톨릭대학교 여의도성모병원 영상의학과) ;
  • 성열훈 (청주대학교 보건의료대학원 방사선학과)
  • Received : 2023.03.16
  • Accepted : 2023.04.04
  • Published : 2023.04.30
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Abstract

The purpose of this study was to develop an assist device that could correct and support patient position during biopsy on computed tomography (CT) using 3D printing technology. The development method was conducted in the order of 3D design, 3D output, intermediate evaluation for product, final assist device evaluation. The 3D design method was conducted in the order of prior research data survey, measurement, primary modeling, 3D printing, output evaluation, and supplementary modeling. The 3D output was the 3D printer (3DWOX 2X, Sindoh, Korea) with additive manufacturing technology and the polylactic acid (PLA) materials. At this time, the optimal strength was evaluated to infill degree of product as the 3D printing factors into 20%, 40%, 60%, and 80%. The intermediate evaluation and supplementation was measured noise in the region of interest (ROI) around the beam hardening artifact on the CT images. We used 128-channel MDCT (Discovery 75 HD, GE, USA) to scan with a slice thickness of 100 kVp, 150 mA, and 2.5 mm on the 3D printing product. We compared the surrounding noise of the final 3D printing product with the beginning of it. and then the strength of it according to the degree of infill was evaluated. As a result, the surrounding noise of the final and the early devices were measured at an average of 3.3 ± 0.5 HU and 7.1 ± 0.1 HU, respectively, which significantly reduced the noise of the final 3D printing product (p<0.001). We found that the percentage of infill according to the optimal strength was found to be 60%. Finally, development of assist devices for CT biopsy will be able to minimize artifacts and provide convenience to medical staff and patients.

Keywords

References

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