[논문]Development of an organ‐specific insert phantom generated using a 3D printer for investigations of cardiac computed tomography protocols

Abdullah, Kamarul A.; McEntee, Mark F.; Reed, Warren; Kench, Peter L.

doi:10.1002/jmrs.279

Development of an organ‐specific insert phantom generated using a 3D printer for investigations of cardiac computed tomography protocols 원문보기

Journal of medical radiation sciences, v.65 no.3, 2018년, pp.175 - 183

Abdullah, Kamarul A. (Discipline of Medical Radiation Sciences Faculty of Health Sciences The University of Sydney Lidcombe New South Wales Australia) , McEntee, Mark F. (Discipline of Medical Radiation Sciences Faculty of Health Sciences The University of Sydney Lidcombe New South Wales Australia) , Reed, Warren (Discipline of Medical Radiation Sciences Faculty of Health Sciences The University of Sydney Lidcombe New South Wales Australia) , Kench, Peter L. (Discipline of Medical Radiation Sciences Faculty of Health Sciences The University of Sydney Lidcombe New South Wales Australia)

Abstract ▼ AI-Helper

AbstractIntroductionAn ideal organ‐specific insert phantom should be able to simulate the anatomical features with appropriate appearances in the resultant computed tomography (CT) images. This study investigated a 3D printing technology to develop a novel and cost‐effective cardiac insert phantom derived from volumetric CT image datasets of anthropomorphic chest phantom.MethodsCardiac insert volumes were segmented from CT image datasets, derived from an anthropomorphic chest phantom of Lungman N‐01 (Kyoto Kagaku, Japan). These segmented datasets were converted to a virtual 3D‐isosurface of heart‐shaped shell, while two other removable inserts were included using computer‐aided design (CAD) software program. This newly designed cardiac insert phantom was later printed by using a fused deposition modelling (FDM) process via a Creatbot DM Plus 3D printer. Then, several selected filling materials, such as contrast media, oil, water and jelly, were loaded into designated spaces in the 3D‐printed phantom. The 3D‐printed cardiac insert phantom was positioned within the anthropomorphic chest phantom and 30 repeated CT acquisitions performed using a multi‐detector scanner at 120‐kVp tube potential. Attenuation (Hounsfield Unit, HU) values were measured and compared to the image datasets of real‐patient and Catphan® 500 phantom.ResultsThe output of the 3D‐printed cardiac insert phantom was a solid acrylic plastic material, which was strong, light in weight and cost‐effective. HU values of the filling materials were comparable to the image datasets of real‐patient and Catphan® 500 phantom.ConclusionsA novel and cost‐effective cardiac insert phantom for anthropomorphic chest phantom was developed using volumetric CT image datasets with a 3D printer. Hence, this suggested the printing methodology could be applied to generate other phantoms for CT imaging studies.

참고문헌 (32)

1 Oropallo W , Piegl LA . Ten challenges in 3D printing . Engineering with Computers 2015 ; 32 : 135 – 48 .
2 Leng S , Chen B , Vrieze T , et al. Construction of realistic phantoms from patient images and a commercial three‐dimensional printer . J Med Imaging (Bellingham) 2016 ; 3 : 033501 . 27429998

상세보기
3 Michalski MH , Ross JS , Practice M . The shape of things to come: 3D printing in medicine . Am Med Assoc 2014 ; 312 : 2213 – 4 .
4 Giannopoulos AA , Mitsouras D , Yoo SJ , Liu PP , Chatzizisis YS , Rybicki FJ . Applications of 3D printing in cardiovascular diseases . Nat Rev Cardiol 2016 ; 13 : 701 – 18 . 27786234

상세보기
5 Ebert LC , Thali MJ , Ross S . Getting in touch–3D printing in forensic imaging . Forensic Sci Int 2011 ; 211 : e1 – 6 . 21602004

상세보기
6 Miller BW , Moore JW , Barrett HH , et al. 3D printing in x‐ray and gamma‐ray imaging: A novel method for fabricating high‐density imaging apertures . Nucl Instrum Methods Phys Res A 2011 ; 659 : 262 – 8 . 22199414
7 Goyanes A , Det‐Amornrat U , Wang J , Basit AW , Gaisford S . 3D scanning and 3D printing as innovative technologies for fabricating personalized topical drug delivery systems . J Control Release 2016 ; 234 : 41 – 8 . 27189134

상세보기
8 Whiting BR , Hoeschen C , Solomon J , Bochud F , Samei E . Design of anthropomorphic textured phantoms for CT performance evaluation. Medical Imaging 2014: Physics of Medical Imaging ; 2014 .
9 Leng S , Yu L , Vrieze T , Kuhlmann J , Chen B , McCollough CH . Construction of realistic liver phantoms from patient images using 3D printer and its application in CT image quality assessment . Proc SPIE Int Soc Opt Eng 2015 ; 2015 : 94124E .
10 Madamesila J , McGeachy P , Villarreal Barajas JE , Khan R . Characterizing 3D printing in the fabrication of variable density phantoms for quality assurance of radiotherapy . Phys Med 2016 ; 32 : 242 – 7 . 26508016

상세보기
11 Kim MJ , Lee SR , Lee MY , et al. Characterization of 3D printing techniques: Toward patient specific quality assurance spine‐shaped phantom for stereotactic body radiation therapy . PLoS ONE 2017 ; 12 : e0176227 . 28472175

상세보기
12 Aurumskjold ML , Ydstrom K , Tingberg A , Soderberg M . Improvements to image quality using hybrid and model‐based iterative reconstructions: A phantom study . Acta Radiol 2017 ; 58 : 53 – 61 . 26924832

상세보기
13 Baek JH , Lee W , Chang KH , Chung JW , Park JH . Optimization of the scan protocol for the reduction of diaphragmatic motion artifacts depicted on CT angiography: A phantom study simulating pediatric patients with free breathing . Korean J Radiol 2009 ; 10 : 260 – 8 . 19412514

상세보기
14 Ghetti C , Ortenzia O , Serreli G . CT iterative reconstruction in image space: A phantom study . Phys Med 2012 ; 28 : 161 – 5 . 21497530

상세보기
15 Leng S , McGee K , Morris J , et al. Anatomic modeling using 3D printing: Quality assurance and optimization . 3D Print Med 2017 ; 3 : 1 – 14 . 30050978
16 Solomon J , Samei E . Quantum noise properties of CT images with anatomical textured backgrounds across reconstruction algorithms: FBP and SAFIRE . Med Phys 2014 ; 41 : 091908 . 25186395

상세보기
17 Fedorov A , Beichel R , Kalpathy‐Cramer J , et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network . Magn Reson Imaging 2012 ; 30 : 1323 – 41 . 22770690
18 Austen WG . A reporting system on patients evaluated for coronary artery disease . Circulation 1975 ; 51 : 5 – 40 . 1116248
19 Bae KT . Intravenous contrast medium administration and scan timing at CT: Considerations and approaches . Radiology 2010 ; 256 : 32 – 61 . 20574084

상세보기
20 Abdullah KA , McEntee MF , Reed W , Kench PL . Using 3D printed cardiac CT phantom for dose reduction and diagnostic image quality assessment . J Med Radiat Sci 2017 ; 64 : 93 – 105 .
21 Abdullah KA , McEntee MF , Reed W , Kench PL . Radiation dose and diagnostic image quality associated with iterative reconstruction in coronary CT angiography: A systematic review . J Med Imaging Radiat Oncol 2016 ; 60 : 459 – 68 . 27241506

상세보기
22 Willemink MJ , Takx RA , de Jong PA , et al. Computed tomography radiation dose reduction: Effect of different iterative reconstruction algorithms on image quality . J Comput Assist Tomogr 2014 ; 00 : 1 – 9 .
23 Guariglia S , Meliadò G , Zivelonghi E , Pinali L , Montemezzi S , Cavedon C . Dose reduction and image quality in CT examinations using an iterative reconstruction algorithm: A phantom study . Biomed Phys Eng Express 2015 ; 1 : 045203 .
24 Park EA , Lee W , Kim KW , et al. Iterative reconstruction of dual‐source coronary CT angiography: Assessment of image quality and radiation dose . Int J Cardiovasc Imaging 2012 ; 28 : 1775 – 86 . 22187198

상세보기
25 Tatsugami F , Matsuki M , Nakai G , et al. The effect of adaptive iterative dose reduction on image quality in 320‐detector row CT coronary angiography . Br J Radiol 2012 ; 85 : e378 – 82 . 22253355
26 Wang R , Schoepf UJ , Wu R , et al. CT coronary angiography: Image quality with sinogram‐affirmed iterative reconstruction compared with filtered back‐projection . Clin Radiol 2013 ; 68 : 272 – 8 . 22981731

상세보기
27 Yoo RE , Park EA , Lee W , et al. Image quality of adaptive iterative dose reduction 3D of coronary CT angiography of 640‐slice CT: Comparison with filtered back‐projection . Int J Cardiovasc Imaging 2013 ; 29 : 669 – 76 . 22923280

상세보기
28 Cademartiri F , Nieman K , van der Lugt A , et al. Intravenous contrast material administration at 16‐detector row helical CT coronary angiography: Test bolus versus bolus‐tracking technique . Radiology 2004 ; 233 : 817 – 23 . 15516601

상세보기
29 Utsunomiya D , Weigold WG , Weissman G , Taylor AJ . Effect of hybrid iterative reconstruction technique on quantitative and qualitative image analysis at 256‐slice prospective gating cardiac CT . Eur Radiol 2012 ; 22 : 1287 – 94 . 22200900

상세보기
30 Carrascosa P , Rodriguez‐Granillo GA , Capunay C , Deviggiano A . Low‐dose CT coronary angiography using iterative reconstruction with a 256‐slice CT scanner . World J Cardiol 2013 ; 5 : 382 – 6 . 24198908

상세보기
31 Fuchs TA , Stehli J , Bull S , et al. Coronary computed tomography angiography with model‐based iterative reconstruction using a radiation exposure similar to chest X‐ray examination . Eur Heart J 2014 ; 35 : 1131 – 6 . 24553723

상세보기
32 Ionita CN , Mokin M , Varble N , et al. Challenges and limitations of patient‐specific vascular phantom fabrication using 3D Polyjet printing . Proc SPIE Int Soc Opt Eng 2014 ; 9038 : 90380M .

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증

Development of an organ‐specific insert phantom generated using a 3D printer for investigations of cardiac computed tomography protocols 원문보기

Abstract ▼ AI-Helper

참고문헌 (32)

이 논문을 인용한 문헌

관련 콘텐츠

원문 보기

원문 URL 링크

오픈액세스(OA) 유형

이 논문과 함께 이용한 콘텐츠

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

선택된 텍스트