Design of a 3D printed coronary artery model for CT optimization. Issue 2 (May 2022)
- Record Type:
- Journal Article
- Title:
- Design of a 3D printed coronary artery model for CT optimization. Issue 2 (May 2022)
- Main Title:
- Design of a 3D printed coronary artery model for CT optimization
- Authors:
- Mørup, S.D.
Stowe, J.
Precht, H.
Gervig, M.H.
Foley, S. - Abstract:
- Abstract: Introduction: To design a custom phantom of the coronary arteries to optimize CT coronary angiography (CCTA) protocols. Methods: Characteristics of the left and right coronary arteries (mean Hounsfield Unit (HU) values and diameters) were collected from consecutive CCTA examinations (n = 43). Four different materials (two mixtures of glycerine, gelatine and water, pig hearts, Ecoflex™ silicone) were scanned inside a Lungman phantom using the CCTA protocol to find the closest model to in vivo data. A 3D printed model of the coronary artery tree was created using CCTA data by exporting a CT volume rendering into Autodesk Meshmixer™ software. The model was placed in an acid bath for 5 h, then covered in Ecoflex™, which was removed after drying. Both the Ecoflex™ and pig heart were later filled with a mixture of contrast (Visipaque 320 mg I/ml), NaCl and gelatin and scanned with different levels of tube current and iterative reconstruction (ASiR-V). Objective (HU, noise and size (vessel diameter) and subjective analysis were performed on all scans. Results: The gelatine mixtures had HU values of 130 and 129, Ecoflex™ 65 and the pig heart 56. At the different mA/ASiR-V levels the contrast filled Ecoflex™ had a mean HU 318 ± 4, noise 47±7HU and diameter of 4.4 mm. The pig heart had a mean HU of 209 ± 5, noise 38±4HU and a diameter of 4.4 mm. With increasing iterative reconstruction level the visualisation of the pig heart arteries decreased so no measurements could beAbstract: Introduction: To design a custom phantom of the coronary arteries to optimize CT coronary angiography (CCTA) protocols. Methods: Characteristics of the left and right coronary arteries (mean Hounsfield Unit (HU) values and diameters) were collected from consecutive CCTA examinations (n = 43). Four different materials (two mixtures of glycerine, gelatine and water, pig hearts, Ecoflex™ silicone) were scanned inside a Lungman phantom using the CCTA protocol to find the closest model to in vivo data. A 3D printed model of the coronary artery tree was created using CCTA data by exporting a CT volume rendering into Autodesk Meshmixer™ software. The model was placed in an acid bath for 5 h, then covered in Ecoflex™, which was removed after drying. Both the Ecoflex™ and pig heart were later filled with a mixture of contrast (Visipaque 320 mg I/ml), NaCl and gelatin and scanned with different levels of tube current and iterative reconstruction (ASiR-V). Objective (HU, noise and size (vessel diameter) and subjective analysis were performed on all scans. Results: The gelatine mixtures had HU values of 130 and 129, Ecoflex™ 65 and the pig heart 56. At the different mA/ASiR-V levels the contrast filled Ecoflex™ had a mean HU 318 ± 4, noise 47±7HU and diameter of 4.4 mm. The pig heart had a mean HU of 209 ± 5, noise 38±4HU and a diameter of 4.4 mm. With increasing iterative reconstruction level the visualisation of the pig heart arteries decreased so no measurements could be performed. Conclusion: The use of a 3D printed model of the arteries and casting with the Ecoflex™ silicone is the most suitable solution for a custom-designed phantom. Implications for practice: Custom designed phantoms using 3D printing technology enable cost effective optimisation of CT protocols. … (more)
- Is Part Of:
- Radiography. Volume 28:Issue 2(2022)
- Journal:
- Radiography
- Issue:
- Volume 28:Issue 2(2022)
- Issue Display:
- Volume 28, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 28
- Issue:
- 2
- Issue Sort Value:
- 2022-0028-0002-0000
- Page Start:
- 426
- Page End:
- 432
- Publication Date:
- 2022-05
- Subjects:
- Computed tomography -- Phantom -- Three-dimensional printing -- Iterative reconstruction -- Image quality -- Patient safety
Diagnostic imaging -- Periodicals
Radiotherapy -- Periodicals
Cancer -- Radiotherapy -- Periodicals
Diagnostic Imaging -- Periodicals
Neoplasms -- Periodicals
Radiotherapy -- Periodicals
Imagerie pour le diagnostic -- Périodiques
Radiothérapie -- Périodiques
Cancer -- Radiothérapie -- Périodiques
Electronic journals
616.0757 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10788174 ↗
http://www.radiographyonline.com/ ↗
http://www.harcourt-international.com/journals ↗
http://www.idealibrary.com/links/toc/radi/ ↗
http://www.clinicalkey.com/dura/browse/journalIssue/10788174 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/10788174 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/radiography/ ↗ - DOI:
- 10.1016/j.radi.2021.09.001 ↗
- Languages:
- English
- ISSNs:
- 1078-8174
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 7237.001000
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