共 21 条
A 3D printed phantom to assess MRI geometric distortion
被引:3
作者:
Ramachandran, Prabhakar
[1
,2
]
Noble, Christopher
[1
]
Langton, Christian
[3
,4
]
Perrett, Ben
[1
]
Cox, Joshua
[4
]
Chapman, Mike
[4
]
McGill, George
[5
]
机构:
[1] Princess Alexandra Hosp, Dept Radiat Oncol, Woolloongabba, Qld 4102, Australia
[2] Queensland Univ Technol, Sci & Engn Fac, Brisbane, Qld 4000, Australia
[3] Queensland Univ Technol, Fac Hlth, Clin Sci, Kelvin Grove, Qld 4059, Australia
[4] 3D One Australia Pty Ltd, Salisbury, Qld 41076, Australia
[5] Princess Alexandra Hosp, Biomed Tech Serv, Woolloongabba, Qld 4102, Australia
来源:
BIOMEDICAL PHYSICS & ENGINEERING EXPRESS
|
2021年
/
7卷
/
03期
关键词:
magnetic resonance imaging;
distortion;
3D-printing;
D O I:
10.1088/2057-1976/abeb7e
中图分类号:
R8 [特种医学];
R445 [影像诊断学];
学科分类号:
1002 ;
100207 ;
1009 ;
摘要:
Geometric distortions in magnetic resonance can introduce significant uncertainties into applications such as radiotherapy treatment planning and need to be assessed as part of a comprehensive quality assurance program. We report the design, fabrication, and imaging of a custom 3D printed unibody MR distortion phantom along with quantitative image analysis. Methods: The internal cavity of the phantom is an orthogonal three-dimensional planar lattice, composed of 3 mm diameter rods spaced equidistantly at a 20 mm centre-centre offset repeating along the X, Y, and Z axes. The phantom featured an overall length of 308.5 mm, a width of 246 mm, and a height of 264 mm with lines on the external surface for phantom positioning matched to external lasers. The MR phantom was 3D printed in Nylon-12 using an advancement on traditional selective laser sintering (SLS) (HP Jet Fusion 3D-4200 machine). The phantom was scanned on a Toshiba Aquilion CT scanner to check the integrity of the 3D print and correct for any resultant issues. The phantom was then filled with NiSO4 solution and scanned on a 3T PET-MR Siemens scanner for selected T1 and T2 sequences, from which distortion vectors were generated and analysed using in-house software written in Python. Results: All deviations of the node positions from the print design were less than 1 mm, with an average displacement of 0.228 mm. The majority of the deviations were smaller than the 0.692 mm pixel size for this dataset. Conclusion: A customised 3D printed MRI-phantom was successfully printed and tested for assessing geometric distortion on MRI scanners. 3D printed phantoms can be considered for clinics wishing to assess geometric distortions under specific conditions, but require resources for design, fabrication, commissioning, and verification.
引用
收藏
页数:9
相关论文