Optimization of a novel large field of view distortion phantom for MR-only treatment planning

被引:20
作者
Price, Ryan G. [1 ,3 ]
Knight, Robert A. [2 ]
Hwang, Ken-Pin [4 ]
Bayram, Ersin [5 ]
Nejad-Davarani, Siamak P. [1 ]
Glide-Hurst, Carri K. [1 ,3 ]
机构
[1] Henry Ford Hlth Syst, Dept Radiat Oncol, Detroit, MI 48202 USA
[2] Henry Ford Hlth Syst, NMR Lab, Dept Neurol, Detroit, MI USA
[3] Wayne State Univ, Sch Med, Dept Radiat Oncol, Detroit, MI 48202 USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Imaging Phys, Houston, TX 77030 USA
[5] GE Healthcare, MR Applicat & Workflow, Houston, TX USA
基金
美国国家卫生研究院;
关键词
distortion; gradient nonlinearity; MRI; phantom; spatial accuracy; GEOMETRIC DISTORTION; 3D SLICER; IMAGES; TOOLKIT; SCHEME;
D O I
10.1002/acm2.12090
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
Purpose: MR-only treatment planning requires images of high geometric fidelity, particularly for large fields of view (FOV). However, the availability of large FOV distortion phantoms with analysis software is currently limited. This work sought to optimize a modular distortion phantom to accommodate multiple bore configurations and implement distortion characterization in a widely implementable solution. Method and Materials: To determine candidate materials, 1.0 T MR and CT images were acquired of twelve urethane foam samples of various densities and strengths. Samples were precision-machined to accommodate 6 mm diameter paintballs used as landmarks. Final material candidates were selected by balancing strength, machinability, weight, and cost. Bore sizes and minimum aperture width resulting from couch position were tabulated from the literature (14 systems, 5 vendors). Bore geometry and couch position were simulated using MATLAB to generate machine-specific models to optimize the phantom build. Previously developed software for distortion characterization was modified for several magnet geometries (1.0 T, 1.5 T, 3.0 T), compared against previously published 1.0 T results, and integrated into the 3D Slicer application platform. Results: All foam samples provided sufficient MR image contrast with paintball landmarks. Urethane foam (compressive strength similar to 1000 psi, density similar to 20 lb/ft(3)) was selected for its accurate machinability and weight characteristics. For smaller bores, a phantom version with the following parameters was used: 15 foam plates, 55 x 55 x 37.5 cm(3) (LxWxH), 5,082 landmarks, and weight similar to 30 kg. To accommodate > 70 cm wide bores, an extended build used 20 plates spanning 55 x 55 x 50 cm(3) with 7,497 landmarks and weight similar to 44 kg. Distortion characterization software was implemented as an external module into 3D Slicer's plugin framework and results agreed with the literature. Conclusion: The design and implementation of a modular, extendable distortion phantom was optimized for several bore configurations. The phantom and analysis software will be available for multi-institutional collaborations and cross-validation trials to support MR-only planning.
引用
收藏
页码:51 / 61
页数:11
相关论文
共 30 条
[1]   ANALYSIS OF MACHINE-DEPENDENT AND OBJECT-INDUCED GEOMETRIC DISTORTION IN 2DFT MR IMAGING [J].
BAKKER, CJG ;
MOERLAND, MA ;
BHAGWANDIEN, R ;
BEERSMA, R .
MAGNETIC RESONANCE IMAGING, 1992, 10 (04) :597-608
[2]   Characterization, prediction, and correction of geometric distortion in 3 T MR images [J].
Baldwin, Lesley N. ;
Wachowicz, Keith ;
Thomas, Steven D. ;
Rivest, Ryan ;
Fallone, B. Gino .
MEDICAL PHYSICS, 2007, 34 (02) :388-399
[3]   A two-step scheme for distortion rectification of magnetic resonance images [J].
Baldwin, Lesley N. ;
Wachowicz, Keith ;
Fallone, B. Gino .
MEDICAL PHYSICS, 2009, 36 (09) :3917-3926
[4]   Detection and correction of geometric distortion in 3D MR images [J].
Breeuwer, M ;
Holden, M ;
Zylka, W .
MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3, 2001, 4322 :1110-1120
[5]   A TECHNIQUE FOR ACCURATE MAGNETIC-RESONANCE-IMAGING IN THE PRESENCE OF FIELD INHOMOGENEITIES [J].
CHANG, H ;
FITZPATRICK, JM .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1992, 11 (03) :319-329
[6]   The contribution of magnetic resonance imaging to the three-dimensional treatment planning of localized prostate cancer [J].
Debois, M ;
Oyen, R ;
Maes, F ;
Verswijvel, G ;
Gatti, G ;
Bosmans, H ;
Feron, M ;
Bellon, E ;
Kutcher, G ;
Van Poppel, H ;
Vanuytsel, L .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1999, 45 (04) :857-865
[7]   A complete distortion correction for MR images: I. Gradient warp correction [J].
Doran, SJ ;
Charles-Edwards, L ;
Reinsberg, SA ;
Leach, MO .
PHYSICS IN MEDICINE AND BIOLOGY, 2005, 50 (07) :1343-1361
[8]   3D Slicer as an image computing platform for the Quantitative Imaging Network [J].
Fedorov, Andriy ;
Beichel, Reinhard ;
Kalpathy-Cramer, Jayashree ;
Finet, Julien ;
Fillion-Robin, Jean-Christophe ;
Pujol, Sonia ;
Bauer, Christian ;
Jennings, Dominique ;
Fennessy, Fiona ;
Sonka, Milan ;
Buatti, John ;
Aylward, Stephen ;
Miller, James V. ;
Pieper, Steve ;
Kikinis, Ron .
MAGNETIC RESONANCE IMAGING, 2012, 30 (09) :1323-1341
[9]   Phantom-based characterization of distortion on a magnetic resonance imaging simulator for radiation oncology [J].
Huang, Ke ;
Cao, Yue ;
Baharom, Umar ;
Balter, James M. .
PHYSICS IN MEDICINE AND BIOLOGY, 2016, 61 (02) :774-790
[10]  
HWANG K, 2012, MED PHYS, V39, P3976