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Technical Note: Four‐dimensional deformable digital phantom for MRI sequence development
- Source :
- Medical Physics. 48:5406-5413
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Purpose MR-guided radiotherapy has different requirements for the images than diagnostic radiology, thus requiring development of novel imaging sequences. MRI simulation is an excellent tool for optimizing these new sequences; however, currently available software does not provide all the necessary features. In this paper, we present a digital framework for testing MRI sequences that incorporates anatomical structure, respiratory motion, and realistic presentation of MR physics. Methods The extended Cardiac-Torso (XCAT) software was used to create T1 , T2 , and proton density maps that formed the anatomical structure of the phantom. Respiratory motion model was based on the XCAT deformation vector fields, modified to create a motion model driven by a respiration signal. MRI simulation was carried out with JEMRIS, an open source Bloch simulator. We developed an extension for JEMRIS, which calculates the motion of each spin independently, allowing for deformable motion. Results The performance of the framework was demonstrated through simulating the acquisition of a two-dimensional (2D) cine and demonstrating expected motion ghosts from T2 weighted spin echo acquisitions with different respiratory patterns. All simulations were consistent with behavior previously described in literature. Simulations with deformable motion were not more time consuming than with rigid motion. Conclusions We present a deformable four-dimensional (4D) digital phantom framework for MR sequence development. The framework incorporates anatomical structure, realistic breathing patterns, deformable motion, and Bloch simulation to achieve accurate simulation of MRI. This method is particularly relevant for testing novel imaging sequences for the purpose of MR-guided radiotherapy in lungs and abdomen.
- Subjects :
- Sequence
Phantoms, Imaging
Computer science
business.industry
Respiration
Physics::Medical Physics
Technical note
General Medicine
Magnetic Resonance Imaging
Signal
Imaging phantom
Motion (physics)
Motion
Software
Spin echo
Computer Simulation
Computer vision
Development (differential geometry)
Artificial intelligence
business
Subjects
Details
- ISSN :
- 24734209 and 00942405
- Volume :
- 48
- Database :
- OpenAIRE
- Journal :
- Medical Physics
- Accession number :
- edsair.doi.dedup.....b02a6a5f6df94475366fccac1f07b09b
- Full Text :
- https://doi.org/10.1002/mp.15036