Name
Abstract | ||
|---|---|---|
We acquire the first experimental 3-D tomographic images with magnetic particle imaging (MPI) using projection reconstruction methodology, which is similar to algorithms employed in X-ray computed tomography. The primary advantage of projection reconstruction methods is an order of magnitude increase in signal-to-noise ratio (SNR) due to averaging. We first derive the point spread function, resolution, number of projections required, and the SNR gain in projection reconstruction MPI. We then design and construct the first scanner capable of gathering the necessary data for nonaliased projection reconstruction and experimentally verify our mathematical predictions. We demonstrate that filtered backprojection in MPI is experimentally feasible and illustrate the SNR and resolution improvements with projection reconstruction. Finally, we show that MPI is capable of producing three dimensional imaging volumes in both phantoms and postmortem mice. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TMI.2012.2227121 | Medical Imaging, IEEE Transactions |
Keywords | Field | DocType |
biomedical MRI,computerised tomography,data acquisition,image reconstruction,image resolution,magnetic particles,medical image processing,optical transfer function,phantoms,X-ray computed tomography,data gathering,experimental 3D tomographic image acquisition,filtered backprojection,image resolution,mathematical predictions,nonaliased projection reconstruction,phantoms,point spread function,postmortem mice,projection reconstruction magnetic particle imaging,signal-to-noise ratio,three-dimensional imaging volumes,Biomedical imaging,field free line (FFL),filtered backprojection,image reconstruction,magnetic particle imaging (MPI),magnetic particles,projection reconstruction | Magnetic particle imaging,Iterative reconstruction,Computer vision,Tomographic reconstruction,Optical transfer function,Computer science,Scanner,Artificial intelligence,Point spread function,Whole body imaging,Image resolution | Journal |
Volume | Issue | ISSN |
32 | 2 | 0278-0062 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Justin J. Konkle | 1 | 18 | 2.38 |
| Patrick W Goodwill | 2 | 0 | 0.34 |
| Oscar M Carrasco-Zevallos | 3 | 0 | 0.34 |
| Steven M Conolly | 4 | 0 | 0.34 |