Sensitivity improvement of a molecular imaging technique based on magnetic nanoparticles

Ishihara, Yasutoshi; Kuwabara, Tsuyoshi; Wadamori, Naoki

doi:10.1117/12.878127

Cited by 6 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…R ECENTLY, magnetic particle imaging (MPI) has been proposed as an attractive noninvasive diagnostic procedure [1]- [8]. However, in conventional image reconstruction methods, due to either noise or the reconstruction method itself, the reconstructed image quality degrades.…”

Section: Introductionmentioning

confidence: 99%

Simulation Study on Iterative Reconstruction Method for Time-Correlation Magnetic Particle Imaging With Continuous Trajectory Scan

et al. 2015

Self Cite

View full text Add to dashboard Cite

Magnetic particle imaging (MPI) is a medical imaging technology suitable for noninvasive diagnostics. However, in conventional image reconstruction methods, due to either noise or the reconstruction method itself, the reconstructed image quality degrades. In order to suppress this problem, we improved the time-correlation MPI method that we had previously proposed. Specifically, this method iteratively corrects image blurring by reducing the difference between the observed signals from magnetic nanoparticles and the analytically calculated waveforms for the reconstructed image generated with the time-correlation method. Using numerical simulation, we evaluate the effectiveness of this method in conjunction with the continuous scan technique, which makes fast data acquisition possible.Index Terms-Image reconstruction, iterative algorithm, magnetic particle imaging (MPI), molecular imaging.

show abstract

Section: Introductionmentioning

confidence: 99%

Simulation Study on Iterative Reconstruction Method for Time-Correlation Magnetic Particle Imaging With Continuous Trajectory Scan

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, a reconstructed image with the correct distribution of MNPs may not be obtained when the MNPs are distributed continuously. This is because the proposed method acts as an intense high-pass filter against the reconstructed image [6], [10].…”

Section: Introductionmentioning

confidence: 99%

Correlation-Based Image Reconstruction Methods for Magnetic Particle Imaging

Ishihara

Kuwabara

Honma

et al. 2012

IEICE Trans. Inf. & Syst.

Self Cite

View full text Add to dashboard Cite

SUMMARYMagnetic particle imaging (MPI), in which the nonlinear interaction between internally administered magnetic nanoparticles (MNPs) and electromagnetic waves irradiated from outside of the body is utilized, has attracted attention for its potential to achieve early diagnosis of diseases such as cancer. In MPI, the local magnetic field distribution is scanned, and the magnetization signal from MNPs within a selected region is detected. However, the signal sensitivity and image resolution are degraded by interference from magnetization signals generated by MNPs outside of the selected region, mainly because of imperfections (limited gradients) in the local magnetic field distribution. Here, we propose new methods based on correlation information between the observed signal and the system function-defined as the interaction between the magnetic field distribution and the magnetizing properties of MNPs. We performed numerical analyses and found that, although the images were somewhat blurred, image artifacts could be significantly reduced and accurate images could be reconstructed without the inverse-matrix operation used in conventional image reconstruction methods.

show abstract

“…However, a reconstructed image with the correct distribution of MNPs may not be obtained when the MNPs are distributed continuously. This is because the abovementioned proposed method acts as an intense high-pass filter against the reconstructed image (Ishihara & Kusayama, 2011). …”

Section: Introductionmentioning

confidence: 99%