[www] [BibTex]

Note: article

Abstract: We developed a method to characterize the imaging performance of {MPI} tracers from virtual {MPI} measurements that can be synthesized using measurement data from a Magnetic Particle Spectrometer ({MPS}) at different static magnetic field offsets. {MPI} system functions were obtained from measurements on a {FeraSpin}™ R ({nanoPET} {GmbH}, Berlin) sample in a 2D {MPS} comprising two excitation coils and two receive coils. Software phantoms of spatial {MPI} tracer distributions with different size and shape were constructed. With the measured {MPI} system function, a synthetic {MPI} measurement of the software phantoms was simulated. By adding noise to the virtual {MPI} data, the detection limit of each harmonic in dependence of the noise level was obtained. An {MPI} reconstruction of the virtual tracer distribution was performed using the virtual {MPI} data as input. By comparing the reconstructed images with the actual software phantoms, we obtained the spatial resolution of {MPI} of the investigated tracers. This method might help predicting the image resolution for real {MPI} setups. Our characterization method provides a valuable link between pure spectroscopic characterization and time consuming {MPI} phantom experiments.

[www]

Note: article

Abstract: We developed a method to characterize the imaging performance of {MPI} tracers from virtual {MPI} measurements that can be synthesized using measurement data from a Magnetic Particle Spectrometer ({MPS}) at different static magnetic field offsets. {MPI} system functions were obtained from measurements on a {FeraSpin}™ R ({nanoPET} {GmbH}, Berlin) sample in a 2D {MPS} comprising two excitation coils and two receive coils. Software phantoms of spatial {MPI} tracer distributions with different size and shape were constructed. With the measured {MPI} system function, a synthetic {MPI} measurement of the software phantoms was simulated. By adding noise to the virtual {MPI} data, the detection limit of each harmonic in dependence of the noise level was obtained. An {MPI} reconstruction of the virtual tracer distribution was performed using the virtual {MPI} data as input. By comparing the reconstructed images with the actual software phantoms, we obtained the spatial resolution of {MPI} of the investigated tracers. This method might help predicting the image resolution for real {MPI} setups. Our characterization method provides a valuable link between pure spectroscopic characterization and time consuming {MPI} phantom experiments.

[www] [BibTex]

Note: article

Abstract: We developed a method to characterize the imaging performance of {MPI} tracers from virtual {MPI} measurements that can be synthesized using measurement data from a Magnetic Particle Spectrometer ({MPS}) at different static magnetic field offsets. {MPI} system functions were obtained from measurements on a {FeraSpin}™ R ({nanoPET} {GmbH}, Berlin) sample in a 2D {MPS} comprising two excitation coils and two receive coils. Software phantoms of spatial {MPI} tracer distributions with different size and shape were constructed. With the measured {MPI} system function, a synthetic {MPI} measurement of the software phantoms was simulated. By adding noise to the virtual {MPI} data, the detection limit of each harmonic in dependence of the noise level was obtained. An {MPI} reconstruction of the virtual tracer distribution was performed using the virtual {MPI} data as input. By comparing the reconstructed images with the actual software phantoms, we obtained the spatial resolution of {MPI} of the investigated tracers. This method might help predicting the image resolution for real {MPI} setups. Our characterization method provides a valuable link between pure spectroscopic characterization and time consuming {MPI} phantom experiments.

[www]

Note: article

Abstract: We developed a method to characterize the imaging performance of {MPI} tracers from virtual {MPI} measurements that can be synthesized using measurement data from a Magnetic Particle Spectrometer ({MPS}) at different static magnetic field offsets. {MPI} system functions were obtained from measurements on a {FeraSpin}™ R ({nanoPET} {GmbH}, Berlin) sample in a 2D {MPS} comprising two excitation coils and two receive coils. Software phantoms of spatial {MPI} tracer distributions with different size and shape were constructed. With the measured {MPI} system function, a synthetic {MPI} measurement of the software phantoms was simulated. By adding noise to the virtual {MPI} data, the detection limit of each harmonic in dependence of the noise level was obtained. An {MPI} reconstruction of the virtual tracer distribution was performed using the virtual {MPI} data as input. By comparing the reconstructed images with the actual software phantoms, we obtained the spatial resolution of {MPI} of the investigated tracers. This method might help predicting the image resolution for real {MPI} setups. Our characterization method provides a valuable link between pure spectroscopic characterization and time consuming {MPI} phantom experiments.

[www]

Note: article

Abstract: We developed a method to characterize the imaging performance of {MPI} tracers from virtual {MPI} measurements that can be synthesized using measurement data from a Magnetic Particle Spectrometer ({MPS}) at different static magnetic field offsets. {MPI} system functions were obtained from measurements on a {FeraSpin}™ R ({nanoPET} {GmbH}, Berlin) sample in a 2D {MPS} comprising two excitation coils and two receive coils. Software phantoms of spatial {MPI} tracer distributions with different size and shape were constructed. With the measured {MPI} system function, a synthetic {MPI} measurement of the software phantoms was simulated. By adding noise to the virtual {MPI} data, the detection limit of each harmonic in dependence of the noise level was obtained. An {MPI} reconstruction of the virtual tracer distribution was performed using the virtual {MPI} data as input. By comparing the reconstructed images with the actual software phantoms, we obtained the spatial resolution of {MPI} of the investigated tracers. This method might help predicting the image resolution for real {MPI} setups. Our characterization method provides a valuable link between pure spectroscopic characterization and time consuming {MPI} phantom experiments.

[www] [BibTex]

Note: article

Abstract: We developed a method to characterize the imaging performance of {MPI} tracers from virtual {MPI} measurements that can be synthesized using measurement data from a Magnetic Particle Spectrometer ({MPS}) at different static magnetic field offsets. {MPI} system functions were obtained from measurements on a {FeraSpin}™ R ({nanoPET} {GmbH}, Berlin) sample in a 2D {MPS} comprising two excitation coils and two receive coils. Software phantoms of spatial {MPI} tracer distributions with different size and shape were constructed. With the measured {MPI} system function, a synthetic {MPI} measurement of the software phantoms was simulated. By adding noise to the virtual {MPI} data, the detection limit of each harmonic in dependence of the noise level was obtained. An {MPI} reconstruction of the virtual tracer distribution was performed using the virtual {MPI} data as input. By comparing the reconstructed images with the actual software phantoms, we obtained the spatial resolution of {MPI} of the investigated tracers. This method might help predicting the image resolution for real {MPI} setups. Our characterization method provides a valuable link between pure spectroscopic characterization and time consuming {MPI} phantom experiments.