Recent Publications

Journal Publications
since 2024
[180974]
Title: Model-based Calibration and Image Reconstruction with Immobilized Nanoparticles.
Written by: H. Albers, F. Thieben, M. Boberg, K. Scheffler, T. Knopp, and T. Kluth
in: <em>International Journal on Magnetic Particle Imaging</em>. (2023).
Volume: <strong>9</strong>. Number: (1),
on pages: 1-5
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2023.2303002
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/592
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings, magneticfield, model-based

Abstract: The model-based reconstruction problem is still one of the key challenges in magnetic particle imaging (MPI) when using multi-dimensional Lissajous-type excitations. One aspect, which is often highlighted in the literature, is the magnetization behavior of the magnetic nanoparticles in fluids, which is typically modeled by a coupling of Brown and N\'{e}el rotation mechanisms. Another aspect, which is at least as important as the particle model itself but sometimes treated less prominently, is a very careful calibration of the model input, respectively the scanner parameters such as analog filter and applied magnetic fields. The careful consideration of both aspects is the essential requirement for a proper solution to the model-based problem. In the present work we combine calibrated scanner components with polydisperse particle models for immobilized nanoparticles to derive a model-based system function and an efficient calibration routine. It is experimentally validated on the Bruker preclinical MPI system using 2D Lissjous trajectories.

Conference Abstracts and Proceedings
since 2024
[180974]
Title: Model-based Calibration and Image Reconstruction with Immobilized Nanoparticles.
Written by: H. Albers, F. Thieben, M. Boberg, K. Scheffler, T. Knopp, and T. Kluth
in: <em>International Journal on Magnetic Particle Imaging</em>. (2023).
Volume: <strong>9</strong>. Number: (1),
on pages: 1-5
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2023.2303002
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/592
ARXIVID:
PMID:

[www]

Note: inproceedings, magneticfield, model-based

Abstract: The model-based reconstruction problem is still one of the key challenges in magnetic particle imaging (MPI) when using multi-dimensional Lissajous-type excitations. One aspect, which is often highlighted in the literature, is the magnetization behavior of the magnetic nanoparticles in fluids, which is typically modeled by a coupling of Brown and N\'{e}el rotation mechanisms. Another aspect, which is at least as important as the particle model itself but sometimes treated less prominently, is a very careful calibration of the model input, respectively the scanner parameters such as analog filter and applied magnetic fields. The careful consideration of both aspects is the essential requirement for a proper solution to the model-based problem. In the present work we combine calibrated scanner components with polydisperse particle models for immobilized nanoparticles to derive a model-based system function and an efficient calibration routine. It is experimentally validated on the Bruker preclinical MPI system using 2D Lissjous trajectories.

Publications

Journal Publications
since 2014
[180974]
Title: Model-based Calibration and Image Reconstruction with Immobilized Nanoparticles.
Written by: H. Albers, F. Thieben, M. Boberg, K. Scheffler, T. Knopp, and T. Kluth
in: <em>International Journal on Magnetic Particle Imaging</em>. (2023).
Volume: <strong>9</strong>. Number: (1),
on pages: 1-5
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2023.2303002
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/592
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings, magneticfield, model-based

Abstract: The model-based reconstruction problem is still one of the key challenges in magnetic particle imaging (MPI) when using multi-dimensional Lissajous-type excitations. One aspect, which is often highlighted in the literature, is the magnetization behavior of the magnetic nanoparticles in fluids, which is typically modeled by a coupling of Brown and N\'{e}el rotation mechanisms. Another aspect, which is at least as important as the particle model itself but sometimes treated less prominently, is a very careful calibration of the model input, respectively the scanner parameters such as analog filter and applied magnetic fields. The careful consideration of both aspects is the essential requirement for a proper solution to the model-based problem. In the present work we combine calibrated scanner components with polydisperse particle models for immobilized nanoparticles to derive a model-based system function and an efficient calibration routine. It is experimentally validated on the Bruker preclinical MPI system using 2D Lissjous trajectories.

Conference Abstracts and Proceedings
since 2014
[180974]
Title: Model-based Calibration and Image Reconstruction with Immobilized Nanoparticles.
Written by: H. Albers, F. Thieben, M. Boberg, K. Scheffler, T. Knopp, and T. Kluth
in: <em>International Journal on Magnetic Particle Imaging</em>. (2023).
Volume: <strong>9</strong>. Number: (1),
on pages: 1-5
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2023.2303002
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/592
ARXIVID:
PMID:

[www]

Note: inproceedings, magneticfield, model-based

Abstract: The model-based reconstruction problem is still one of the key challenges in magnetic particle imaging (MPI) when using multi-dimensional Lissajous-type excitations. One aspect, which is often highlighted in the literature, is the magnetization behavior of the magnetic nanoparticles in fluids, which is typically modeled by a coupling of Brown and N\'{e}el rotation mechanisms. Another aspect, which is at least as important as the particle model itself but sometimes treated less prominently, is a very careful calibration of the model input, respectively the scanner parameters such as analog filter and applied magnetic fields. The careful consideration of both aspects is the essential requirement for a proper solution to the model-based problem. In the present work we combine calibrated scanner components with polydisperse particle models for immobilized nanoparticles to derive a model-based system function and an efficient calibration routine. It is experimentally validated on the Bruker preclinical MPI system using 2D Lissjous trajectories.

Publications Pre-dating the Institute

Publications
2007-2013
[180974]
Title: Model-based Calibration and Image Reconstruction with Immobilized Nanoparticles.
Written by: H. Albers, F. Thieben, M. Boberg, K. Scheffler, T. Knopp, and T. Kluth
in: <em>International Journal on Magnetic Particle Imaging</em>. (2023).
Volume: <strong>9</strong>. Number: (1),
on pages: 1-5
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2023.2303002
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/592
ARXIVID:
PMID:

[www]

Note: inproceedings, magneticfield, model-based

Abstract: The model-based reconstruction problem is still one of the key challenges in magnetic particle imaging (MPI) when using multi-dimensional Lissajous-type excitations. One aspect, which is often highlighted in the literature, is the magnetization behavior of the magnetic nanoparticles in fluids, which is typically modeled by a coupling of Brown and N\'{e}el rotation mechanisms. Another aspect, which is at least as important as the particle model itself but sometimes treated less prominently, is a very careful calibration of the model input, respectively the scanner parameters such as analog filter and applied magnetic fields. The careful consideration of both aspects is the essential requirement for a proper solution to the model-based problem. In the present work we combine calibrated scanner components with polydisperse particle models for immobilized nanoparticles to derive a model-based system function and an efficient calibration routine. It is experimentally validated on the Bruker preclinical MPI system using 2D Lissjous trajectories.

Open Access Publications

Journal Publications
since 2014
[180974]
Title: Model-based Calibration and Image Reconstruction with Immobilized Nanoparticles.
Written by: H. Albers, F. Thieben, M. Boberg, K. Scheffler, T. Knopp, and T. Kluth
in: <em>International Journal on Magnetic Particle Imaging</em>. (2023).
Volume: <strong>9</strong>. Number: (1),
on pages: 1-5
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI: 10.18416/IJMPI.2023.2303002
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/592
ARXIVID:
PMID:

[www] [BibTex]

Note: inproceedings, magneticfield, model-based

Abstract: The model-based reconstruction problem is still one of the key challenges in magnetic particle imaging (MPI) when using multi-dimensional Lissajous-type excitations. One aspect, which is often highlighted in the literature, is the magnetization behavior of the magnetic nanoparticles in fluids, which is typically modeled by a coupling of Brown and N\'{e}el rotation mechanisms. Another aspect, which is at least as important as the particle model itself but sometimes treated less prominently, is a very careful calibration of the model input, respectively the scanner parameters such as analog filter and applied magnetic fields. The careful consideration of both aspects is the essential requirement for a proper solution to the model-based problem. In the present work we combine calibrated scanner components with polydisperse particle models for immobilized nanoparticles to derive a model-based system function and an efficient calibration routine. It is experimentally validated on the Bruker preclinical MPI system using 2D Lissjous trajectories.