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Acquisition Technology

Acquisition Technology

 Some of the activities in the Acquisition Technology group involves development of hardware. The image shows unique electronics developed by Christian G. Hanson for real-time processing of signals acquired during MRI. This was recently used for sensing and encoding k-space trajectories in MR raw data.

 

Focus area:

  • Motion and artifacts
  • Multi-modal data acquisition 
  • Spectroscopy and spectroscopic imaging
  • Fundamentals and education

The members of the Acquisition Technology at the DRCMR and DTU do research improving MR scanning, e.g. with respect to speed, robustness, sensitivity or specificity. They also work on separate topics in other research groups. The employed methods range from fundamental physics to advanced data processing techniques needed to extract important physiological parameters from the measurements. The targets of the development include imaging, spectroscopy, and multi-modal acquisition. This benefits, for example, the departments neurophysics and highfield research. 

The group also contributes to research projects, e.g., concerning sequence choices and sensitivity consideration, and provide education in MRI physics and techniques at the DRCMR, the DTU and elsewhere. Educational material and software is made freely available, and is used widely internationally.

 

Selected Publications

Göksu, C., Gregersen, F., Scheffler, K., Eroğlu, H. H., Heule, R., Siebner, H. R., Hanson, L. G. & Thielscher, A. Volumetric measurements of weak current-induced magnetic fields in the human brain at high resolution. Magn Reson Med.  DOI: 10.1002/mrm.29780 (2023).

Hosseini, S., Puonti, O., Treeby, B., Hanson, L. G. & Thielscher, A.
A Head Template for Computational Dose Modelling for Transcranial Focused Ultrasound Stimulation. NeuroImage. p. 120227. DOI: 0.1016/j.neuroimage.2023.120227 (2023).

Rahbek, S., Mahmood, F., Tomaszewski, M. R., Hanson, L. G. & Madsen, K. H. Decomposition-based framework for tumor classification and prediction of treatment response from longitudinal MRI, Phys in Med and Biol. DOI: 10.1088/1361-6560/acaa85, 2023.

Rahbek, S., Schakel, T., Mahmood, F., Madsen, K. H., Philippens, M. E. P. & Hanson, L. G. Optimized flip angle schemes for the split acquisition of fast spin-echo signals (SPLICE) sequence and application to diffusion-weighted imaging. Magn Reson Med, DOI: 10.1002/mrm.29545, 2023.

Laustsen, M., Andersen M., Xue, R., Madsen, K. H., & Hanson, L. G., Tracking of rigid head motion during MRI using an EEG system, Magn Reson Med, DOI: 10.1002/mrm.29251, 2022.

Gregersen, F., Göksu, C., Schaefers, G., Xue, R., Thielscher A., & Hanson L. G., Safety evaluation of a new setup for Transcranial Electric Stimulation during Magnetic Resonance Imaging, Brain Stimulation. 14, 3, p. 488-497, 2021.

Göksu, C., Scheffler, K., Gregersen, F., Eroğlu, H. H., Heule, R., Siebner, H. R., Hanson, L. G. & Thielscher, A. Sensitivity and resolution improvement for in vivo magnetic resonance current-density imaging of the human brain. Magn. Reson. Med. 86, p. 3131-3146, 2021.

Rahbek, S., Madsen, K. H., Lundell, H., Mahmood, F. & Hanson, L. G. Data-driven separation of MRI signal components for tissue characterization. J. Mag. Res. 333, p. 1-11. 2021.

Busoni, S., Bock, M., Chmelik, M., Colgan, N., De Bondt, T., Hanson, L. G., Israel, M., Kugel, H., Maieron, M., Mazzoni, L. N., Seimenis, I. & Vestergaard, P. ADDENDUM to EFOMP Policy statement No.14 "The role of the Medical Physicist in the management of safety within the magnetic resonance imaging environment: EFOMP recommendations". Physica Medica. 89, p. 303-305, 2021.

Sánchez-Heredia, J. D., Olin, R. B., McLean, M. A., Laustsen, C., Hansen A., Hanson, L.G., & Ardenkjaer-Larsen, J. H., Multi-Site Benchmarking of Clinical 13C RF Coils at 3 T, J Magn Reson, 318:106798, 2020.

Olin, R. B., Sánchez-Heredia, J. D., Schulte, R. F., Bøgh, N., Hansen, E. S. S., Laustsen, C., Hanson, L. G. & Ardenkjaer-Larsen, J. H. Three-dimensional accelerated acquisition for hyperpolarized 13 C MR  with blipped stack-of-spirals and conjugate-gradient  SENSE. Magn Reson Med 84, p. 519-34, 2020.

Pedersen, J. O., Hanson, C. G., Xue, R. & Hanson, L. G. Inductive measurement and encoding of k-space trajectories in MR raw data. MAGMA 32, p. 655-667, 2019.

Göksu, C., Scheffler K., Siebner H. R., Thielscher, A., & Hanson, L. G. The stray magnetic fields in Magnetic Resonance Current Density Imaging (MRCDI), Phys Med 59, p. 142-150, 2019.

Pedersen, J. O., Hanson, C. G., Xue, R. & Hanson, L. G. Regularization of Digitally Integrated, Inductive k-Space Trajectory Measures.
ISMRM 27th Annual Meeting & Exhibition 2019.

Pasquinelli, C., Hanson, L. G., Siebner, H. R., Lee, H. J. & Thielscher, A. Safety of transcranial focused ultrasound stimulation: A systematic review of the state of knowledge from both human and animal studies. Brain Stimulation. 12, 6, p. 1367-1380, 2019.

Hansen, R. B., Sánchez-Heredia, J. D., Bøgh, N., Hansen, E. S. S., Laustsen C., L. G. Hanson & Ardenkjær-Larsen,  J. H. Coil profile estimation strategies for parallel imaging with hyperpolarized 13 C MRI, Magn Reson Med 82, p. 2104-17, 2019.

Göksu, C., Scheffler K., Siebner H. R., Thielscher, A., & Hanson, L.G. The stray magnetic fields in Magnetic Resonance Current Density Imaging (MRCDI), Phys Med 59, 142-150, 2019.

Magnusson, P., Boer, V., Marsman, A., Paulson, O. B., Hanson, L. G. & Petersen, E. T. Gamma-aminobutyric acid edited echo-planar spectroscopic imaging (EPSI) with MEGA-sLASER at 7T, Magn Reson Med, 81(2), p. 773-780, 2019.

Pedersen, J. O. Encoding of non-MR signals in Magnetic Resonance Imaging data. PhD thesis, Technical University of Denmark, Electrical Engineering, 2018.

Pedersen, J. O., Hanson, C. G., Xue, R.  & Hanson, L. G. General Purpose Electronics for Real-Time Processing and encoding of non-MR Data in MR Acquisitions, Concepts in Magn Reson B, 48B(2), e21385, 2018.

Eldirdiri, A., Posse, S., Hanson, L. G., Hansen, R. B., Holst, P., Schøier, C., Kristensen, A. T., Johannesen, H. H., Kjaer, A., Hansen, A. E.  & Ardenkjær-Larsen, J. H. Development of a Symmetric Echo Planar Spectroscopic Imaging Framework for Hyperpolarized 13C Imaging in a Clinical PET/MR Scanner, Tomography, 4(3), p. 110-22, 20184(3), p. 110-22, 2018.

Wilhjelm J. E., Duun-Henriksen J. & Hanson L. G., A virtual scanner for teaching fundamental magnetic resonance in biomedical engineering, Comput Appl Eng Educ, 26(6), p. 2197-2209, 2018

Göksu, C., Hanson, L. G., Siebner, H. R., Ehses, P., Scheffler, K. & Thielscher, A. Human in-vivo brain magnetic resonance current density imaging (MRCDI). NeuroImage. 171, p. 26-39, 2018.

Göksu C, Scheffler K, Ehses P, Hanson L.G & Thielscher A. Sensitivity Analysis of Magnetic Field Measurements for Magnetic Resonance Electrical Impedance Tomography (MREIT), Magnetic Resonance in Medicine. 79, p. 748-760, 2018.

Laustsen, M., Andersen, M., Lehmann, P. M., Xue, R., Madsen, K. H. & Hanson, L. G. Slice-wise motion tracking during simultaneous EEG-fMRI. Joint Annual Meeting ISMRM-ESMRMB 2018.

Petersen, J. R., Pedersen, J. O., Zhurbenko, V., Ardenkjær-Larsen, J. H. & Hanson, L. G. Ultra-low power transmitter for encoding non-MR signals in Magnetic Resonance  recordings. Joint Annual Meeting ISMRM-ESMRMB 2018.

Göksu, C., Hanson, L. G., Siebner, H. R., Ehses, P., Scheffler, K. & Thielscher, A. Comparison of two alternative sequences for human in-vivo brain MR Current Density Imaging (MRCDI). Joint Annual Meeting ISMRM-ESMRMB 2018.

Göksu, C., Hanson, L. G., Siebner, H. R., Ehses, P., Scheffler, K. & Thielscher, A. Human In-vivo Brain MR Current Density Imaging (MRCDI) based on Steady-state Free Precession Free Induction Decay (SSFP-FID). Joint Annual Meeting ISMRM-ESMRMB 2018.

Andersen, M., Hanson, L. G., Madsen, K. H., Wezel, J., Boer, V., van der Velden, T., van Osch, M. J. P., Klomp, D., Webb, A. G. & Versluis, M. J. Measuring motion-induced B0 -fluctuations in the brain using field probes. Magnetic Resonance in Medicine, 75(5):2020-30, 2016.

Andersen, M., Towards Motion-Insensitive Magnetic Resonance Imaging Using Dynamic Field Measurements. PhD thesis, Technical University of Denmark, Electrical Engineering. 109 p., 2016.

Hanson, L. G. The Ups and Downs of Classical and Quantum Formulations of Magnetic Resonance. Book chapter in Anthropic Awareness: The Human Aspects of Scientific Thinking in NMR Spectroscopy and Mass Spectrometry. Edited by: C Szantay, Jr. Elsevier, Chap. 3, p. 141-171, 2015.

de Nijs, R., Miranda, MJ., Hansen, LK., Hanson, LG. Motion correction of single-voxel spectroscopy by independent component analysis applied to spectra from nonanesthetized pediatric subjects. Magn Reson Med 2009, 62(5), 1147-1154.

Hanson, LG. Is quantum mechanics necessary for understanding magnetic resonance? Concepts in Magnetic Resonance Part A 2008, 32A(5), 329-340.

Hanson, LG. A graphical simulator for teaching basic and advanced MR imaging techniques. Radiographics 2007, 27(6), e27.

Hanson, LG., Lund, TE., Hanson, CG. Encoding of electrophysiology and other signals in MR images. J. Magn Reson Imaging 2007, 25(5), 1059-1066. 

Hanson, LG., Lund, TE., Hanson, CG. Encoding and transmission of signals as RF signals for detection using an MR apparatus. WO/2005/116676, PCT/DK2005/000343 2005.

Andersen, IK., Szymkowiak, A., Rasmussen, CE., Hanson, LG., Marstrand, JR., Larsson, HB. & Hansen, LK. Perfusion quantification using Gaussian process deconvolution. Magn Reson Med 2002, 48(2), 351-361.

Hanson, LG., Adalsteinsson, E., Pfefferbaum, A., Spielman, DM. Optimal voxel size for measuring global gray and white matter proton metabolite concentrations using chemical shift imaging. Magn Reson Med 2000, 44(1), 10-18.

Hanson, LG., Schaumburg, K., Paulson, OB. Reconstruction strategy for echo planar spectroscopy and its application to partially undersampled imaging. Magn Reson Med 2000, 44(3), 412-417.

News & Events

Group Members

Lars G. Hanson

Group Leader

Kristoffer Hougaard Madsen

External Collaborators

Section for MR, DTU Health Tech

Technical University of Denmark, Lyngby

Institute of Biophysics

Chinese Academy of Sciences, Beijing, China

Max Planck Institute for Biological Cybernetics

Tübingen, Germany