Chaos and COSMOS—Considerations on QSM methods with multiple and single orientations and effects from local anisotropy
Year: 2024
Type: article
Abstract: PURPOSE: Field-to-susceptibility inversion in quantitative susceptibility mapping (QSM) is ill-posed and needs numerical stabilization through either regularization or oversampling by acquiring data at three or more object orientations. Calculation Of Susceptibility through Multiple Orientations Sampling (COSMOS) is an established oversampling approach and regarded as QSM gold standard. It achieves a well-conditioned inverse problem, requiring rotations by 0°, 60° and 120° in the yz-plane. However, this is impractical in vivo, where head rotations are typically restricted to a range of ±25°. Non-ideal sampling degrades the conditioning with residual streaking artifacts whose mitigation needs further regularization. Moreover, susceptibility anisotropy in white matter is not considered in the COSMOS model, which may introduce additional bias. The current work presents a thorough investigation of these effects in primate brain. METHODS: Gradient-recalled echo (GRE) data of an entire fixed chimpanzee brain were acquired at 7 T (350 μm resolution, 10 orientations) including ideal COSMOS sampling and realistic rotations in vivo. Comparisons of the results included ideal COSMOS, in-vivo feasible acquisitions with 3-8 orientations and single-orientation iLSQR QSM. RESULTS: In-vivo feasible and optimal COSMOS yielded high-quality susceptibility maps with increased SNR resulting from averaging multiple acquisitions. COSMOS reconstructions from non-ideal rotations about a single axis required additional L2-regularization to mitigate residual streaking artifacts. CONCLUSION: In view of unconsidered anisotropy effects, added complexity of the reconstruction, and the general challenge of multi-orientation acquisitions, advantages of sub-optimal COSMOS schemes over regularized single-orientation QSM appear limited in in-vivo settings.
Source: Magnetic Resonance Imaging
Authors: Dimitrios G. Gkotsoulias, Carsten Jäger, Roland Müller, Tobias Gräßle, Karin M. Olofsson, Torsten Møller, Steve Unwin, Catherine Crockford, Roman M. Wittig, Berkin Bilgic, Harald E. Möller
Institutions: Max Planck Institute for Human Cognitive and Brain Sciences, Robert Koch Institute, Swedish Veterinary Agency, Max Planck Institute for Evolutionary Anthropology, Institut des Sciences Cognitives Marc Jeannerod, Swiss Centre for Scientific Research, Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts Institute of Technology
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,530
Awards: G1515206938, G2001806450, G2164003628, G2631614520, G3246315329, G3345895242, G4254732962, INtegrating Magnetic Resonance SPectroscopy and Multimodal Imaging for Research and Education in MEDicine, INtegrating Magnetic Resonance SPectroscopy and Multimodal Imaging for Research and Education in MEDicine, G4937468798, G5488695380, G5939519640, G7735027310, G7984235579, G8005054536, MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNER, G8512683158, G8784949294, G8858395165, G9000000615, G9000007669, G9000027544, G9000052245, G9000151054, G9000182804
OpenAlex ID: W4394858116
