Holme, Hans Christian Martin

[["dc.bibliographiccitation.artnumber","mrm.29485"],["dc.bibliographiccitation.journal","Magnetic Resonance in Medicine"],["dc.contributor.author","Blumenthal, Moritz"],["dc.contributor.author","Luo, Guanxiong"],["dc.contributor.author","Schilling, Martin"],["dc.contributor.author","Holme, H. Christian M."],["dc.contributor.author","Uecker, Martin"],["dc.date.accessioned","2022-11-01T10:16:53Z"],["dc.date.available","2022-11-01T10:16:53Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1002/mrm.29485"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/116678"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-605"],["dc.relation.eissn","1522-2594"],["dc.relation.issn","0740-3194"],["dc.title","Deep, deep learning with BART"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Tan, Zhengguo"],["dc.contributor.author","Rosenzweig, Sebastian"],["dc.contributor.author","Wang, Xiaoqing"],["dc.contributor.author","Scholand, Nick"],["dc.contributor.author","Holme, Christian"],["dc.contributor.author","Blumenthal, Moritz"],["dc.contributor.author","Voit, Dirk"],["dc.contributor.author","Frahm, Jens"],["dc.contributor.author","Uecker, Martin"],["dc.date.accessioned","2021-03-08T07:15:47Z"],["dc.date.available","2021-03-08T07:15:47Z"],["dc.date.issued","2021-01-07"],["dc.description.abstract","Purpose: To achieve free-breathing quantitative fat and $R_2^{\\star}$ mapping of the liver using a generalized model-based iterative reconstruction, dubbed as MERLOT. Methods: For acquisition, we use a multi-echo radial FLASH sequence that acquires multiple echoes with different complementary radial spoke encodings. We investigate real-time single-slice and volumetric multi-echo radial FLASH acquisition. For the latter, the sampling scheme is extended to a volumetric stack-of-stars acquisition. Model-based reconstruction based on generalized nonlinear inversion is used to jointly estimate water, fat, $R_2^{\\star}$, $B_0$ field inhomogeneity, and coil sensitivity maps from the multi-coil multi-echo radial spokes. Spatial smoothness regularization is applied onto the B 0 field and coil sensitivity maps, whereas joint sparsity regularization is employed for the other parameter maps. The method integrates calibration-less parallel imaging and compressed sensing and was implemented in BART. For the volumetric acquisition, the respiratory motion is resolved with self-gating using SSA-FARY. The quantitative accuracy of the proposed method was validated via numerical simulation, the NIST phantom, a water/fat phantom, and in in-vivo liver studies. Results: For real-time acquisition, the proposed model-based reconstruction allowed acquisition of dynamic liver fat fraction and $R_2^{\\star}$ maps at a temporal resolution of 0.3 s per frame. For the volumetric acquisition, whole liver coverage could be achieved in under 2 minutes using the self-gated motion-resolved reconstruction. Conclusion: The proposed multi-echo radial sampling sequence achieves fast k -space coverage and is robust to motion. The proposed model-based reconstruction yields spatially and temporally resolved liver fat fraction, $R_2^{\\star}$ and $B_0$ field maps at high undersampling factor and with volume coverage."],["dc.identifier.arxiv","2101.02788"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/80482"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/122"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.workinggroup","RG Uecker"],["dc.title","Free-Breathing Water, Fat, ^{\\star}$ and $ Field Mapping of the Liver Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (MERLOT)"],["dc.type","preprint"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","mrm.29521"],["dc.bibliographiccitation.journal","Magnetic Resonance in Medicine"],["dc.contributor.author","Wang, Xiaoqing"],["dc.contributor.author","Rosenzweig, Sebastian"],["dc.contributor.author","Roeloffs, Volkert"],["dc.contributor.author","Blumenthal, Moritz"],["dc.contributor.author","Scholand, Nick"],["dc.contributor.author","Tan, Zhengguo"],["dc.contributor.author","Holme, H. Christian M."],["dc.contributor.author","Unterberg‐Buchwald, Christina"],["dc.contributor.author","Hinkel, Rabea"],["dc.contributor.author","Uecker, Martin"],["dc.date.accessioned","2022-12-01T08:31:30Z"],["dc.date.available","2022-12-01T08:31:30Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1002/mrm.29521"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/118186"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-621"],["dc.relation.eissn","1522-2594"],["dc.relation.issn","0740-3194"],["dc.title","Free‐breathing myocardial T\n 1\n mapping using inversion‐recovery radial FLASH and motion‐resolved model‐based reconstruction"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]