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.bibliographiccitation.firstpage","893"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Soft Matter"],["dc.bibliographiccitation.lastpage","902"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Lee, Miru"],["dc.contributor.author","Lohrmann, Christoph"],["dc.contributor.author","Szuttor, Kai"],["dc.contributor.author","Auradou, Harold"],["dc.contributor.author","Holm, Christian"],["dc.date.accessioned","2021-04-14T08:30:15Z"],["dc.date.available","2021-04-14T08:30:15Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1039/d0sm01595d"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83164"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1744-6848"],["dc.relation.issn","1744-683X"],["dc.title","The influence of motility on bacterial accumulation in a microporous channel"],["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.firstpage","1566"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Magnetic Resonance in Medicine"],["dc.bibliographiccitation.lastpage","1579"],["dc.bibliographiccitation.volume","81"],["dc.contributor.author","Roeloffs, Volkert"],["dc.contributor.author","Rosenzweig, Sebastian"],["dc.contributor.author","Holme, Hans Christian Martin"],["dc.contributor.author","Uecker, Martin"],["dc.contributor.author","Frahm, Jens"],["dc.date.accessioned","2020-05-13T13:45:33Z"],["dc.date.available","2020-05-13T13:45:33Z"],["dc.date.issued","2019"],["dc.description.abstract","Purpose A novel subspace‐based reconstruction method for frequency‐modulated balanced steady‐state free precession (fmSSFP) MRI is presented. In this work, suitable data acquisition schemes, subspace sizes, and efficiencies for banding removal are investigated. Theory and Methods By combining a fmSSFP MRI sequence with a 3D stack‐of‐stars trajectory, scan efficiency is maximized as spectral information is obtained without intermediate preparation phases. A memory‐efficient reconstruction routine is implemented by introducing the low‐frequency Fourier transform as a subspace which allows for the formulation of a convex reconstruction problem. The removal of banding artifacts is investigated by comparing the proposed acquisition and reconstruction technique to phase‐cycled bSSFP MRI. Aliasing properties of different undersampling schemes are analyzed and water/fat separation is demonstrated by reweighting the reconstructed subspace coefficients to generate virtual spectral responses in a post‐processing step. Results A simple root‐of‐sum‐of‐squares combination of the reconstructed subspace coefficients yields high‐SNR images with the characteristic bSSFP contrast but without banding artifacts. Compared to Golden‐Angle trajectories, turn‐based sampling schemes were superior in minimizing aliasing across reconstructed subspace coefficients. Water/fat separated images of the human knee were obtained by reweighting subspace coefficients. Conclusions The novel subspace‐based fmSSFP MRI technique emerges as a time‐efficient alternative to phase‐cycled bSFFP. The method does not need intermediate preparation phases, offers high SNR and avoids banding artifacts. Reweighting of the reconstructed subspace coefficients allows for generating virtual spectral responses with applications to water/fat separation."],["dc.identifier.arxiv","1803.06274v2"],["dc.identifier.doi","10.1002/mrm.27505"],["dc.identifier.pmid","30357904"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65372"],["dc.language.iso","en"],["dc.relation.eissn","1522-2594"],["dc.relation.issn","0740-3194"],["dc.title","Frequency-modulated SSFP with radial sampling and subspace reconstruction: A time-efficient alternative to phase-cycled bSSFP"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2057"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Magnetic Resonance in Medicine"],["dc.bibliographiccitation.lastpage","2066"],["dc.bibliographiccitation.volume","79"],["dc.contributor.author","Rosenzweig, Sebastian"],["dc.contributor.author","Holme, Hans Christian Martin"],["dc.contributor.author","Wilke, Robin N."],["dc.contributor.author","Voit, Dirk"],["dc.contributor.author","Frahm, Jens"],["dc.contributor.author","Uecker, Martin"],["dc.date.accessioned","2018-01-17T13:51:59Z"],["dc.date.accessioned","2020-05-13T11:03:39Z"],["dc.date.available","2018-01-17T13:51:59Z"],["dc.date.available","2020-05-13T11:03:39Z"],["dc.date.issued","2017-08-24"],["dc.description.abstract","The development of a calibrationless parallel imaging method for accelerated simultaneous multi-slice (SMS) MRI based on Regularized Nonlinear Inversion (NLINV), evaluated using Cartesian and radial fast low-angle shot (FLASH)."],["dc.identifier.arxiv","1705.04135v2"],["dc.identifier.doi","10.1002/mrm.26878"],["dc.identifier.pmid","28840612"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65299"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.eissn","1522-2594"],["dc.relation.issn","0740-3194"],["dc.subject","Physics - Medical Physics"],["dc.subject","Physics - Medical Physics"],["dc.title","Simultaneous multi-slice MRI using cartesian and radial FLASH and regularized nonlinear inversion: SMS-NLINV"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","IEEE Transactions on Medical Imaging"],["dc.bibliographiccitation.lastpage","1"],["dc.contributor.author","Rosenzweig, Sebastian"],["dc.contributor.author","Scholand, Nick"],["dc.contributor.author","Holme, Hans Christian Martin"],["dc.contributor.author","Uecker, Martin"],["dc.date.accessioned","2020-05-13T12:33:50Z"],["dc.date.available","2020-05-13T12:33:50Z"],["dc.date.issued","2020"],["dc.description.abstract","Cardiac Magnetic Resonance Imaging (MRI) is time-consuming and error-prone. To ease the patient's burden and to increase the efficiency and robustness of cardiac exams, interest in methods based on continuous steady-state acquisition and self-gating has been growing in recent years. Self-gating methods extract the cardiac and respiratory signals from the measurement data and then retrospectively sort the data into cardiac and respiratory phases. Repeated breathholds and synchronization with the heart beat using some external device as required in conventional MRI are then not necessary. In this work, we introduce a novel self-gating method for radially acquired data based on a dimensionality reduction technique for time-series analysis (SSA-FARY). Building on Singular Spectrum Analysis, a zero-padded, time-delayed embedding of the auto-calibration data is analyzed using Principle Component Analysis. We demonstrate the basic functionality of SSA-FARY using numerical simulations and apply it to in-vivo cardiac radial single-slice bSSFP and Simultaneous Multi-Slice radiofrequency-spoiled gradientecho measurements, as well as to Stack-of-Stars bSSFP measurements. SSA-FARY reliably detects the cardiac and respiratory motion and separates it from noise. We utilize the generated signals for high-dimensional image reconstruction using parallel imaging and compressed sensing with in-plane wavelet and (spatio-)temporal total-variation regularization."],["dc.identifier.arxiv","1812.09057v6"],["dc.identifier.doi","10.1109/TMI.2020.2985994"],["dc.identifier.pmid","32275585"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65361"],["dc.language.iso","en"],["dc.relation.eissn","1558-254X"],["dc.relation.issn","0278-0062"],["dc.title","Cardiac and Respiratory Self-Gating in Radial MRI using an Adapted Singular Spectrum Analysis (SSA-FARY)"],["dc.type","journal_article"],["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"]]

[["dc.bibliographiccitation.journal","Magnetic Resonance in Medicine"],["dc.contributor.author","Rosenzweig, Sebastian"],["dc.contributor.author","Holme, H. Christian M."],["dc.contributor.author","Uecker, Martin"],["dc.date.accessioned","2019-01-25T09:28:21Z"],["dc.date.available","2019-01-25T09:28:21Z"],["dc.date.issued","2018"],["dc.description.abstract","To develop a simple and robust tool for the estimation of gradient delays from highly undersampled radial k-space data."],["dc.identifier.arxiv","1805.04334v3"],["dc.identifier.doi","10.1002/mrm.27506"],["dc.identifier.pmid","30489652"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57385"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.eissn","1522-2594"],["dc.title","Simple auto-calibrated gradient delay estimation from few spokes using Radial Intersections (RING)"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]