{"id":1242,"date":"2022-09-18T17:19:12","date_gmt":"2022-09-18T15:19:12","guid":{"rendered":"https:\/\/www.mr-physik.med.fau.de\/?page_id=1242"},"modified":"2026-04-30T09:31:50","modified_gmt":"2026-04-30T07:31:50","slug":"qmri-lab-laun","status":"publish","type":"page","link":"https:\/\/www.mr-physik.med.fau.de\/en\/qmri-lab-laun\/","title":{"rendered":"qMRI Lab (Laun)"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Welcome to the qMRI lab!<\/h2>\n\n\n\n<p>The &#8220;q&#8221; in qMRI stands for <em>quantitative<\/em> as we work on quantiative MRI methods.<\/p>\n\n\n\n<p>It moreover stands for <em>q-space.<\/em> The q-space is the space in which we acquire data in diffusion-weighted MRI (DWI), which is one of our research foci. With DWI, we measure water diffusion in tissue in vivo. The measurement of diffusion allows us drawing conclusions about tissue structure or tissue integrity and is used clinically, for example, in stroke diagnostics and in the diagnosis of prostate carcinoma. Our research focuses on the measurement of anisotropic diffusion (diffusion tensor imaging), non-Gaussian diffusion processes (e.g., kurtosis imaging, IVIM imaging), determination of tissue microstructure (e.g., diffusion pore imaging), and the development of high-gradient methods (e.g., dedicated breast gradients, G &gt; 1 T\/m). To enable quantitative evaluation, suitable validation, reference, and calibration objects, so-called phantoms, are also being developed.<\/p>\n\n\n\n<p>Another focus is on <em>quantitative<\/em> susceptibility mapping (QSM). Different biological tissues differ in their magnetic susceptibilities, which can be measured and quantified using suitable MRI techniques. This technique can be used, for example, to differentiate between calcification and hemorrhage.<\/p>\n\n\n\n<p>Moreover, we work on <em>quantifying<\/em> tissue stiffness and further elastography properties within the <a href=\"https:\/\/www.crc1540-ebm.research.fau.eu\/\">CRC 1540<\/a> &#8220;Exploring brain meachnics&#8221; using magnetic resonance elastography (<a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/mrm.28627\">MRE<\/a>). MRE allows one e.g. to assess mechanical properties of the developing brain and of brain malformations.<\/p>\n\n\n\n<p>We always offer exciting Bachelor, Master, and PhD topics. If you are interested, please send an email to frederik.laun@uk-erlangen.de.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Project group \u201cMR Susceptibility Imaging&#8221; (headed by <a href=\"https:\/\/www.mr-physik.med.fau.de\/en\/team\/jannis-hanspach\/\">Jannis Hanspach<\/a>)<\/strong><\/h3>\n\n\n\n<p>Magnetic susceptibility has long been regarded as a nuisance factor in magnetic resonance imaging (MRI) that leads to artifacts. Using modern techniques such as susceptibility weighted imaging (SWI) or quantitative susceptibility mapping (QSM), the effect of magnetic susceptibility on MR phase maps can be used to generate useful contrasts and to calculate the distribution of magnetic susceptibility. Changes in magnetic susceptibility allow indirect conclusions regarding the spatial distribution of iron, myelin or the calcium content in the brain, which can be altered in neurodegenerative diseases such as Parkinson&#8217;s disease. In the human body outside the brain, sources of susceptibility such as calcifications, bleedings or foreign bodies can be easily visualized using these methods.<\/p>\n\n\n\n<p>We are working on enabling the use of QSM and SWI in various anatomical regions, such as the brain, prostate, breast and kidneys, using new deep learning reconstruction methods and improving image quality. In addition, we support the use of QSM and SWI in patient studies in which we determine the distribution of magnetic susceptibility in cooperation with clinical partners. The aim here is to gain insights into the value of these techniques and potentially enable better diagnostics. Among other things, we are focusing on Parkinson&#8217;s disease, multiple system atrophy and prostate cancer patients.<\/p>\n\n\n\n<figure class=\"wp-block-image is-style-large has-overlay\"><div class=\"image-wrapper\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2024\/02\/Bild1-1-300x285.jpg\" alt=\"\" class=\"wp-image-2522 tall-image\" srcset=\"https:\/\/www.mr-physik.med.fau.de\/files\/2024\/02\/Bild1-1-300x285.jpg 300w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/02\/Bild1-1-60x57.jpg 60w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/02\/Bild1-1-116x110.jpg 116w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/02\/Bild1-1-252x240.jpg 252w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/02\/Bild1-1-336x320.jpg 336w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/02\/Bild1-1.jpg 347w\" \/><button class=\"image-fullscreen-btn\" onclick=\"openImageFullscreen('https:\/\/www.mr-physik.med.fau.de\/files\/2024\/02\/Bild1-1.jpg')\">\u26f6<\/button><\/div><figcaption class=\"wp-element-caption\"><em>\u00a0Quantitative susceptibility map of the brain of a healthy subject at the level of the basal ganglia. The susceptibility map was reconstructed from the phase map of a gradient echo sequence (7T), shows a unique contrast and provides conclusions about the spatial distribution of iron, myelin and calcium.<\/em><\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Project Group \u201cMagnetic Resonance Elastography\u201d (MRE, headed by Guillaume Fl\u00e9)<\/h3>\n\n\n\n<p>From individual cells to entire body regions, mechanical properties of tissue are dynamic markers of health condition and determinative actors in various biological processes. In medical settings, magnetic resonance elastography imaging (MRE) provides a unique means for the non-invasive assessment of organ stiffness using continuum mechanics principles. MRE induces weak time-harmonic vibrations in the scanned area using surface actuators positioned against the patient&#8217;s body in the MRI scanner. Propagation of the vibrations in the form of elastic waves is monitored by a specialised phase-contrast MR sequence that captures snapshots of the waves at consecutive instances of the harmonic actuation cycle. Processing of the wave images by a dedicated mechanical model produces maps of the distributed model parameters, often expressed in pairs such as wave propagation speed and attenuation coefficient or stiffness and viscosity related quantities.<\/p>\n\n\n\n<p>The MR Elastography group investigates the biomechanics of the healthy and pathological human brain, with an ultimate focus on patients with epilepsy. In addition, the aim of our research is to contribute ex vivo data for comparison with different characterization methods.<\/p>\n\n\n\n<figure class=\"wp-block-image is-style-large has-overlay\"><a href=\"https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow.gif\"><div class=\"image-wrapper\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow-1024x576.gif\" alt=\"mre workflow \" class=\"wp-image-2941\" srcset=\"https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow-1024x576.gif 1024w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow-300x169.gif 300w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow-768x432.gif 768w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow-1536x864.gif 1536w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow-60x34.gif 60w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow-140x79.gif 140w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow-427x240.gif 427w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow-480x270.gif 480w, https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow-836x470.gif 836w\" \/><button class=\"image-fullscreen-btn\" onclick=\"openImageFullscreen('https:\/\/www.mr-physik.med.fau.de\/files\/2024\/05\/mre-workflow.gif')\">\u26f6<\/button><\/div><\/a><\/figure>\n\n\n\n<p>We are part of the CRC1540 Exploring Brain Mechanics&#8217; Y Project, headed by Arnd D\u00f6rfler, Frederik Laun, Jing Guo, and Ingolf Sack (<a href=\"https:\/\/www.crc1540-ebm.research.fau.eu\">https:\/\/www.crc1540-ebm.research.fau.eu<\/a>).<\/p>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Project: Investigation of pulsation-artifact-reducing techniques in diffusion imaging of the liver (DFG project number <a href=\"https:\/\/gepris.dfg.de\/gepris\/projekt\/446875476\">446875476<\/a>)<\/h3>\n\n\n\n<p>In magnetic resonance imaging of the liver, diffusion-weighted imaging (DWI) often shows signal loss in the left lobe of the liver, which is caused by cardiac pulsation. The goal of this project is to improve the image quality of liver DWI. For this purpose, this artifact shall be reduced while at the same time the blood signal must be suppressed. For this purpose, a \u201cmixed\u201d protocol will be used, the usability of which has been demonstrated in a recent own volunteer study. It includes a conventional bipolar diffusion coding at a small b-value (50 s\/mm\u00b2) and a flow-compensated diffusion coding at a high b-value (800 s\/mm\u00b2). This protocol will be used in a prospective patient study in which patients with known or suspected liver lesions will be included. One of the most important parameters that will be evaluated is the visibility of lesions in the left lobe of the liver. To further improve image quality, advanced data processing techniques will be developed and evaluated. Conventional approaches, e.g., outlier detections, will be pursued. In addition, \u201cconvolutional neural networks\u201d will be trained to generate high-quality images from the set of acquired diffusion-weighted images.<\/p>\n\n\n\n<p>This project is conducted in cooperation with clinical partner Marc Saake.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-large is-style-large has-overlay\"><img decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2022\/04\/leberpulsation-dwi.jpg\" alt=\"\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p class=\"is-style-small-text\">Pulsation artifact in the liver. New sequence techniques and image processing approaches will be used to minimize this artifact, which typically occurs in the left lobe of the liver.<br><\/p>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Project: Diffusion-weighted magnetic resonance imaging with flow-compensated diffusion weightings and tri-exponential IVIM imaging (DFG project number <a href=\"https:\/\/gepris.dfg.de\/gepris\/projekt\/437119659\">437119659<\/a>)<\/h3>\n\n\n\n<p>The Intravoxel Incoherent Motion (IVIM) model of Denis le Bihan et al. relates the observed sharp signal drop in diffusion-weighted magnetic resonance imaging at small b values to the presence of a compartment containing blood as a flowing fluid. The IVIM model is attractive because it allows studing perfusion parameters in native examinations, that is, without the administration of contrast agents. Increasing discussions about deposition of gadolinium-containing contrast agents in the human brain have further contributed to its attractiveness. This project builds on two recent research findings. First, the IVIM effect disappears when short flow-compensated diffusion weightings are used, but reappears when longer flow-compensated diffusion weightings are used. The use of the IVIM model by Denis le Bihan et al. makes it possible to link this experimental observation to parameters such as blood flow correlation time \u03c4 and vessel segment length l. These parameters are of great importance in the context of angiogenesis in tumor diseases. Second, recent work showed that the often used bi-exponential IVIM model is no longer valid at very small b values and a tri-exponential model seems to be more appropriate. The cause of the tri-exponential behavior is currently unclear, but an attractive interpretation would be, for example, to assign the measured two flow compartments to venous and arterial blood. This project aims to understand the mechanisms that produce contrast in flow-compensated and tri-exponential IVIM imaging. Experimentally, this will be achieved by performing flow-compensated and tri-exponential IVIM measurements with varying echo time (TE) at varying field strength (B0). This should help to identify the contributions of different compartments (such as venous, arterial, primary urine in the kidney). For this purpose, the property that the transverse relaxation time of these compartments is different and furthermore depends on B0 will be used. Since these IVIM measurements are experimentally challenging, part of the project is focused on optimizing the measurement protocol. The planned experiments will be performed on clinical scanners in healthy volunteers.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-large is-style-large has-overlay\"><img decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2022\/04\/ivim-kurve-biexp-and-triexp.jpg\" alt=\"\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p class=\"is-style-small-text\">Bi- and tri-exponential signal decay in the liver allows conclusions about tissue structure (diffusion) and perfusion properties.<br><\/p>\n<\/div>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Project: On the diagnostic value of stimulated-echo MRI diffusion tensor imaging of the female breast. (<a href=\"https:\/\/www.med.fau.de\/files\/2015\/08\/Forschungsbericht-Med.-Fak.-FAU-Marohnstiftung.pdf\">Marohn-Stiftung<\/a>)<\/h3>\n\n\n\n<p>Stimulated echo diffusion imaging (STE-DWI) is a new technique for examining the female breast using MRI. It does not require a contrast agent. The findings of a publication (8 patients) in 2017 suggest that this technique has the potential to overcome limitations of conventional MRI diffusion imaging, which is already widely used. Limitations include often poor quality of fat saturation and ambiguous separation of malignant and benign lesions by the measured quantitative diffusion coefficients. In this project, a clinical study will be performed in close cooperation between physicians and physicists to evaluate the clinical value of this new approach with respect to clinical use and for early detection programs. In the first phase, the technique and a protocol for the clinical study will be developed (physics part), which will be performed in the second phase (radiology part). Seventy female patients will be studied. The quality of the diffusion-weighted images and the discriminatory power of the quantitative diffusion coefficients will be evaluated for this purpose.<\/p>\n\n\n\n<p>This project is carried out in cooperation with the clinical partners Evelyn Wenkel, Sabine Ohlmeyer, and Sebastian Bickelhaupt.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-large is-style-large has-overlay\"><img decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2022\/04\/screenshot-breast-dwi.jpg\" alt=\"\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p class=\"is-style-small-text\">Diffusion-weighted MR image of the breast: the remaining fat signal should be further suppressed with stimulated-echo MRI.<br><\/p>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Project: Heisenberg Professorship &#8211; New approaches to structure determination of biological tissue using quantitative magnetic resonance imaging (DFG project number <a href=\"https:\/\/gepris.dfg.de\/gepris\/projekt\/430650228\">430650228<\/a>)<\/h3>\n\n\n\n<p>Frederik Laun\u2019s professorship was funded by the DFG Heisenberg Program.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-style-large has-overlay\"><img decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2022\/04\/hprofessur.jpg\" alt=\"\" \/><\/figure>\n\n\n\n<h1 class=\"wp-block-heading\"><a href=\"https:\/\/www.mr-physik.med.fau.de\/category\/ag-laun\/\">News of AG Laun<\/a><\/h1>\n\n\n<section class=\"fau-list-item wp-block-fau-elemental-fau-teaser-grid\" id=\"b336f9e5-f81b-43e6-8352-d06514326ceb\" aria-label=\"Content grid\" role=\"region\" data-grid-id=\"b336f9e5-f81b-43e6-8352-d06514326ceb\" data-custom-block-id=\"b336f9e5-f81b-43e6-8352-d06514326ceb\" data-variant=\"post\" data-category=\"0\" data-tags=\"\" data-author=\"0\" data-year=\"0\" data-month=\"0\" data-day=\"0\" data-posts-per-page=\"5\" data-display-style=\"teaser-grid\" data-teaser-layout=\"3m\" data-order-by=\"date\" data-order=\"DESC\" data-heading-level=\"h4\" data-show-pagination=\"false\" data-pagination-type=\"numbers\" data-nonce=\"3a8e696d9e\" data-current-page=\"1\"><ul class=\"fau-teaser-grid teaser-grid layout-3m\" aria-label=\"Content items\" data-variant=\"post\"><li><a class=\"teaser-item-link teaser-item\" href=\"https:\/\/www.mr-physik.med.fau.de\/en\/2026\/04\/23\/agent4mr-autoresearch\/\"><article class=\"post-teaser\" data-variant=\"post\" data-href=\"https:\/\/www.mr-physik.med.fau.de\/en\/2026\/04\/23\/agent4mr-autoresearch\/\" tabindex=\"0\" role=\"button\" aria-labelledby=\"teaser-title-4200\"><div class=\"teaser-image-wrapper\"><div class=\"teaser-image\"><img decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2026\/04\/thumbnail-1-e1776929665225.png\" class=\"attachment-medium_large size-medium_large\" alt=\"MR physicist\u2019s last exam pt.II \u2013 Agent4MR &amp; MR autoresearch\" loading=\"lazy\" srcset=\"https:\/\/www.mr-physik.med.fau.de\/files\/2026\/04\/thumbnail-1-e1776929665225.png 518w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/04\/thumbnail-1-e1776929665225-300x259.png 300w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/04\/thumbnail-1-e1776929665225-60x52.png 60w\" \/><\/div><div class=\"teaser-meta\"><time datetime=\"2026-04-23 11:53:48\"><span class=\"date-day\">23<\/span><span class=\"date-month-year\">APR 2026<\/span><\/time><\/div><\/div><div class=\"teaser-content-wrapper\"><div class=\"teaser-content\"><div class=\"content-column\"><span class=\"category\">Allgemein<\/span><h4 class=\"clamp-3\" id=\"teaser-title-4200\">MR physicist\u2019s last exam pt.II \u2013 Agent4MR &amp; MR autoresearch<\/h4><div class=\"excerpt clamp-3\"><span class=\"visually-hidden\">About a year ago, we showed that LLMs can write MRI pulse sequence code when given the right context (our earlier&nbsp;GPT4MR and LLM4MR&nbsp;work). The results were promising but fragile. The models could produce code that compiled and ran, and was often correct, but sometimes the sequences still had physics errors &#8212; wrong echo times, malformed [&hellip;]<\/span><span aria-hidden=\"true\">About a year ago, we showed that LLMs can write MRI pulse sequence code when given the right context (our earlier&nbsp;GPT4MR and LLM4MR&nbsp;work). The results were promising but fragile. The models could produce code that compiled and ran, and was often correct, but sometimes the sequences still had physics errors &#8212; wrong echo times, malformed [&hellip;]<\/span><\/div><\/div><div class=\"button-teaser\"><span class=\"wp-block-button__link\"><span class=\"screen-reader-text\">Read more about MR physicist\u2019s last exam pt.II \u2013 Agent4MR &amp; MR autoresearch<\/span><\/span><\/div><\/div><\/div><\/article><\/a><\/li><li><a class=\"teaser-item-link teaser-item\" href=\"https:\/\/www.mr-physik.med.fau.de\/en\/2026\/03\/18\/new-paper-improved-myocardial-sodium-quantification-at-7-t-using-interleaved-23na-1h-ptx-mri-with-motion-and-anatomy-based-b1-correction\/\"><article class=\"post-teaser\" data-variant=\"post\" data-href=\"https:\/\/www.mr-physik.med.fau.de\/en\/2026\/03\/18\/new-paper-improved-myocardial-sodium-quantification-at-7-t-using-interleaved-23na-1h-ptx-mri-with-motion-and-anatomy-based-b1-correction\/\" tabindex=\"0\" role=\"button\" aria-labelledby=\"teaser-title-3998\"><div class=\"teaser-image-wrapper\"><div class=\"teaser-image\"><img decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Ruck_2026-768x550.jpg\" class=\"attachment-medium_large size-medium_large\" alt=\"New Paper: Improved Myocardial Sodium Quantification at 7\u2009T Using Interleaved 23Na\/1H pTx MRI With Motion and Anatomy-Based B1 Correction\" loading=\"lazy\" srcset=\"https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Ruck_2026-768x550.jpg 768w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Ruck_2026-300x215.jpg 300w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Ruck_2026-1024x734.jpg 1024w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Ruck_2026-1536x1101.jpg 1536w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Ruck_2026-2048x1468.jpg 2048w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Ruck_2026-60x43.jpg 60w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Ruck_2026-335x240.jpg 335w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Ruck_2026-446x320.jpg 446w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Ruck_2026-656x470.jpg 656w\" \/><\/div><div class=\"teaser-meta\"><time datetime=\"2026-03-18 16:13:42\"><span class=\"date-day\">18<\/span><span class=\"date-month-year\">MAR 2026<\/span><\/time><\/div><\/div><div class=\"teaser-content-wrapper\"><div class=\"teaser-content\"><div class=\"content-column\"><span class=\"category\">AG Nagel<\/span><h4 class=\"clamp-3\" id=\"teaser-title-3998\">New Paper: Improved Myocardial Sodium Quantification at 7\u2009T Using Interleaved 23Na\/1H pTx MRI With Motion and Anatomy-Based B1 Correction<\/h4><div class=\"excerpt clamp-3\"><span class=\"visually-hidden\">Congratulations to Laurent Ruck and his co-authors on their recently published article, \u2018Improved Myocardial Sodium Quantification at 7 T Using Interleaved 23Na\/1H pTx MRI With Motion and Anatomy-Based B1 Correction\u2019! This study demonstrates that the accuracy and reproducibility of myocardial sodium quantification in 7 T 23Na MRI is improved by combining retrospective respiratory and cardiac [&hellip;]<\/span><span aria-hidden=\"true\">Congratulations to Laurent Ruck and his co-authors on their recently published article, \u2018Improved Myocardial Sodium Quantification at 7 T Using Interleaved 23Na\/1H pTx MRI With Motion and Anatomy-Based B1 Correction\u2019! This study demonstrates that the accuracy and reproducibility of myocardial sodium quantification in 7 T 23Na MRI is improved by combining retrospective respiratory and cardiac [&hellip;]<\/span><\/div><\/div><div class=\"button-teaser\"><span class=\"wp-block-button__link\"><span class=\"screen-reader-text\">Read more about New Paper: Improved Myocardial Sodium Quantification at 7\u2009T Using Interleaved 23Na\/1H pTx MRI With Motion and Anatomy-Based B1 Correction<\/span><\/span><\/div><\/div><\/div><\/article><\/a><\/li><li><a class=\"teaser-item-link teaser-item\" href=\"https:\/\/www.mr-physik.med.fau.de\/en\/2026\/03\/04\/neues-paper-7-t-potassium-39k-mri-to-assess-muscle-k-depletion-in-primary-aldosteronism\/\"><article class=\"post-teaser\" data-variant=\"post\" data-href=\"https:\/\/www.mr-physik.med.fau.de\/en\/2026\/03\/04\/neues-paper-7-t-potassium-39k-mri-to-assess-muscle-k-depletion-in-primary-aldosteronism\/\" tabindex=\"0\" role=\"button\" aria-labelledby=\"teaser-title-3987\"><div class=\"teaser-image-wrapper\"><div class=\"teaser-image\"><img decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology-768x979.jpg\" class=\"attachment-medium_large size-medium_large\" alt=\"New Paper: 7-T Potassium (39K) MRI to Assess Muscle K+ Depletion in Primary Aldosteronism\" loading=\"lazy\" srcset=\"https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology-768x979.jpg 768w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology-235x300.jpg 235w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology-803x1024.jpg 803w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology-1205x1536.jpg 1205w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology-1606x2048.jpg 1606w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology-47x60.jpg 47w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology-188x240.jpg 188w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology-251x320.jpg 251w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology-369x470.jpg 369w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_KNa_Radiology.jpg 1800w\" \/><\/div><div class=\"teaser-meta\"><time datetime=\"2026-03-04 12:17:47\"><span class=\"date-day\">04<\/span><span class=\"date-month-year\">MAR 2026<\/span><\/time><\/div><\/div><div class=\"teaser-content-wrapper\"><div class=\"teaser-content\"><div class=\"content-column\"><span class=\"category\">AG Nagel<\/span><h4 class=\"clamp-3\" id=\"teaser-title-3987\">New Paper: 7-T Potassium (39K) MRI to Assess Muscle K+ Depletion in Primary Aldosteronism<\/h4><div class=\"excerpt clamp-3\"><span class=\"visually-hidden\">Congratulations to Christoph Kopp, Anke Dahlmann and co-authors on their recently published article \u20187-T Potassium (39K) MRI to Assess Muscle K+ Depletion in Primary Aldosteronism\u2019! In their study, they showed that combined 39K and 23Na MR imaging at 7 Tesla enables non-invasive visualisation of aldosterone-induced electrolyte shifts in muscle tissue in primary aldosteronism. After therapy, [&hellip;]<\/span><span aria-hidden=\"true\">Congratulations to Christoph Kopp, Anke Dahlmann and co-authors on their recently published article \u20187-T Potassium (39K) MRI to Assess Muscle K+ Depletion in Primary Aldosteronism\u2019! In their study, they showed that combined 39K and 23Na MR imaging at 7 Tesla enables non-invasive visualisation of aldosterone-induced electrolyte shifts in muscle tissue in primary aldosteronism. After therapy, [&hellip;]<\/span><\/div><\/div><div class=\"button-teaser\"><span class=\"wp-block-button__link\"><span class=\"screen-reader-text\">Read more about New Paper: 7-T Potassium (39K) MRI to Assess Muscle K+ Depletion in Primary Aldosteronism<\/span><\/span><\/div><\/div><\/div><\/article><\/a><\/li><li><a class=\"teaser-item-link teaser-item\" href=\"https:\/\/www.mr-physik.med.fau.de\/en\/2026\/03\/04\/neues-paper-fat-water-separation-at-7-t-using-a-3d-radial-sequence-with-quasi-continuous-echo-times\/\"><article class=\"post-teaser\" data-variant=\"post\" data-href=\"https:\/\/www.mr-physik.med.fau.de\/en\/2026\/03\/04\/neues-paper-fat-water-separation-at-7-t-using-a-3d-radial-sequence-with-quasi-continuous-echo-times\/\" tabindex=\"0\" role=\"button\" aria-labelledby=\"teaser-title-3977\"><div class=\"teaser-image-wrapper\"><div class=\"teaser-image\"><img decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_ContinuousTE3DRad_Rohe-768x786.jpg\" class=\"attachment-medium_large size-medium_large\" alt=\"New Paper: Fat\/Water Separation at 7 T Using a 3D Radial Sequence With Quasi-Continuous Echo Times\" loading=\"lazy\" srcset=\"https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_ContinuousTE3DRad_Rohe-768x786.jpg 768w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_ContinuousTE3DRad_Rohe-293x300.jpg 293w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_ContinuousTE3DRad_Rohe-1001x1024.jpg 1001w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_ContinuousTE3DRad_Rohe-1501x1536.jpg 1501w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_ContinuousTE3DRad_Rohe-2002x2048.jpg 2002w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_ContinuousTE3DRad_Rohe-60x60.jpg 60w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_ContinuousTE3DRad_Rohe-235x240.jpg 235w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_ContinuousTE3DRad_Rohe-313x320.jpg 313w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/03\/Image_Publication_ContinuousTE3DRad_Rohe-459x470.jpg 459w\" \/><\/div><div class=\"teaser-meta\"><time datetime=\"2026-03-04 12:06:02\"><span class=\"date-day\">04<\/span><span class=\"date-month-year\">MAR 2026<\/span><\/time><\/div><\/div><div class=\"teaser-content-wrapper\"><div class=\"teaser-content\"><div class=\"content-column\"><span class=\"category\">AG Laun<\/span><h4 class=\"clamp-3\" id=\"teaser-title-3977\">New Paper: Fat\/Water Separation at 7 T Using a 3D Radial Sequence With Quasi-Continuous Echo Times<\/h4><div class=\"excerpt clamp-3\"><span class=\"visually-hidden\">Congratulations to Matthias Rohe and co-authors on the recently published article \u201eFat\/Water Separation at 7 T Using a 3D Radial SequenceWith Quasi-Continuous Echo Times&#8220;! In their study, they present a new radial 3D MRI sequence with quasi-continuous echo time sampling, which enables reliable separation of fat and water signals at 7 Tesla. The method provides [&hellip;]<\/span><span aria-hidden=\"true\">Congratulations to Matthias Rohe and co-authors on the recently published article \u201eFat\/Water Separation at 7 T Using a 3D Radial SequenceWith Quasi-Continuous Echo Times&#8220;! In their study, they present a new radial 3D MRI sequence with quasi-continuous echo time sampling, which enables reliable separation of fat and water signals at 7 Tesla. The method provides [&hellip;]<\/span><\/div><\/div><div class=\"button-teaser\"><span class=\"wp-block-button__link\"><span class=\"screen-reader-text\">Read more about New Paper: Fat\/Water Separation at 7 T Using a 3D Radial Sequence With Quasi-Continuous Echo Times<\/span><\/span><\/div><\/div><\/div><\/article><\/a><\/li><li><a class=\"teaser-item-link teaser-item\" href=\"https:\/\/www.mr-physik.med.fau.de\/en\/2026\/01\/27\/neues-paper-overestimation-of-the-apparent-diffusion-coefficient-in-diffusion-weighted-imaging-due-to-residual-fat-signal-and-out-of-phase-conditions\/\"><article class=\"post-teaser\" data-variant=\"post\" data-href=\"https:\/\/www.mr-physik.med.fau.de\/en\/2026\/01\/27\/neues-paper-overestimation-of-the-apparent-diffusion-coefficient-in-diffusion-weighted-imaging-due-to-residual-fat-signal-and-out-of-phase-conditions\/\" tabindex=\"0\" role=\"button\" aria-labelledby=\"teaser-title-3921\"><div class=\"teaser-image-wrapper\"><div class=\"teaser-image\"><img decoding=\"async\" src=\"https:\/\/www.mr-physik.med.fau.de\/files\/2026\/01\/PaperDiff_Dominika_2026-768x858.webp\" class=\"attachment-medium_large size-medium_large\" alt=\"New paper: Overestimation of the Apparent Diffusion Coefficient in Diffusion-Weighted Imaging Due to Residual Fat Signal and Out-of-Phase Conditions\" loading=\"lazy\" srcset=\"https:\/\/www.mr-physik.med.fau.de\/files\/2026\/01\/PaperDiff_Dominika_2026-768x858.webp 768w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/01\/PaperDiff_Dominika_2026-268x300.webp 268w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/01\/PaperDiff_Dominika_2026-916x1024.webp 916w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/01\/PaperDiff_Dominika_2026-1375x1536.webp 1375w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/01\/PaperDiff_Dominika_2026-1833x2048.webp 1833w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/01\/PaperDiff_Dominika_2026-54x60.webp 54w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/01\/PaperDiff_Dominika_2026-215x240.webp 215w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/01\/PaperDiff_Dominika_2026-286x320.webp 286w, https:\/\/www.mr-physik.med.fau.de\/files\/2026\/01\/PaperDiff_Dominika_2026-421x470.webp 421w\" \/><\/div><div class=\"teaser-meta\"><time datetime=\"2026-01-27 11:52:52\"><span class=\"date-day\">27<\/span><span class=\"date-month-year\">JAN 2026<\/span><\/time><\/div><\/div><div class=\"teaser-content-wrapper\"><div class=\"teaser-content\"><div class=\"content-column\"><span class=\"category\">AG Laun<\/span><h4 class=\"clamp-3\" id=\"teaser-title-3921\">New paper: Overestimation of the Apparent Diffusion Coefficient in Diffusion-Weighted Imaging Due to Residual Fat Signal and Out-of-Phase Conditions<\/h4><div class=\"excerpt clamp-3\"><span class=\"visually-hidden\">Congratulations to Maher Dhanani, Dominika Skwierawska and co-authors on the recently published article\u00a0 \u2018Overestimation of the Apparent Diffusion Coefficient in Diffusion-Weighted Imaging Due to Residual Fat Signal and Out-of-Phase Conditions\u2019! This study demonstrates that diffusion-weighted MRI can lead not only to ADC underestimation but also to ADC overestimation when residual fat and water signals are [&hellip;]<\/span><span aria-hidden=\"true\">Congratulations to Maher Dhanani, Dominika Skwierawska and co-authors on the recently published article\u00a0 \u2018Overestimation of the Apparent Diffusion Coefficient in Diffusion-Weighted Imaging Due to Residual Fat Signal and Out-of-Phase Conditions\u2019! This study demonstrates that diffusion-weighted MRI can lead not only to ADC underestimation but also to ADC overestimation when residual fat and water signals are [&hellip;]<\/span><\/div><\/div><div class=\"button-teaser\"><span class=\"wp-block-button__link\"><span class=\"screen-reader-text\">Read more about New paper: Overestimation of the Apparent Diffusion Coefficient in Diffusion-Weighted Imaging Due to Residual Fat Signal and Out-of-Phase Conditions<\/span><\/span><\/div><\/div><\/div><\/article><\/a><\/li><\/ul><\/section>","protected":false},"excerpt":{"rendered":"<p>Welcome to the qMRI lab! The &#8220;q&#8221; in qMRI stands for quantitative as we work on quantiative MRI methods. It moreover stands for q-space. The q-space is the space in which we acquire data in diffusion-weighted MRI (DWI), which is one of our research foci. With DWI, we measure water diffusion in tissue in vivo. [&hellip;]<\/p>\n","protected":false},"author":3987,"featured_media":2715,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"_rrze_cache":"enabled","_rrze_multilang_single_locale":"en_US","_rrze_multilang_single_source":"http:\/\/mr-physik.cms.rrze.uni-erlangen.de\/?page_id=2","_faue_teaser_image_id":0,"footnotes":""},"page_category":[50],"page_tag":[],"class_list":["post-1242","page","type-page","status-publish","has-post-thumbnail","hentry","page_category-general","en-US"],"faue_teaser_image_url":"","_links":{"self":[{"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/pages\/1242","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/users\/3987"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/comments?post=1242"}],"version-history":[{"count":10,"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/pages\/1242\/revisions"}],"predecessor-version":[{"id":4338,"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/pages\/1242\/revisions\/4338"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/media\/2715"}],"wp:attachment":[{"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/media?parent=1242"}],"wp:term":[{"taxonomy":"page_category","embeddable":true,"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/page_category?post=1242"},{"taxonomy":"page_tag","embeddable":true,"href":"https:\/\/www.mr-physik.med.fau.de\/wp-json\/wp\/v2\/page_tag?post=1242"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}