Magnetic Resonance Materials in Physics, Biology and Medicine最新文献

{"title":"Correction: Easy scalable, low-cost open-source magnetic field detection system for evaluating low-field MRI magnets using a motion-tracked robot.","authors":"Pavel Povolni, Robin Bendfeld, Sergej Maltsev, Judith Samlow, Felix Glang, Praveen Iyyappan Valsala, Dominique Goerner, Dario Bosch, Sebastian Mueller, Florian Birk, Kai Buckenmaier, Klaus Scheffler","doi":"10.1007/s10334-025-01258-y","DOIUrl":"10.1007/s10334-025-01258-y","url":null,"abstract":"","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"715-716"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443914/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144150985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Open-source, customizable phantom for low-field magnetic resonance imaging.","authors":"Kalina V Jordanova, Stephen E Russek, Kathryn E Keenan","doi":"10.1007/s10334-025-01270-2","DOIUrl":"10.1007/s10334-025-01270-2","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to describe important criteria for phantom design, while designing an open-source phantom that uses accessible materials and fabrication processes, and that can be easily reproduced and modified by others in the MRI research community.</p><p><strong>Materials and methods: </strong>We enumerate considerations related to designing a phantom based on literature and previous experience. We design and use an open-source phantom on a low-field MRI system. The phantom was 3D printed and assembled, and the imaged samples were made from commonly available materials. T1-weighted and T2-weighted axial and coronal images were acquired at 64 mT, and signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and geometric distortion along one dimension were assessed for each image.</p><p><strong>Results: </strong>Two iterations of the phantom design were made to improve the construction materials and overall form factor for imaging. T1-weighted and T2-weighted images showed contrast between samples and background. T2-weighted images had an 8-10× increase in SNR and CNR compared to T1-weighted images. Geometric distortion measurements were within one-pixel spacing for all scans.</p><p><strong>Discussion: </strong>An open-source phantom was created to assess MRI scans at low-field. Future users may modify the phantom to suit their needs. User-designed inserts can be added, allowing for validation of many MRI-related measurements.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"727-739"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443934/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144484885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Easy scalable, low-cost open-source magnetic field detection system for evaluating low-field MRI magnets using a motion-tracked robot.","authors":"Pavel Povolni, Robin Bendfeld, Sergej Maltsev, Judith Samlow, Felix Glang, Praveen Iyyappan Valsala, Dominique Goerner, Dario Bosch, Sebastian Mueller, Florian Birk, Kai Buckenmaier, Klaus Scheffler","doi":"10.1007/s10334-025-01239-1","DOIUrl":"10.1007/s10334-025-01239-1","url":null,"abstract":"<p><strong>Objective: </strong>Low-field magnetic resonance imaging is currently developing into a valuable diagnostic tool due to its simplicity of magnet array designs. Particularly, this allows the development of scanners as part of educational workshops, thus ensuring knowledge transfer and empowering local scientists to design tailored solutions for specific local problems. To obtain the maximum performance, the magnet needs to be shimmed requiring an automated system measuring the spatial magnetic field distribution.</p><p><strong>Methods: </strong>A self-designed measuring probe based on commercial integrated Hall sensor chips is used and optimized by calibrating it in an easy-to-build calibration system. For positioning of the sensor, a low-cost five-degree-of-freedom robot arm is used and improved by camera-based motion tracking for precise localization of the sensor.</p><p><strong>Results: </strong>The system is able to map the field of a <math><mrow><mn>45</mn> <mtext>mT</mtext></mrow> </math> -Halbach desktop MR magnet, as well as a self-designed x-gradient (used inside the magnet) with an efficiency of <math><mrow><mn>2</mn> <mtext>mT</mtext> <mo>/</mo> <mtext>m</mtext> <mo>/</mo> <mtext>A</mtext></mrow> </math> . The built-up Hall sensor demonstrates a level of precision that is competitive with commercial sensors. The entire positioning system can be freely scaled to accommodate larger designs by adjusting the kinematics.</p><p><strong>Conclusion: </strong>The presented system is demonstrated to be comparable to already established measurement systems, while the costs, setup times, and mapping duration are greatly reduced.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"695-714"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443900/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis.","authors":"Antonio Carlos da S Senra Filho, Luiz Otávio Murta Junior, André Monteiro Paschoal","doi":"10.1007/s10334-024-01185-4","DOIUrl":"10.1007/s10334-024-01185-4","url":null,"abstract":"<p><strong>Object: </strong>Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are well-known and powerful imaging techniques for MRI. Although DTI evaluation has evolved continually in recent years, there are still struggles regarding quantitative measurements that can benefit brain areas that are consistently difficult to measure via diffusion-based methods, e.g., gray matter (GM). The present study proposes a new image processing technique based on diffusion distribution evaluation of López-Ruiz, Mancini and Calbet (LMC) complexity called diffusion complexity (DC).</p><p><strong>Materials and methods: </strong>The OASIS-3 and TractoInferno open-science databases for healthy individuals were used, and all the codes are provided as open-source materials.</p><p><strong>Results: </strong>The DC map showed relevant signal characterization in brain tissues and structures, achieving contrast-to-noise ratio (CNR) gains of approximately 39% and 93%, respectively, compared to those of the FA and ADC maps.</p><p><strong>Discussion: </strong>In the special case of GM tissue, the DC map obtains its maximum signal level, showing the possibility of studying cortical and subcortical structures challenging for classical DTI quantitative formalism. The ability to apply the DC technique, which requires the same imaging acquisition for DTI and its potential to provide complementary information to study the brain's GM structures, can be a rich source of information for further neuroscience research and clinical practice.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"653-663"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141788568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Clinical validation of fully automated cartilage transverse relaxation time (T2) and thickness analysis using quantitative DESS magnetic resonance imaging.","authors":"Wolfgang Wirth, Simon Herger, Susanne Maschek, Anna Wisser, Oliver Bieri, Felix Eckstein, Annegret Mündermann","doi":"10.1007/s10334-025-01255-1","DOIUrl":"10.1007/s10334-025-01255-1","url":null,"abstract":"","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"745"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144000925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing MRI, together: open science in MR research.","authors":"Andreia Gaspar, Martijn Nagtegaal, Francesco Santini, Sophie Schauman, Mo Shahdloo, Petra J Van Houdt, Yu-Feng Wang, Andrew Webb","doi":"10.1007/s10334-025-01286-8","DOIUrl":"10.1007/s10334-025-01286-8","url":null,"abstract":"","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"635-638"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144959579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing sustainable magnetic resonance imaging access in Africa: review of clinical performance of MRI scanners using ACR MagPhan in Ghana.","authors":"Shirazu Issahaku, Francis Hasford, Theophilus A Sackey","doi":"10.1007/s10334-025-01240-8","DOIUrl":"10.1007/s10334-025-01240-8","url":null,"abstract":"","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"741-743"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143542470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Open-source, MRI-compatible grip force sensor for dynamic muscle imaging.","authors":"Sabine Räuber, Regina Schlaeger, Marta Brigid Maggioni, Francesco Santini","doi":"10.1007/s10334-025-01282-y","DOIUrl":"10.1007/s10334-025-01282-y","url":null,"abstract":"<p><strong>Objective: </strong>Dynamic MRI synchronised with neuromuscular electrical stimulation (NMES) offers a reproducible method for assessing muscle activity but requires MRI-compatible force sensors to correlate quantitative muscle dynamics parameters with muscle force output. Most available sensors are expensive, rely on non-free software or are MR-incompatible This work presents an open-source, low-cost, MR-compatible grip force sensor as a viable alternative to commercial devices.</p><p><strong>Materials and methods: </strong>Phantom measurements were performed with and without the sensor at a 3T MRI to assess the MRI compatibility and its impact on image quality, field homogeneity and signal-to-noise ratio (SNR). Furthermore, the force sensor was integrated into a dynamic MRI setup with NMES and applied in vivo to four subjects.</p><p><strong>Results: </strong>The force sensor demonstrated good compatibility with a 3 T MRI scanner, exhibiting minimal SNR reduction and minimal increase in B₀ inhomogeneities in phantom measurements. During dynamic MRI with NMES, a 2D in-plane phase-contrast MRI sequence successfully retrieved the muscle's velocity field, proving effective for dynamic MRI applications, while preserving image quality.</p><p><strong>Discussion: </strong>The design of the force sensor, building instructions and software are publicly released as open source. This allows the proposed sensor to be adapted in multiple applications where grip force needs to be recorded in an MR scanner.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"717-725"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443942/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144707965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gpu-accelerated JEMRIS for extensive MRI simulations.","authors":"Aizada Nurdinova, Stefan Ruschke, Michael Gestrich, Jonathan Stelter, Dimitrios C Karampinos","doi":"10.1007/s10334-025-01281-z","DOIUrl":"10.1007/s10334-025-01281-z","url":null,"abstract":"<p><strong>Purpose: </strong>To enable accelerated Bloch simulations by enhancing the open-source multi-purpose MRI simulation tool JEMRIS with graphic processing units (GPU) parallelization.</p><p><strong>Methods: </strong>A GPU-compatible version of JEMRIS was built by shifting the computationally expensive parallelizable processes to the GPU to benefit from heterogeneous computing and by adding asynchronous communication and mixed precision support. With key classes reimplemented in CUDA C++, the developed GPU-JEMRIS framework was tested on simulations of common MRI artifacts in numerical phantoms. The accuracy and performance of the GPU-parallelized JEMRIS simulator were benchmarked against the CPU-parallelized JEMRIS and GPU-enabled KomaMRI.jl simulators. Additionally, an example of liver fat quantification errors due to respiratory motion artifacts was simulated in a multi-echo gradient echo (MEGRE) acquisition.</p><p><strong>Results: </strong>The GPU-accelerated JEMRIS achieved speed-up factors 3-12 and 7-65 using double and single precision numerical integrators, respectively, when compared to the parallelized CPU implementation in the investigated numerical phantom scenarios. While double precision GPU simulations negligibly differ (<0.1% NRMSE) from double precision CPU simulations, the single precision simulations still present small errors of up to 1% k-space signal NRMSE. The developed a GPU extension enabled computationally demanding motion simulations with a multi-species abdominal phantom and a MEGRE sequence, showing significant and spatially varying fat fraction bias in the presence of motion.</p><p><strong>Conclusion: </strong>By solving the Bloch equations in parallel on device, accelerated Bloch simulations can be performed on any GPU-equipped device with CUDA support using the developed GPU-JEMRIS. This would enable further insights into more realistic large spin pool MR simulations such as experiments with large multi-dimensional phantoms, multiple chemical species and dynamic effects.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"679-694"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443918/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144992881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Open-source cardiac magnetic resonance fingerprinting.","authors":"Patrick Schuenke, Catarina Redshaw Kranich, Max Lutz, Jakob Schattenfroh, Matthias Anders, Philine Reisdorf, Jeanette Schulz-Menger, Ingolf Sack, Jesse Hamilton, Nicole Seiberlich, Christoph Kolbitsch","doi":"10.1007/s10334-025-01269-9","DOIUrl":"10.1007/s10334-025-01269-9","url":null,"abstract":"<p><strong>Purpose: </strong>Cardiac magnetic resonance fingerprinting (cMRF) is a powerful quantitative imaging technique that provides multi-parametric diagnostic information. Here, we introduce an open-source framework for cardiac MRF including open-source pulse sequences, image reconstruction, and parameter estimation tools that are needed for the processing of the data.</p><p><strong>Methods: </strong>A 2D cMRF sequence with a variable-density spiral readout is implemented using the open-source and vendor-agnostic sequence format Pulseq. Cardiac triggering is used to synchronize acquisition with the rest period of the heart. <math><msub><mi>T</mi> <mn>1</mn></msub> </math> inversion and <math><msub><mi>T</mi> <mn>2</mn></msub> </math> preparation pulses are added to ensure accurate parameter estimation. Data acquisition is carried out over 15 heartbeats. The images showing the signal changes over time are reconstructed and matched to a pre-calculated signal dictionary. In addition to the cMRF sequence, spin-echo reference sequences for quality control in phantoms are provided. The method is evaluated in phantom experiments using a T1MES phantom on four different scanners. In vivo experiments were performed to compare the open-source cMRF sequence with a vendor-specific cMRF sequence and clinical sequences used for <math><msub><mi>T</mi> <mn>1</mn></msub> </math> and <math><msub><mi>T</mi> <mn>2</mn></msub> </math> mapping of the heart. Three volunteers were imaged on two different scanners.</p><p><strong>Results: </strong>The error of <math><msub><mi>T</mi> <mn>1</mn></msub> </math> and <math><msub><mi>T</mi> <mn>2</mn></msub> </math> over all tissue types present in the T1MES phantom was comparable between all four scanners and on average 4.50 ± 2.48%. <math><msub><mi>T</mi> <mn>1</mn></msub> </math> and <math><msub><mi>T</mi> <mn>2</mn></msub> </math> maps obtained in vivo were comparable between the open-source and vendor-specific implementation of cMRF.</p><p><strong>Conclusion: </strong>The proposed open-source cMRF implementation enables accurate parameter estimation across multiple different scanners. Sequence files, image reconstruction, and parameter estimation scripts are available for reproducible quantitative MRI.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"665-677"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443904/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}