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| 1853.
 | 145 | The Goldilocks zone for 3T MRS studies using semi-LASER: Determining the optimal balance between repetition time and scan time using FSL-MRS Alex Ensworth1,2, Laura Barlow3,4, Piotr Kozlowski1,2,3,4, Erin MacMillan3,4,5, and Cornelia Laule1,2,3,6
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada, 3Radiology, University of British Columbia, Vancouver, BC, Canada, 4UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 5Philips Canada, Mississauga, ON, Canada, 6Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada Keywords: Spectroscopy, Spectroscopy, MRS, T1 weighting, FSL-MRS, repetition time, TR, semi-LASER, 3T, metabolite concentration, brain, grey matter Motivation: A short TR is often used in clinical MRS brain studies, leading to T1-weighting of metabolites and inaccurate T1 correction. Goal(s): To determine the optimal balance between scan time and TR that minimizes T1-weighting effects when using semi-LASER MRS. Approach: SNR and metabolite concentrations were compared for TRs of 2, 5 and 8s using FSL-MRS. Results: A TR of 5s provides a good balance of scan time, SNR and signal recovery. For a similar scan time, TR of 2s leads to incomplete signal recovery and thus heavy T1 weighting, while a TR of 8s results in complete signal recovery but reduced SNR. Impact: For MRS studies using semi-LASER, our work informs scientists and clinicians on the issues of using a short TR, and recommends the optimal scan parameters to use while implementing the newly available FSL-MRS analysis package. |
| 1854.
 | 146 | Analysis of MRS voxel placements in brain tumors performed by MRS experts Sangyoon Lee1,2, Francesca Branzoli3, Ovidiu Andronesi4, Clark Chen5, Alexander Lin6, Roberto Liserre7, Gerd Melkus8, Thanh Nguyen8, Patrick Bolan1, and Małgorzata Marjańska1
1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Department of Radiation Oncology, University of Minnesota, Minneapolis, MN, United States, 3Paris Brain Institute, ICM, Sorbonne University, Paris, France, 4Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 5Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States, 6Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, 7ASST Spedali Civili University Hospital, Brescia, Italy, 8Department of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, Ottawa, ON, Canada Keywords: Spectroscopy, Spectroscopy Motivation: There is no standardized way of prescribing MRS voxels in the lesion. This depends entirely on the MR operator’s expertise and opinion. Goal(s): Our goal was to analyze MRS voxel placements in brain tumors for quantitatively reliable and reproducible voxel placement. Approach: MRS experts placed voxels and visually scored their placements. Placements and scores were compared to tumor characteristics. Results: All experts showed a tendency to place the voxels to fill approximately 30% of voxels with tumor core for different participants. The fraction of tumor core in voxels showed a correlation of 0.76 to the fraction of tumor core in the whole tumor. Impact: Quantitative analysis of MRS voxel
placement shows that MRS experts deemed a voxel properly placed when tumor core
was adequately included, suggesting widely applicable and objective method of voxel
placement and assessment for non-experts in clinical settings. |
| 1855.
 | 147 | Image navigators insensitive to B0 inhomogeneity for optimal prospective motion-corrected MRS Dinesh K Deelchand1, Isaac Adanyeguh1, and Pierre-Gilles Henry1
1Radiology, University of Minnesota, Minneapolis, MN, United States Keywords: Spectroscopy, Spectroscopy Motivation: Navigator-based prospective motion-corrected MRS is often performed with 2nd order shims optimized in the whole brain to prevent degradation of navigator images, resulting in suboptimal linewidth. Goal(s): Here, we report image-based prospective motion correction with 2nd order shims adjusted in the MRS voxel while maintaining good navigator image quality despite the strong B0 inhomogeneity outside the voxel. Approach: This was achieved by segmenting multislice spiral navigator images to reduce blurring artifacts from inhomogeneous B0 fields. Results: High-quality spectra with optimal linewidth were acquired in the presence of subject motion at 3T and 7T, demonstrating the feasibility of this new approach on clinical scanners. Impact: Image-based prospective
motion correction with optimal localized B0 shim (1st and
2nd order) in the MRS voxel is feasible in the human brain at 3T and
7T. |
| 1856.
 | 148 | Effect of LCModel basis set B0 frequency on MRS quantification Dinesh K Deelchand1 and Gülin Öz1
1Radiology, University of Minnesota, Minneapolis, MN, United States Keywords: Spectroscopy, Spectroscopy, LCModel Motivation: The actual B0 resonance field of 3T scanners is different between the three major MR vendors. Goal(s): Here, we report the effect on metabolite quantification of using basis sets at different B0 fields than the B0 frequency of the measured in vivo MRS data. Approach: Basis sets were simulated at thirteen different B0 fields. Semi-LASER MRS data measured from the posterior cingulate cortex at 3T were fitted using LCModel. Results: Results show that biases in metabolite concentrations were within 1% when the basis set B0 frequencies were within ±0.5 MHz from the actual scanner frequency. Impact: A single sequence-specific
basis set can be used to analyze harmonized spectroscopic data collected on
clinical 3T scanners from different vendors that operate at different
frequencies. |
| 1857.
 | 149 | Hyperpolarized 13C MRS acceleration via SABRE-Hyperpolarization and a DIY perfusion system Philipp Ralf Gross1,2, Stefan Petersen3, Henri de Maissin1,4, Eduard Y. Chekmenev5, Maxim Zaitsev3, Henning J. Jessen6, Leif Schröder7, Thomas Reinheckel4,8, Robert Zeiser4,8, Olaf Groß4,8, and Andreas B. Schmidt1,4,5
1Radiology - Medical Physics, University Medical Center Freiburg, Freiburg im Breisgau, Germany, 22. German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany, 3University Medical Center Freiburg, Freiburg im Breisgau, Germany, 4German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany, 5Wayne State University, Detroit, MI, United States, 6Albert-Ludwigs-University of Freiburg, Freiburg im Breisgau, Germany, 7German Cancer Research Center (DKFZ), Heidelberg, Germany, 8Faculty of Medicine, University of Freiburg, Freiburg, Germany Keywords: Hyperpolarized MR (Non-Gas), Perfusion Motivation: Hyperpolarized (HP) in vitro MRS procedures have limited throughput e.g. for drug effect monitoring and longitudinal studies. Goal(s): Our Objective is to facilitate longitudinal HP in vitro MRS studies through rapid delivery of hyperpolarized molecules and integration of a cost-effective, continuous-flow perfusion system. Approach: We have merged fast 13C SABRE-Hyperpolarization of [1-13C]-pyruvate-d3 with a, budget friendly DIY system, allowing for continuous NMR tube perfusion and batch-mode injection of hyperpolarized agents. Results: Our work demonstrates the successful detection of multiple highly polarized pyruvate injections at repetition times as short as 6 minutes, holding potential for HP agent development and studying cell metabolism under therapies. Impact: By combining rapid 13C agent hyperpolarization through SABRE with a cost-effective DIY perfusion system, our approach significantly increases the throughput and temporal resolution of hyperpolarized 13C MRS, unlocking new avenues for imaging agent development, metabolic studies and drug effect monitoring.
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| 1858.
 | 150 | Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation Helge Jörn Zöllner1,2, Christopher Davies-Jenkins1,2, Dunja Simicic1,2, Assaf Tal3, Jeremias Sulam4,5, and Georg Oeltzschner1,2
1The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 4Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, United States, 5Mathematical Institute for Data Science, The Johns Hopkins University, Baltimore, MD, United States Keywords: Spectroscopy, Spectroscopy, linear-combination modeling, dynamic MRS, 2D modeling, fMRS Motivation: Modeling and application of dynamic MRS is receiving growing interest in the community. Goal(s): Accuracy, precision, and uncertainty of 2D modeling algorithms must be carefully characterized. Approach: Here, we generated synthetic spectra of an idealized (single metabolite with a stable signal across transients) conventional 1D-MRS experiment. We then compared accuracy, precision, and uncertainty estimation between a 2D model of all transients without averaging and a 1D model of the averaged spectrum. Results: Both models performed similarly in terms of accuracy and precision. 2D-LCM afforded small benefits for uncertainty estimation for uncorrelated noise and substantial benefits for correlated noise. Impact: For conventional (non-dynamic, multi-transient) MRS data, 2D-LCM without averaging and 1D-LCM after averaging perform similarly accurate and precise. 2D-LCM affords gains in uncertainty estimation that appear to be related to the degree of noise correlation across transients. |
| 1859.
 | 151 | Artifact Simulation Toolbox for GABA-Edited Magnetic Resonance Spectroscopy Hanna Bugler1,2,3,4, Rodrigo Berto1,2,3,4, Roberto Souza3,5, and Ashley D. Harris2,3,4
1Department of Biomedical Engineering, University of Calgary, Calgary, AB, Canada, 2Department of Radiology, University of Calgary, Calgary, AB, Canada, 3Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 4Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada, 5Department of Electrical & Software Engineering, University of Calgary, Calgary, AB, Canada Keywords: Spectroscopy, Spectroscopy, Software Tools, Simulations, Artifacts, Brain Motivation: GABA-edited Magnetic Resonance Spectroscopy (MRS) is a valuable tool used to measure GABA. However, it suffers from low signal to noise ratio. Machine learning has been recently proposed to overcome these challenges but accessing the large amount of in vivo data necessary for training can be difficult. Goal(s): To create a GABA-edited MRS artifact toolbox. Approach: We developed an open-access python toolbox to simulate four common artifacts (ghosting, eddy current effects, lipid contamination and phase/frequency shifts) in GABA-edited MRS. Results: The toolbox will support machine learning algorithm development by complementing existing simulation software and allow for flexible user inputs for data personalization. Impact: Our open-access python toolbox can be used to simulate spurious echoes, eddy currents, lipid contamination and motion artifacts to provide realistic and representative GABA-edited MRS data. This can be used for methods development such as training machine learning algorithms. |
| 1860.
 | 152 | Magnetic Resonance Spectroscopy Data Generation Using Physics-informed Autoencoders Dennis van de Sande1, Sina Amirrajab1, Mitko Veta1, and Marcel Breeuwer1
1Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands Keywords: Spectroscopy, Modelling, Data synthesis Motivation: MRS data can be accurately simulated in terms of metabolite signals, but contributions from macromolecules, lipids, and scan-related imperfections are more challenging to simulate, leading to realism gaps between in-vivo and simulated spectra.
Goal(s): The goal is to bridge the realism gap between in-vivo and simulated MRS spectra for developing downstream deep learning applications. Approach: We propose a physics-informed autoencoder which uses signal-based modules in the encoder and a deep learning-based decoder to generate spectra with in-vivo characteristics. Results: Our physics-informed method effectively narrows the realism gap between in-vivo and simulated spectra with reduced reconstruction scores and increased overlap in spectral feature space. Impact: Our research lays the foundation for a robust hybrid MRS data generation framework which generates realistic MRS data while maintaining the interpretability of physics-based simulations. It will help to generate data for developing downstream deep learning applications for MRS. |
| 1861.
 | 153 | Unlocking Myelin Mysteries: Could 31-Phosphorous Solid-State NMR be the key to quantitative MRI of myelin membrane morphology? Cariad-Arianna Knight1, Alex Ensworth1,2, Cornelia Laule1,2,3,4, Alex L MacKay1,3,5, and Carl A Michal1
1Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries (ICORD), The University of British Columbia, Vancouver, BC, Canada, 3Radiology, The University of British Columbia, Vancouver, BC, Canada, 4Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada, 5UBC MRI Research Centre, The University of British Columbia, Vancouver, BC, Canada Keywords: Non-Proton, White Matter, Myelin Motivation: Improved sensitivity to changes in myelin membranes may be achieved by phosphorous (31P) solid-state NMR (ssNMR), enabling more direct evaluation of neurodegeneration. Goal(s): To demonstrate how ssNMR proton cross-polarization (CP) may be more sensitive to membrane morphology than 31P alone.
Approach: Using porcine neural tissue, we conducted a series of 31P ssNMR experiments that characterize the myelin phospholipid involvement in 31P-CP and CP’s sensitivity to variations in membrane composition, orientation, and dynamics. Results: The CP signal is highly sensitive to the amount and orientation of myelin between grey and white matter samples across neural regions, and may better detect changes in membrane structure. Impact: Improved
sensitivity to subtle variations in myelin membrane morphology using the 31P
ssNMR method of CP has the potential for in vivo MRI use, and could
lead to earlier diagnosis, as well as enhanced disease and treatment
monitoring. |
| 1862.
 | 154 | NAD+(H) Dynamics Using 31P Functional MRS in the Brain: Insights into Energy Metabolism Mechanisms during Visual Stimulation. Antonia Kaiser1, Fatemeh Anvari Vind2, Ileana Jelescu3,4, Mark Stephan Widmaier1,2, Daniel Wenz1, and Lijing Xin1
1Animal imaging and technology core, CIBM Center for Biomedical Imaging, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 2Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Department of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 4School of Biology and Medicine, University of Lausanne, Lausanne, Switzerland Keywords: Spectroscopy, Spectroscopy, functional MRS, visual stimulation, energy metabolism, ultra-high field, 7T Motivation: Alterations in brain nicotinamide adenine dinucleotide (NAD+) levels, as observed in aging, neurodegenerative conditions, and psychiatric disorders, necessitate an in-depth exploration of NAD's functional dynamics. Goal(s): Investigating the feasibility of using 31P functional MRS (fMRS) at 7T to measure NAD+ dynamics during a visual stimulation task. Approach: 32 volunteers were measured using 31P fMRS at 7T, during exposure to an established visual stimulation task. Results: The present study provides evidence for the possibility of measuring NAD+ dynamics in the occipital lobe using 31P fMRS during a visual stimulation task. Furthermore, the use of denoising algorithms may boost sensitivity to detect functional changes.
Impact: Functional 31P MR Spectroscopy could contribute to complex cognitive and clinical studies, investigating energy metabolism deficits. Eventually, this knowledge could contribute to the development of novel therapeutic strategies targeting brain energy deficits associated with neurodegenerative diseases and cognitive impairments. |
| 1863.
 | 155 | A 3/2-channel 1H/13C RF surface coil for localized 13C MRS in the human frontal lobe at 7 T Ying Xiao1,2,3, Bernard Lanz1,2, Daniel Wenz1,2, Katarzyna Pierzchala1,2, and Lijing Xin1,2
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Laboratory for Functional and Metabolic Imaging (LIFMET), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland Keywords: Spectroscopy, Spectroscopy, 13C, RF coil Motivation: Studying cerebral metabolism in the human frontal lobe using 13C MR spectroscopy is of great interest but presents challenges due to the low sensitivity of 13C nuclei and SAR limitations at ultrahigh magnetic fields. Goal(s): Our goal was designed a 3/2-channel 1H/13C RF coil specifically for conducting 13C MRS measurements in the human frontal lobe. Approach: The feasibility and effectiveness of the coil design were demonstrated with bench measurements and the application of adiabatic carbon editing (ACE)-STEAM and ISIS-DEPT sequences. Results: The coil enables the acquisition of naturally abundant 13C metabolite signals in both in vitro and in vivo with high sensitivity. Impact: The
3/2-channel 1H/13C RF coil, designed and optimized for 13C
MRS study in the human frontal lobe, benefits high transmit efficiency and provides
large FOV in the forehead. |
| 1864.
 | 156 | Dual use of nitroxyl radicals as a polarizing agent in hyperpolarization 13C-MRS and as a redox probe in EPR spectroscopy to study acute kidney injury Abdelazim Elsayed Elhelaly1,2, Manal Habaka3, Fuminori Hyodo4,5, Yoshifumi Noda6, Hiroki Kato7, and Masayuki Matsuo6
1Department of Radiology, Frontier Science for imaging, Gifu University, Gifu, Japan, 2Department of Food Hygiene and Control, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, Egypt, 3Animal Health Research Institute, Zagazig Provincial Laboratory, Zagazig, Egypt, 4Center for One Medicine Innovative Translational Research (COMIT), Institute for Advanced Study, Gifu University, Gifu, Japan, 5Department of Radiology, Gifu University, Gifu, Japan, 6Department of Radiology, School of Medicine, Gifu University, Gifu, Japan, 7Gifu University, Gifu, Japan Keywords: Hyperpolarized MR (Non-Gas), Metabolism, Electron Paramagnetic Resonance, Ex vivo Molecular Imaging Motivation: Trityl radicals are the main polarizing agents used for hyperpolarization. However parallel monitoring of metabolic and redox conditions is an unmet need. Goal(s): To use nitroxides as a polarizing agent and as a redox probe simultaneously for the same sample. Approach: Four nitroxyl probes were tested. HyperSense DNP polarizer was used for 13C-pyruvate hyperpolarization.13C-MRS and EPR measurements were performed using same samples. Results: CmP showed the highest hyperpolarization signal. A significant reduction in 13C lactate production and EPR decay rates of CmP during disease progression were confirmed. Impact: We
described successful application of nitroxyl radicals for simultaneous assessment
of energy metabolism and redox status. |
| 1865.
 | 157 | Super-resolution Y-Net for simultaneous 1H MRF/23Na MRI Gonzalo Gabriel Rodriguez1,2, Hector Lise de Moura2, Ilias Giannakopoulos2, Riccardo Lattanzi2,3,4, Ravinder Regatte2,3, and Guillaume Madelin2,3
1NMR Signal Enhancement, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 3Vilcek Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States, 4Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States Keywords: Non-Proton, Non-Proton, Super-resolution, fingerprinting Motivation: To improve resolution for translating sodium MRI into clinical practice. Goal(s): Develop a super-resolution neural network for brain sodium images. Approach: A cascaded Y-Net is proposed to generate high-resolution sodium images from simultaneously acquired 1H MRF/23Na MRI data. Human brain images from 8 healthy subjects were used for training and validation (154), and testing (22). Results: The generated high-resolution sodium images from the Y-Net showed a structural similarity index measure (SSIM) of 0.935, a RMSE=0.034 and a PSNR=28.8 compared with the ground truth. Impact: We introduce a
Y-Net super-resolution neural network that generates high-resolution sodium
images from simultaneously acquired 1H MRF/23Na MRI data. |
| 1866.
 | 158 | Universal parallel transmit pulses for pulse-acquire based whole-brain MRSI Yannik Völzke1, Daniel Löwen1, Eberhard Daniel Pracht1, Lukas Hingerl2, Bernhard Srasser2, Gilbert Hangel2, Wolfgang Bogner2, and Tony Stöcker1,3
1German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 2High-field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Department of Physics and Astronomy, University of Bonn, Bonn, Germany Keywords: Spectroscopy, Spectroscopy Motivation: Using single-channel transmit coils, the $$$B_1$$$ distribution is very inhomogenous in the brain. This leads to flipangle variations and consequently signal loss in a large portion of the brain. Using parallel transmit these variations might be mitigated. Goal(s): The goal of this work is to develop universal slab-selective homogeneuos excitation pulses for whole-brain MRSI acquisitions.
Approach: Slab-selective $$$k_t$$$ points excitation have been calculated under consideration of multiple off-center frequencies. Flip angle homogeneity and excitation phase linearity was examined. Results: Resulting spectra can be quantified using single-channel optimized basis functions. Clear gray matter white matter contrast is visible in metabolic maps
Impact: Universal excitation pulses, especially designed for whole-brain MRSI have been applied to pulse-acquire MRSI. Anatomical features could be found in the metabolic maps, even in the cerebellum. This might be a promising step towards reliable whole-brain MRSI. |
| 1867.
 | 159 | Optimally-truncated SVD and PCA applied to spatio-temporal hyperpolarized 13C cardiac data Anna Bennett1, Hayden Shinn2, Avantika Sinha3, Roselle Abraham3, and Peder EZ Larson3
1Radiology, University of California, San Francisco, San Francisco, CA, United States, 2University of California, Berkeley, Berkeley, CA, United States, 3University of California, San Francisco, San Francisco, CA, United States Keywords: Hyperpolarized MR (Non-Gas), Cardiovascular Motivation: Current hyperpolarized data analysis techniques, first validated for interrogating cancer, are now being utilized for HP 13C cardiac MRI which is metabolically diverse. Goal(s): Our goal was to explore the viability of applying advanced data analysis techniques to previously acquired HP 13C cardiac data to derive novel and potentially impactful information. Approach: We applied optimally-truncated SVD based PCA to fasted and fed state [1-13C] pyruvate images and k-means clustering on resulting data. Results: Low-rank (r=3) PCA results captured sufficient data to represent the pyruvate images and identify plausible separable components of interest. Clustering spatially resolving data sufficiently for potential further constrained analyses. Impact: Hyperpolarized 13C cardiac MRI can be analyzed using PCA to derive novel and potentially impactful voxel-wise analysis. As use of HP 13C MRI expands to new applications, advanced analysis techniques can be utilized to better characterize complex alterations in metabolism. |
| 1868.
 | 160 | Reproducibility Made Easy: A Tool for Methodological Transparency & Efficient Standardized Reporting based on the proposed MRSinMRS Consensus Antonia Susnjar1, Antonia Kaiser2, Gianna Nossa3, Dunja Simicic4,5, and Aaron Gudmundson4,5
1Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 2Animal Imaging and Technology core, CIBM Center for Biomedical Imaging, École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3School of Health Sciences, Purdue University, West Lafayette, IN, United States, 4Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States Keywords: Spectroscopy, Spectroscopy, Reproducibility Motivation: Several consensus papers by MRS experts have addressed data collection, analysis, and reporting standards. Despite this, the usage of the MRSinMRS standardized reporting criteria remain sparsely utilized, impeding research rigor and reproducibility.
Goal(s): To overcome this, the ‘’Reproducibility Made Easy’’ software automates table population and methods section generation, streamlining the process with a single raw dataset, removing manual data entry. Approach: We propose a tool that automatically creates a table from a single MRS raw data file, to make the process of adhering to reproducibility standards easy. Results: The open-source ‘’Reproducibility Made Easy’’ tool can be found here: https://github.com/agudmundson/mrs_in_mrs.
Impact: Integrating the MRSinMRS Consensus Table faces challenges in parameter location within DICOM headers or MRS raw files due to nomenclature variations. "Reproducibility Made Easy" software addresses these issues, enhancing methodological transparency and standardization in research, aligning with MRSinMRS consensus principles. |