bluuebunny/crossref_metadata_2025 huggingface dataset:
Disconnectome Associated with Progressive White Matter Hyperintensities in Brain Ageing
Authors: Li Meng , Habes Mohamad , Detre John
Published: August 2023

White matter hyperintensities (WMH) are commonly seen in older adults and are associated with an increased risk of cognitive decline and dementia, though the mechanism by which WMH cause cognitive decline are incompletely characterized. In this study, we estimated changes in the structural connectome due WMH with aging using WMH lesion frequency maps derived from a population based study as regions of avoidance for DTI tractography on healthy subject DTI data. We found that subcortical connections to frontal cortex are affected in the 50’s and 60’s, with more widespread disconnection increasing more rapidly in the 70’s and 80’s. However, even in the oldest subjects, most edges were only partially disconnected.
Rapid myelin water fraction mapping through the combination of artificial neural network and under sampled mcDESPOT data
Authors: Gong Zhaoyuan , Khattar Nikkita , Kiely Matthew , Triebswetter Curtis , Alsameen Maryam , Bouhrara Mustapha
Published: August 2023

The Myelin water fraction (MWF) measure provides a direct assessment of myelin content. The widely utilized method is the multicomponent analysis of T2 relaxation time and MWF is determined by the fraction of the fast-relaxing component. However, using either conventional or advanced methods, such as the BMC-mcDESPOT, requires prolonged acquisition and computation times, hampering their integration in clinical investigations. In this proof-of-concept work, we propose artificial neural network models to derive MWF maps from under sampled mcDESPOT data through two distinct approaches. This work opens the way to further developments for practical and rapid MWF imaging.
Exploring the potential of StyleGAN projection for quantitative maps from diffusion-weighted MR images
Authors: Güllmar Daniel , Hsu Wei-Chan , Ropele Stefan , Reichenbach Jürgen
Published: August 2023

Synthetic medical images can be generated with a StyleGAN and are indistinguishable from real data even by experts. However, the projection of real data via latent space onto a synthetic image shows clear deviations from the original (at least on the second image). This plays a major role especially when using GANs to perform tasks such as image correction (e.g. noise reduction), image interpolation or image interpretation by analyzing the latent space. Based on the results shown, it is highly recommended to perform an analysis of the projection accuracy before applying any of these applications.
Comparing 1.5T MRI RF Heating Based on SAR vs. B1+RMS MR Conditional Labeling
Authors: Sison Shiloh , Behzadian Negin
Published: August 2023

With the emergence of B1+RMS as a more precise RF exposure metric than SAR, implantable device manufacturers have begun MR Conditional labeling to fixed B1+RMS levels, in addition to SAR labeling. We previously characterized the relationship between wbSAR-scaled and B1+RMS-scaled RF heating of cardiac pacing leads in the context of 3T Normal Operating Mode and First Level Controlled Mode MRI exposure [1]. In this study, we extend the analysis to 1.5T.
The Potential of AI-Based Clinical Text Mining to Improve Patient Safety: the Case of Implant Terms and Patient Journals
Authors: Santini Marina , Jerdhaf Oskar , Karlsson Anette , Eneling Emma , Stridsman Magnus , Jönsson Arne , Lundberg Peter
Published: August 2023

It is important for radiologists to know in advance if a patient has an implant, since MR-scanning is incompatible with some implants. At present, the unbiased process to ascertain whether a patient could be at risk is manual and not entirely reliable. We argue that this process can be enhanced and accelerated using AI-based clinical text-mining. We therefore investigated the automatic discovery of medical implant terms in electronic-medical-records (EMRs) written in Swedish using an AI-based text mining algorithm called BERT. BERT is a state-of-the-art language model trained using a deep learning algorithm based on transformers. Results are promising.
Addressing ultra highfield MRI challenges in ex-vivo
Authors: Farhat Nadim , Jin Heching , Santini Tales , Martins Tiago , Berardinelli Jacob , Schweitzer Noah , AlKhateeb Salem , Ikonomovic Milos , Kofler Julia , Mettenburg Joseph , Aizenstein Howard , Ibrahim Tamer
Published: August 2023

We present a comprehensive ex-vivo brain ultra-high field ex-vivo brain MRI workflow that addresses transmit magnetic field in-homogeneities without the need to build a dedicated ex-vivo coil. Additionally, we show that 7T T1w ex-vivo with high quality grey to white matter contrast is feasible with MP2RAGE .
Development and evaluation of a comprehensive array of gray matter labels for the MIITRA atlas: Interoperability with complementary atlases
Authors: Niaz Mohammad Rakeen , Ridwan Abdur Raquib , Wu Yingjuan , Zhang Shengwei , Bennett David A. , Arfanakis Konstantinos
Published: August 2023

The Multichannel Illinois Institute of Technology & Rush university Aging (MIITRA) atlas constructed using high quality MRI data on a large (N=400), diverse, community cohort of non-demented older adults, contains high resolution (0.5mm isotropic) structural and diffusion tensor imaging templates. The purpose of this work was to build and evaluate a comprehensive array of gyral-based, cytoarchitecture-based, and functional connectivity-based gray matter labels in MIITRA space in order to enhance the functionality of the MIITRA atlas and its interoperability with complementary atlases.
Correlates of Perivascular Spaces Volume Based on Automated Segmentation of T1-weighted MRI
Authors: Zhao Sichen , Tackett William , Shakibajahromi Banafsheh , Dolui Sudipto , Nasrallah Ilya , Wolk David , McMillan Corey , Sepehrband Farshid , Detre John
Published: August 2023

Perivascular spaces (PVS) are a component of the glymphatic system, the brain-wide waste drainage pathway, but the pathophysiological significance of enlarged perivascular space volume is incompletely characterized. We obtained PVS segmentations from 167 cognitively intact or mildly symptomatic older subjects from high-resolution T1-weighted MRI using an automated approach and correlated PVS volume with both amyloid status, as determined by amyloid PET, and cortical thickness changes from normative values. Automated PVS segmentations required additional masking of CSF spaces and manual exclusion of some lacunar infarcts. PVS volume was correlated with brain atrophy and not amyloid status.
AI-based Image Reconstruction of kt-accelerated Intracranial Dual-Venc 4D Flow MRI
Authors: Berhane Haben , Moore Jackson , Ragin Ann , Russell Eric , Caprio Fan , Schnell Susanne , Ansari Sameer , Markl Michael
Published: August 2023

4D flow MRI provides a comprehensive assessment of hemodynamics through the 3D visualization and quantification of blood flow. However, its current clinical usage is hindered by long scan times. Recent developments have shown deep learning to be highly effective in accelerating image reconstruction, but no study has shown the its effectiveness in reconstructing highly undersampled cerebrovascular 4D flow MRI data. As such, we developed a CNN for the reconstruction of kt-accelerated intracranial dual-venc 4D flow MRI (R=5). We found that the CNN showed excellent SSIM values (0.94[0.93-0.95]) and moderate-to-good net flow and peak velocity agreement with the conventionally reconstructed data.
Distributed memory-efficient deep learning reconstruction for improved SIMBA whole-heart coronary MRI
Authors: Zhang Chi , Romanin Ludovica , Piccini Davide , Moeller Steen , Stuber Matthias , Akçakaya Mehmet
Published: August 2023

SImilarity-driven Multi-dimensional Binning Algorithm (SIMBA) is a recently proposed technique for identifying motion-consistent clusters in free-running whole-heart MRA acquisitions, where the clusters are subsequently reconstructed using conventional approaches. Physics-guided deep learning (PG-DL) reconstruction has gained popularity with its superior performance at higher acceleration rates and may further improve the image quality of free-running whole-heart MRA in conjunction with SIMBA. However, PG-DL is difficult to apply to 3D non-Cartesian acquisitions due to hardware limitations. In this work we enable distributed memory-efficient PG-DL for large-scale SIMBA datasets, showing preliminary results in which PG-DL improves image quality compared to conventional methods.
Highly Accelerated Free-Breathing Real-Time 2D Flow Imaging using Compressed Sensing and Shared Velocity Encoding
Authors: Xiong Fei , Jin Ning , Emrich Anna , Hall SarahRose , Ruddy Jeanie , Aldinger Jonathan , Young Gabrielle , Schoepf U Joseph , Giese Daniel , Emrich Tilman , Varga-Szemes Akos
Published: August 2023

We aim to demonstrate the feasibility of a highly accelerated, free-breathing RT PC technique empowered by compressed sensing (CS) and shared velocity encoding (SVE) which allows a scan time less than 5s and fast inline image reconstruction.
Dynamic 3D T1 MRI method for T1-based Quantification of DCE for the Measurements of kinetic Parameters on Carotid Atherosclerotic Plaques
Authors: Kim Seong-Eun , Roberts John , MacNally J. Scott , Alexander Mathew , Treiman Gerald , Baradaran Hediyeh , Parker Dennis
Published: August 2023

This work introduced a reliable, comprehensive carotid DCE technique, including a high spatial and temporal resolution 3D dynamic T1 sequence and retrospective reconstruction methods to measure kinetic parameters on carotid atherosclerotic plaque. This technique can be used to evaluate the correlation between kinetic parameters and ischemic stroke. We believe that plaque kinetic parameters can be used in subsequent clinical trials as a changeable predictor of ischemic stroke risk. Clinicians could then use carotid DCE to monitor early response to medical therapy, and thereby improve detection and treatment of unstable carotid plaque and prevention of stroke.
Parametric ATT and CBF Mapping Using a Three-Dimensional Convolutional Neural Network
Authors: Kim Donghoon , Lipford Megan , He Hongjian , Ding Qiuping , Ivanovic Vladimir , Lockhart Samuel , Craft Suzanne , Whitlow Christopher , Jung Youngkyoo
Published: August 2023

A CNN algorithm was proposed to estimate ATT and CBF simultaneously, using multi-TI ASL, acquiring ASL images at multiple PLDs. Hierarchical structure of CNN was used to reduce the estimation error of ATT and CBF. The proposed method successfully estimated ATT and CBF maps using reduced numbers of TIs or averages with a higher accuracy than a conventional non-linear model fitting. The successful estimation of ATT and CBF using our H-CNN may allow a total scan time reduction with a smaller number of TIs or averages and improvements of image quality when a part of acquisition is corrupted.
Comparison of Velocity Selective ASL and PCASL

with Phase-Contrast MRI for Measuring

CO2-induced Cerebrovascular Reactivity
Authors: Xu Feng , Xu Cuimei , Liu Dapeng , Zhu Dan , Lu Hanzhang , Qin Qin
Published: August 2023

Saturation based velocity-selective ASL (VSASL) was recently investigated for acetazolamide challenge and notably lower cerebrovascular reactivity (CVR) was observed when comparing to PET results. Here we compared the performance of velocity-selective inversion (VSI) prepared ASL and pseudo-continuous ASL in response to the hypercapnia challenge for CO2-induced CVR quantification with phase-contrast MRI as a global reference. VSI-ASL could underestimate the regional CVR when the trailing edge of the labeled bolus arrive before the PLD as the CBF during hypercapnia would be underestimated. In contrast, PCASL could overestimate CVR in areas with long ATT as the baseline CBF would be underestimated.
Cerebral Blood Flow Patterns in Term and Premature Neonates measured at Term-Equivalent-Age: a PCASL study
Authors: Chiarelli Antonio , Piccirilli Eleonora , Sestieri Carlo , Mascali Daniele , Biondetti Emma , Ferretti Antonio , Wise Richard , Caulo Massimo
Published: August 2023

During the perinatal period the brain undergoes extensive development, including increasing brain perfusion and metabolism. More rapidly modifying brain areas may be more sensitive to insults and transient hypoxic states. We performed PCASL on 115 infants at term equivalent age (TEA) with variable gestational age at birth. Insular-subcortical and somato-motor regions exhibited high grey matter CBF(GM) in both term and preterm newborns. However, premature neonates showed a redistribution of perfusion compared to term infants, with somato-motor regions showing even higher CBFGM. These results suggest that insular-subcortical and somato-motor regions may reflect brain health and development at TEA.
Evaluation of Sex and Age Differences in Myocardial Microstructure using Cardiac Diffusion Tensor Imaging
Authors: Chen Shi , Coll-Font Jaume , Eder Robert , Foster Anna , Yurista Salva , Nguyen Christopher
Published: August 2023

Sexes and ages are known factors that contribute to cardiovascular pathophysiological variances and prognosis. This study used in-vivo cardiac diffusion tensor MRI (DT-MRI) to characterize how myocardial microstructure differs across sexes and ages. To that purpose, thirty healthy volunteers (14 female) were imaged with in-vivo cardiac DT-MRI and common DT-MRI parameters (MD, FA, HAT, E2A) were computed within the left ventricle (LV). No significant sex-related differences (11%, 9%, 3%, 9% respectively for MD, FA, HAT, E2A at septal regions) or age-related correlations were found. Taken together, sex and age had no effects on the quantification of in-vivo cardiac DT-MRI parameters.
Confirming conduction defect in fatty acid oxidation compromised heart using MRI strain imaging
Authors: Ibrahim El-Sayed , Jarzembowski Jason , Kumar Suresh
Published: August 2023

Healthy heart is a metabolically dynamic organ requiring large energy resource, and fatty acid oxidation (FAO) pathway predominantly supports this energy demands. Disorders of FAO pathways could range from mild and manageable to severe and life-threatening. In this study, we use MRI to evaluate the heart function in mitochondrial trifunctional protein (MTP) mutant rats, where clinical symptoms of this disorder overlap with other less severe FAO deficiencies and are often misdiagnosed. The results showed that MRI strain imaging revealed subclinical cardiac dysfunction in the MTP mutant rats with the degree of strain reduction depending on strain direction and regional location.
PET Synthesis from Multi-Contrast MRI with Attention-Based 3D Encoder-Decoder Networks
Authors: Hussein Ramy , Shin David , Zhao Moss , Guo Jia , Moseley Michael , Zaharchuk Greg
Published: August 2023

We present an attention-based 3D convolutional encoder-decoder network to synthetize PET Cerebral Blood Flow (CBF) maps from multi-parametric MRI images without using radioactive tracers. Inputs to the prediction model are structural MRI (T1 and T2 fluid-attenuated inversion recovery [FLAIR]), and arterial spin labeling (ASL) perfusion MRI images. Results show that encoder-decoder networks, with attention mechanisms and customized loss functions, can adequately combine multiple MRI image types and predict the gold-standard oxygen-15-water PET CBF maps. Adequate quantification of PET from MRI has a great potential for increasing the accessibility of cerebrovascular diseases assessment for underserved populations, underprivileged communities, and developing nations.
Correlation between T1, T1rho, T2*, MMF, and Biomechanics in Human Interspinous Ligament Using quantitative Ultrashort Echo Time (UTE) MRI
Authors: Lombardi Alecio , Jerban Saeed , Ma Ya-Jun , Blais Micah , Eastlack Robert , Mundis Gregory , Du Jiang , Chang Eric , Shahidi Bahar
Published: August 2023

This study aimed to quantify T1, T1rho, T2*, and MMF values of the human interspinous ligament using 3D ultrashort echo time (UTE) cones MRI and correlate them with biomechanical properties. We found a significant negative correlation between T1 and elastic modulus; significant moderate to strong negative correlations between T1rho and both tensile stress and maximum load; and significant moderate to strong positive correlations between MMF and both tensile stress and maximum load. There was an overall trend towards negative correlation between T2* and biomechanical properties.
Structural covariance of diffusion metrics in mild COVID19: Spatially coherent effect on fractional anisotropy but not free water.
Authors: Teller Nick , Chad Jordan A. , Roudaia Eugenie , Hashemi Ali , Grosbein Haddas , Gilboa Asaf , Goubran Maged , Cheng Ivy , Black Sandra E. , Fowler Robert , Heyn Chris , Gao Fuqiang , Masellis Mario , Rabin Jennifer , Ji Xiang , Jegatheesan Aravinthan , Lam Benjamin , Sekuler Allison B. , MacIntosh Bradley J. , Graham Simon J. , Chen J. Jean
Published: August 2023

The impact of COVID19 on the brain’s microstructural integrity remains unclear. In this study, we examine self-isolated COVID19 patients and controls using diffusion-tensor and free-water imaging, based on single- and multi-shell acquisitions, respectively. We identify several differences in spatial covariance among patients in fractional anisotropy (in cingulate-frontal and temporal-parietal regions), but not free water fraction. Our results indicate COVID19’s implications in long-term, measurable brain deficits.
High White Matter Fractional Anisotropy and Low Diffusivity in Participants with Post-acute Sequelae SARS-CoV-2 Infection
Authors: Liang Huajun , Ernst Thomas , Oishi Kenichi , Ryan Meghann , Wilson Eleanor , Levine Andrea , Cunningham Eric , Kottilil Shyamasundaran , Chang Linda
Published: August 2023

Diffusion tensor imaging (DTI), a sensitive method to detect inflammatory or cytotoxic tissue changes, has been used to study brain microstructure in patients with COVID-19. At 2-3 months post-acute sequelae SARS-CoV-2 infection (PASC), prior reports found both higher or lower than normal white matter diffusivity in participants who had variable severity of clinical manifestations. We performed DTI and neuropsychiatric assessments in 20 participants with PASC. Individuals with PASC had lower diffusivity 6 months after the diagnosis, which correlated with greater fatigue. These diffusion findings may be due to glial proliferation and immune-response related cytotoxic edema.
Predicting Stereotactic Radiosurgery Dose Maps from Pre-Therapy MR Images using a Deep Neural Network
Authors: Pandey Shraddha , Kutuk Tugce , Mills Matthew , Abdalah Mahmoud , Stringfield Olya , Latifi Kujtim , Robinson Timothy , Moreno Wilfrido , Ahmed Kamran , Raghunand Natarajan
Published: August 2023

Stereotactic Radiosurgery (SRS) of asymptomatic brain metastases provides lasting tumor control with only minor side effects to healthy brain. An active research area is the development of models to predict tumor response to a given dose of Radiation Treatment (RT) from analysis of pre-RT and post-RT MR images (i.e., the forward problem). Here we propose an approach to train a deep neural net on pre-RT MR images of patients with Breast Cancer Metastases to the Brain (BCMB), for predicting RT dose maps that will yield desired/target tumor voxel intensities on post-RT MR images (i.e., the inverse problem).
Quantifying the uncertainty of neural networks using Monte Carlo dropout
for safer and more accurate deep learning based quantitative MRI
Authors: Avci Mehmet , Li Ziyu , Fan Qiuyun , Huang Susie , Bilgic Berkin , Tian Qiyuan
Published: August 2023

Neural networks reduce the data requirement for deep learning-based quantitative MRI, nonetheless their uncertainty/confidence has rarely been characterized. We implemented Monte Carlo dropout, a Bayesian approximation of Gaussian process, using U-Net that include dropout layers (active during training and inference) to address this. The uncertainty was calculated as the variance of predictions from 100 different dropout configurations. The estimates were calculated as the average of predictions. The proposed method also achieved higher accuracy in estimating FA and MD from only 3 diffusion-weighted images compared to standard U-Net, which was readily usable for other MRI applications (reconstruction, super-resolution, denoising, segmentation, classification).
Highly Accelerated Multiple Parametric MR Imaging with Wave-CAIPI and MULTIPLEX
Authors: Wang Haifeng , Ye Yongquan , Liu Congcong , Lv Jingyuan , Qiu Zhilang , Liu Xin , Xu Jian , Liang Dong , Zheng Hairong
Published: August 2023

A novel single-scan hybrid 3D imaging method using Wave-CAIPI and MULTIPLEX technologies, named as WAMP, is proposed for 3D high-resolution rapid imaging. One single scan of the proposed rapid imaging method not only generates simultaneous B1t and T1 maps, but also qualitative images of T1W, PDW, T2*W, augmented T1W (aT1W), SWI and MRA, as well as parametric maps of T2* (R2*), PD and QSM. The in vivo experiments have showed that the proposed method could rapidly achieve high image quality and high quantification accuracy at the high acceleration factors in clinical applications.
High resolution 3D whole brain T1, T2, T2* and QSM mapping within 3.5 mins
Authors: Zhang Jinwei , Nguyen Thanh , Solomon Eddy , Zhang Hang , Li Chao , Dimov Alexey , Spincemaille Pascal , Wang Yi
Published: August 2023

A 3D whole brain T1, T2, T2*, QSM mapping pipeline was proposed for fast multi-parametric quantitative imaging. A multi-echo gradient echo (mGRE) sequence with varying sampling patterns along echoes was implemented to acquire signals for T2* and QSM mapping. A multi-contrast MR fingerprinting (MRF) sequence with both inversion recovery and T2 preparation pulses and varying sampling patterns among contrasts was implemented to acquire signals for T1 and T2 mapping. A deep ADMM network was used to reconstruct mGRE images. The magnitude image from reconstructed mGRE images was used to guide the reconstruction of MRF images with directional joint TV regularization.
Application of the template-based attenuation correction to simultaneous MR-PET brain imaging of non-human primates
Authors: Yoo Chi-Hyeon , DuBois Jonathan , Wang Lu , Liang Steven , Izquierdo-Garcia David , Wey Hsiao-Ying
Published: August 2023

The goal of this study was to generate a population-based template/atlas and apply the template/atlas-based attenuation correction (AC) method for simultaneous positron-emission-tomography/magnetic-resonance-imaging (PET/MRI) neuroimaging studies on non-human primates (NHPs). Population-based template/atlas of computed tomography image and anatomical MRI, were generated from ten NHPs (rhesus macaque). By using the generated template/atlas, the linear attenuation coefficient (LAC) of objects can be reliably derived, showing good differentiation for tissues, also skull and air. Comparison of the PET images reconstructed by the template/atlas-based and simple threshold-based AC has shown that the template/atlas-based AC can increase PET signal by avoiding overcompensation of attenuation.
Combined Stiffness and PDFF Phantom for Quality Assurance of Quantitative Magnetic Resonance Elastography and Fat Fraction Imaging
Authors: Rutkowski David , Roldán-Alzate Alejandro , Guerrero-González José , Hernando Diego , Reeder Scott , Brittain Jean
Published: August 2023

MRI proton density fat fraction (PDFF) and MR elastography (MRE) methods are frequently used to evaluate patients with known or suspected NAFLD or NASH. Reference standards (phantoms) are needed for quality assurance of these methods. Currently available phantoms mimic only a single tissue property. A phantom that simultaneously mimics PDFF and tissue stiffness would more realistically mimic NAFLD/NASH tissue and would enable robust and convenient quality assurance. In this work, a chemical formulation and phantom configuration were developed for a multi-layer combined PDFF-MRE phantom, in which each layer simultaneously mimics different PDFF and stiffness values.
Evaluation of High Resolution Diffusion MRI on the Next-Generation 7T scanner
Authors: Vu An , Beckett Alexander , Torrisi Salvatore , Ahn Sinyeob , Koehler Michael , Dietz Peter , Feinberg David
Published: August 2023

The newly developed head gradient (200 mT/m Gmax, 900 T/m/s SR) on the new NexGen 7T system provides many potential benefits for high-resolution diffusion imaging. Faster, stronger gradients can significantly reduce diffusion encoding times and TE for up to a 3-fold improvement SNR while also reducing TR and total scan time. We demonstrate these benefits in high resolution diffusion imaging applications with b-values of up to 10,000 s/mm2 at 7T.
Validation of motion-robust, blood-suppressed, reduced-distortion liver diffusion techniques in a pulsatile motion phantom
Authors: Geng Ruiqi , Rice James , Zhang Yuxin , Rutkowski David , Roldán-Alzate Alejandro , Guidon Arnaud , Hernando Diego
Published: August 2023

Conventional liver diffusion MRI acquisitions suffer from several challenges including pulsatile motion-induced signal voids and B0-induced distortions. In this study, we validated motion-robust, blood-suppressed, reduced-distortion liver diffusion techniques in an anatomically accurate liver phantom including controlled pulsatile motion. By combining optimized motion-compensated, blood-suppressed diffusion waveforms (i.e. MODI) with msEPI acquisitions, superior image quality and quantitative performance can be achieved in the presence of various degrees of compressive tissue motion.
Impact of gradient scheme and shimming on out-of-voxel echo artefacts in edited MRS
Authors: Song Yulu , Zöllner Helge , Hui Steve , Oeltzschner Georg , Edden Richard
Published: August 2023

Out-of-voxel (OOV) signal is a common spurious echo artifact, which interferes with spectral quantification. These signals arise from either incomplete suppression or accidental refocusing. Dephasing Optimization Through Coherence Order Pathway Selection (DOTCOPS) is an optimized gradient scheme that can be used to suppress unwanted signals. Here we explored the impact of gradient scheme and shimming-order on OOV artefacts in Hadamard-encoded edited MRS.
Mock TcMRgFUS Transducer for Off-site Technological Development
Authors: Hadley Rock , Merrill Robb , Odeen Henrik , parker dennis
Published: August 2023

A portable device that mimics the shape, size, and configuration of the Insightec transcranial MR guided focused ultrasound (tcMRgFUS) assembly is presented. This Mock system provides a water bath and conductive ground plane that accurately emulates that of the Insightec system. The system is shown to generate the same well-known banding artifact as the Insightec system. The construction details of the Mock system and image comparison to the Insightec system are presented.
I’m Late, I’m Late, For a Very Important Date: Pointers for Effective Patient Communication in MRI
Authors: Kohls Gail , Woldemichael Hailu , Maureen Hood
Published: August 2023

Many of us have or are now working in a high volume fast paced MR environment. But what happens when your patient is anxious, in pain, angry or any other of the many obstacles we as MR Technologist/Radiographers may encounter? First impressions will set the mood for the entire procedure and possibly the whole time your patient is at your institution. Being kind, patient and willing to listen to your patients will go a long way when dealing with anxious patients. You can make a difference.
Improving MRI in patients with Cochlear Implants (CIs)
Authors: Rothwell Joanna , Dewey Rebecca
Published: August 2023

A cochlear implant (CI) contains an implanted magnet placed under the scalp. Deaf children often receive a CI in their first year and as such are likely to need MRI in their lifetime. The presence of an implanted magnet raises safety concerns around MRI, with MRI often being avoided in favour of other imaging techniques that are less diagnostically powerful and use ionising radiation. The British Cochlear Implant Group (BCIG) MRI Working Group was assembled with the aim of collecting existing best practice and produce a set of guidance for the safe and effective clinical MR in individuals with CIs.
Chemical Shift Proton Density Fat Fraction Imaging: End-user perspectives on liver fat assessment
Authors: Wagner Jennifer , Noda Chikara , Ortman Jason , Kassai Yoshimori , Lima Joao , Liu Chia
Published: August 2023

CS-PDFF is an indispensable method of assessing steatosis. However, each site must make informed decisions when selecting assessment methodology, as both ROI style and location can impact measurements. This abstract discusses how well ROIs of various styles characterize average PDFF and, additionally, how each ROI style tolerates the influence of various confounding factors (e.g.: artifacts and elevated noise). We also explore potential contributing factors to localized variations in hepatic PDFF, as well as their relative importance. Finally, select normative values from our cohort are reported, with a focus on observed differences as related to ROI placement and size.
RANCANG BANGUN APLIKASI PELAYANAN KEBIDANAN BERBASIS WEB DENGAN METODE OOP (OBJECT ORIENTED PROGRAMMING) PADA PRAKTIK MANDIRI BIDAN NY.SARI
Authors: Nur Fatma Erlin , Saputro Crismantoro Budi , Mathar Irmawati
Published: August 2023

The application of Information Technology in the field of Health has penetrated the obstetric sector. Butin reality there are still obstetric practices that have not had a positive impact on advances ininformation technology, one of them is the Ny.Sari’s Obstetric Clinic which in its service activities stillapplies a manual system and often encounters obstacles such as the difficulty of finding old patientdata, obstetric care documentation that meets storage, and report recapitulation takes a long time. Thegoal of this research is to develop a web-based midwifery service application that is expected tofacilitate the activities of midwifery services in the independent practice of Ny.Sari’s Obstetric Clinicmore effectively. The method used is OOP (Object Oriented Programming) method with UML (Unifiedmodeling Language) modeling to design Use Case Diagrams, Activity Diagrams, Class Diagrams, andSequence Diagrams. The stages of using the SDLC (System Development Life Cycle) method start fromthe requirement analysis, design, development, implementation and testing. The web-based obstetricsservice application requirements consist of the actors requirement, functional requirement, and nonfunctionals requirement. The results of the design of obstetric service application are currently madeattractive user interface design to facilitate the operation and implemented in the form of a website thatconsists of login menu, Dashboard, patient menu, service menu, queue menu and report menu. Withthe application of this obstetric service, service activities at Ny.Sari’s obstetric clinic become easier andmore effective
New Perspectives on the Textual Character of Codex Vaticanus
Authors: Aejmelaeus Anneli
Published: August 2023

Manuscripts can be studied from different perspectives and for different purposes. On the one hand, manuscripts are artefacts that were produced in a certain place at a certain time and possibly give us a glimpse of that original context. On the other hand, they function as mediators of texts, either unique documents to be studied as sources for historical inquiry or copies of literature that participate in the textual tradition of a certain text.The last-mentioned is my focus in this article, just as it is generally in my research.
Strategi Komunikasi Baznas Kabupaten Batu Bara dalam Program Pinjaman Modal Kelompok Tani di Desa Sumber Tani Kecamatan Datuk Tanah Datar
Authors: Karib Abdur Rauf , Samosir Hasrat Efendi , Ritonga Elfi Yanti
Published: August 2023

The general objective of this research was to seek and discover the communication strategy of BAZNAS for Batu Bara Regency in carrying out agricultural productive loan programs. The specific objective of this study was to see how the efforts or efforts were made by BAZNAS of Batu Bara Regency in introducing a productive agricultural loan program to farmer groups in Sumber Tani Village, Datuk Tanah Datar District; obstacles that occur in the implementation of the program; and the benefits felt by the community while participating in the agricultural productive loan program from BAZNAS. This study uses a qualitative approach with the aim of obtaining an in-depth description of the data. The research results obtained showed that in the process of implementing the agricultural productive loan program: (1) The planning that was built by BAZNAS of Batu Bara Regency to run the program used a personal approach to someone who was considered to have influence in farmer groups. In addition, BAZNAS also conducts socialization activities which are carried out simultaneously with the distribution of zakat from the farmers' harvest to farmer groups. (2) The obstacles experienced by BAZNAS of Batu Bara Regency in implementing the program are seen from two perspectives. First, the process of providing assistance and returning assistance to BAZNAS has never experienced any problems. Second, in the program introduction process, farmers still have doubts about participating in making loans. (3) The benefit felt by the community from the implementation of the program is that farmers have institutions that can provide interest-free loans so that farmers' crops can be sold to any party.
Identifikasi Kesalahan Siswa dalam Menjawab Pertanyaan dalam Memahami Konsep Matematika Sekolah Dasar Mengenai Bangun Datar
Authors: Unaenah Een , Syafinka Azayya , Anisa Dela , Weningtyas Zahra
Published: August 2023

This study aims to identify students' mistakes in answering questions about the mathematical concept of flat shapes at the elementary school level. The background of this research is based on the important role of understanding mathematical concepts in learning and the importance of overcoming student mistakes to improve learning outcomes. The research instrument used was a written test containing several questions about the concept of flat shapes that had been compiled and validated by experts in mathematics education. The data collected from this test is then analyzed using statistical methods to identify patterns of errors that are often made by students. The results showed that most students experienced errors in understanding the concept of plane shapes, especially in recognizing the geometric properties of plane shapes and calculating their area and perimeter. Some common mistakes include incorrectly identifying the number of sides and angles in certain planes, mistakes in using the area and perimeter calculation formulas, and difficulties in understanding the relationship between different planes. This finding shows the important role of educators in understanding students' mistakes and developing appropriate teaching strategies to help students improve their understanding of the mathematical concept of flat shapes. The implications of the results of this study can be used as a basis for developing learning programs that are more effective in increasing students' understanding of mistakes in answering questions in understanding elementary school mathematics concepts regarding flat shapes.
Purchase Intention Model Determined by Tik-Tok Social Media Marketing and Product Knowledge through Price Discount as Intervening Variables
Authors: Wijayanto Gatot , Jushermi Jushemi , Wahyuni Sri , Alvionita Agnes , Junaidi Rahmat , Pramadewi Arwinence
Published: August 2023

This study aims to determine the effect of social media marketing on tik-tok and product knowledge on purchase intention which is moderated by price discount on the shopee marketplace in Pekanbaru City. The respondents of this research are those who use the Shopee and Tiktok applications and have shopped online at the Shopee marketplace in Pekanbaru City. The primary data in this study were obtained from distributing questionnaires as an instrument to prove the results of the study and to test the proposed hypothesis. In this study, using the structural equation modeling (SEM) analysis method using Warp-PLS version 6.0 software. Sampling using the technique of Non Probability Sampling with Purposive Sampling procedure by taking a sample of 120 respondents. The results in this study indicate that: 1) Social Media Marketing has a positive and significant effect on Purchase Intention at the Shopee Marketplace in Pekanbaru City, this is evidenced by looking at the pvalue in this study, which is <0.001 with a beta (?) value of 0.380, 2) Product Knowledge has a positive and significant effect on Purchase Intention at the Shopee Marketplace in Pekanbaru City, this is evidenced by looking at the p-value in this study, which is <0.001 with a beta (?) value of 0.352, 3) Social Media Marketing has a positive and positive effect. significantly to Purchase Intention moderated by Price Discount at the Shopee Marketplace in Pekanbaru City, this is evidenced by looking at the p-value in this study, which is <0.001 with a beta () value of 0.280, 4) Product Knowledge has a positive and significant effect on Purchase Intention which is moderated by Price Discount on the Shopee Marketplace in Pekanbaru City, this is proven by by looking at the p-value in this study, which is 0.015 with a beta (?) value of 0.191
Effect of Additional Transglutaminase Enzymes on Physical and Chemical Properties of Kamaboko Long Jawed Mackerel Fish (Rastralliger kanagurta)
Authors: Rizka Fauziah Marsanda , Triastuti RR. Juni , Patmawati Patmawati
Published: August 2023

Long jawed mackerel is an economically important type of fish that is widely caught and consumed in Indonesia. The diversity of processed mackerel products in Indonesia is still relatively low. One of the innovations in fish-based food processing that can be done is the use of mackerel to make kamaboko. One of the enzymes that can improve the functional properties of mackerel meat protein is the transglutaminase enzyme. This enzyme has the potential to be applied to mackerel due to the content of the amino acid lysine found in myosin and glutamine in the transglutaminase enzyme so as to produce peptide bonds that form the gel kamaboko (ashi). The purpose of this study was to determine the effect of the transglutaminase enzyme on physical and chemical properties and to determine the ideal concentration of the use of the transglutaminase enzyme in the manufacture of mackerel kamaboko in compliance with SNI Kamaboko. The method used in this research is an experimental method. Researchers used a completely randomized design (CRD) with four treatments and five replications. The treatment used was the addition of transglutaminase enzyme concentrations E0 (0%), E1 (0.1%), E2 (0.5%), E3 (1%). Kamaboko mackerel is then tested for physical properties which include appearance, folding test, bite test, and gel strength, while testing for chemical properties includes moisture, fat, and protein content. The results showed that the addition of transglutaminase enzymes to mackerel kamaboko had an effect on the texture of kamaboko. Kamaboko mackerel treated E2 and E3 is kamaboko in accordance with SNI kamaboko.
Marketplace As An Effort To Sustainable Business Strategy For Fashion Msmes
Authors: Ningsih Widia
Published: August 2023

The purpose of this study is to analyze the marketplace as an effort to develop a sustainable business strategy for Fashion MSMEs. One of the most sought-after MSME fields is fashion, because it is one of the basic needs after food and beverages. The research method used in this study is qualitative descriptive method. Among its uses is e-commerce as an innovation solution in maintaining business sustainability. Because it has several advantages in the application of marketplace technology can be accessed everywhere (ubiquity), Wide reach (global reach), Diverse and interactive application features (richness &; interactive), Have the ability to form communities for users of products and services, either integrated through sites or through social media (social technologies), Good interface (graphic user interface), Applications must be compatible (compatibility) to browser variants
Determinants Of Banks’ Stability: A Case Study Of Banks Listed On The Ghana Stock Exchange
Authors: Kofi Dwamena , Agyemang Opoku Oscar , Okudzeto Henry
Published: August 2023

The study was to analysed the determinants of stability of banks listed on the Ghana Stock Exchange (GSE). The study used 8 of the 9 banks listed on the Ghana Stock Exchange for the study. The study used annual data of the sampled banks on the GSE from 2015 to 2019. Panel regression analysis was used to unravel the determinants of bank stability in Ghana. The study found that Income diversity, the size of a bank, inflation, regulation and gross domestic product do not determine the stability of banks listed on the Ghana Stock Exchange (GSE). A weak positive relationship was found between income diversity, the size of a bank, inflation, regulation and gross domestic product and the stability of banks listed on the Ghana Stock Exchange. The study concluded that income diversity, size of a bank, inflation rate in the country, the gross domestic product do not determine the stability of banks listed on the Ghana Stock Exchange. The study makes the following recommendations. Future studies to be conducted into the determinants of bank stability using variables. The Bank of Ghana (BoG) and other bodies to pay more attention to other factors other than size, income diversity, inflation, regulation, gross domestic product in their bid to enhancing banking stability as these factors do not affect the stability of banks in Ghana
Designing and development of multiplex rapid diagnostic test platforms for health-related point-of-care applications in the developing world
Authors:   , Seth Misago
Published: August 2023

Accurate and timely diagnosis is usually an important step towards appropriate disease management. In resource-limited settings, healthcare workers lack proper facilities to perform vital tests, and the diagnosis of disease is often determined by non-specific, physiological symptoms alone. Simple and rapid tests are needed as pre-requisite tools for patient care and must conform to the criteria set out by the World Health Organization (WHO). Such tests should be affordable, sensitive, specific, user-friendly, robust, equipment-free, and deliverable to the needy, and abbreviated as ASSURED diagnostics. To address the challenge of specific diagnosis for diseases that present with similar symptoms, multiplex diagnostic platforms must be designed. The use of paper has been extensively studied for its potential as matrix for microfluidic devices. In fabrication of multiplexed microfluidic devices, patterning is an important step. Various approaches including cutting, photolithography, wax-printing, plotting and etching have been developed and tested on paper. In recent years, the focus has also been directed towards exploring the potential of hydrophilic threads as a convenient and low-cost approach for fabrication of microfluidic channels and as signal substrate. This research was aimed at designing multiplex diagnostic test platforms that could be used at point-of-care especially in resource-limited settings. The first approach was to design multiplex paper-based platforms where paper was patterned using a combination of cutting and wax-printing. In the second approach, ordinary thread was used to create microfluidic channels and paper discs were used for sample loading, reagent storage and results display to develop a colorimetric test platform that was demonstrated using glucose, uric acid and bovine serum albumin. In the third design, thread was used in combination with nitrocellulose membrane to develop an immunochromatographic test platform for infectious diseases diagnosis and was tested using Helicobacter pylori (bacteria), Hepatitis B surface antigen (viral antigen), and Immunoglobulin G (antibody). Thread-based designs were evaluated for short-term viability under normal storage conditions. All designs produced rapid results with the lowest limit of detection for antigens being as low as 30 ng/ml for immunochromatographic tests. Treatment of hydrophobic threads improved their wicking, with mercerization being the most efficient with wicking rate up to 42 cm/minute. Reagents, including enzymes and antibodies were found to remain viable in dried form on membranes and paper discs. Developing multiplexed paper- and thread-based diagnostic platforms offers a potential approach in developing ASSURED diagnostics to address health challenges in resource-limited settings. Efforts should be directed towards transforming the proposed designs into viable products that can be used at point-of-care.
Lichen Planopilaris in Skin of Color: A Case Report
Authors: James Garland , Patton Sarah B. W.
Published: August 2023

Lichen planopilaris (LPP) is an uncommon inflammatory scalp disorder which presents with a cicatricial alopecia with characteristic perifollicular erythema and perifollicular scale at the margins of the areas of alopecia. Classic LPP is usually seen in women between the ages of 41 and 50, although men may also be affected. White patients are more commonly affected,1 and the disease is potentially underdiagnosed in individuals of color. This case highlights a patient who was previously diagnosed with traction alopecia who went on to develop LPP. It is important to keep LPP on the differential for cases of alopecia in skin of color as the treatment varies from other forms of alopecia. The goal of treatment is to delay or stop progression and improve symptoms for the patient.
Social Belonging Perceptions Across FHSU Students
Authors: Moy Magdalene , Hicks Sydney , Reilley Danielle , null null , null null , null null
Published: August 2023

Social belonging is a critical aspect of student success and well-being in higher education. Research on social belonging has thus far primarily focused on traditional, on campus students in higher education; however, higher education institutions have seen an increased number of online students post pandemic (D’Agostino, 2022). Fort Hays State University (FHSU) has likewise seen a growing number of online students, with 3,807 on campus students compared to 6,604 online students for the 2021-2022 school year. Data from the 2021 NISS Diagnostic Analysis resulted in the following executive summary, “Improve outcomes for online students by better understanding the specific obstacles they are facing and by targeting supports in response”. To address the growing need to understand the unique perspectives of FHSU’s online students and to contribute to the overall FHSU student success the Teaching Innovations and Learning Technologies (TILT) department designed a mixed methods research project with the intention to build a faculty facing workshop that is data driven by FHSU students. A design-based research approach was taken to support the project’s lofty goals. An initial analysis of past data was conducted using 2021 NSSE survey data, 2021 NISS Diagnostic Analysis and Playbook, and the FHSU’s 2021 Post-Pandemic survey data. This data was used to construct the theoretical framework of social belonging for this project, which includes social capital and social presence. Next, a sequential mixed methods approach was deployed using a qualitative survey followed by qualitative, semi-structured interviews. This poster will report on the project’s design, theoretical framework, and preliminary findings.