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- Creator:
- Whitaker, Steven T., Nataraj, Gopal, Nielsen, Jon-Fredrik, and Fessler, Jeffrey A.
- Description:
- File: P,jf06Sep2019,mese.7 The multi-echo spin echo (MESE) data was acquired using a 3D acquisition with an initial 90 degree excitation pulse followed by 32 refocusing (180 degree) pulses, resulting in 32 echoes with echo spacing of 10 ms. The repetition time of the sequence was 1200 ms. Each refocusing pulse was flanked by crusher gradients to impart 14 cycles of phase across the imaging volume. The initial excitation pulse had time-bandwidth product of 6, duration of 3 ms, and slab thickness of 0.9 cm, and each refocusing pulse had time-bandwidth product of 2, duration of 2 ms, and slab thickness of 2.1 cm. The scan took 36 min 11 s and covered a field of view (FOV) of 22 x 22 x 0.99 cm^3 with matrix size 200 x 200 x 9., File: P,jf06Sep2019,b1.7 The Bloch-Siegert (BS) scans were acquired using a 3D acquisition. The excitation pulse of these scans had time-bandwidth product of 8 and duration of 1 ms. The pair of scans used +/-4 kHz off-resonant Fermi pulses between excitation and readout. The BS scans took 2 min 40 s in total and covered a FOV of 22 x 22 x 0.99 cm^3 with matrix size 200 x 50 x 9., File: P,jf06Sep2019,mwf.7 The small-tip fast recovery (STFR) scans were acquired using a 3D acquisition. The first two and last two scans were pairs of spoiled gradient-recalled echo (SPGR) scans with echo time difference of 2.3 ms. (In the related paper, only the first set was used, i.e., only 11 of the 13 scans were used.) The remaining scans used scan parameters that were optimized to minimize the Cramer-Rao Lower Bound (CRLB) of estimates of myelin water fraction (MWF). The RF pulses had time-bandwidth product of 8 and duration of 1 ms. Each pair of SPGR scans took 58 s and the nine STFR scans took 3 min 36 s for a total scan time of 5 min 32 s (4 min 34 s if one pair of SPGR scans is ignored). The scans covered a field of view (FOV) of 22 x 22 x 0.99 cm^3 with matrix size 200 x 200 x 9., File: meseslice5.mat Contains the 32 echoes of the MESE image data for the middle slice of the imaging volume. Saved using Mathworks MATLAB R2019a., File: b1slice5.mat Contains the transmit field inhomogeneity map for the middle slice of the imaging volume., File: recon.jld Key "img" contains the 11 STFR images for the middle slice of the imaging volume. Key "b0map" contains a field map estimated from the two SPGR scans. Key "mask" contains a mask of the voxels for which to estimate MWF. Key "T1img" contains a T1-weighted image for anatomical reference., File: headmask.mat Contains a mask for visualizing just the brain (ignores the skull) for the middle slice of the imaging volume., File: rois.mat Contains masks for various regions of interest (ROIs), used for computing statistics. Keys "mtopleft", "mtopright", "mbottomleft", and "mbottomright" refer to the corresponding locations on the anatomical reference image (see related paper). Key "mic" refers to the internal capsules, and key "mgm" refers to a gray matter ROI., The raw data files (P-files) can be read into the Julia programming language using the Julia version of the Michigan Image Reconstruction Toolbox ( https://github.com/JeffFessler/MIRT.jl) or into MATLAB using TOPPE ( https://github.com/toppeMRI/toppe). The reconstructed slices used in the related paper are provided for convenience, and are stored in .mat files that can be loaded into Julia (using the package MAT.jl) or MATLAB, and a .jld file that can be loaded into Julia (using the package JLD.jl). The Julia code for processing the data to create MWF maps is hosted publicly on GitHub at https://github.com/StevenWhitaker/STFR-MWF., and Files: toppe-master.zip and MIRT.jl-master.zip are archived versions of the TOPPE and Michigan Image Reconstruction Toolbox code sets from GitHub as of 2/28/2020.
- Keyword:
- myelin, machine learning, kernel learning, magnetic resonance imaging, and scan design
- Citation to related publication:
- Whitaker, S. T., Nataraj, G., Nielsen, J.-F., & Fessler, J. A. (2020). Myelin water fraction estimation using small-tip fast recovery MRI. Magnetic Resonance in Medicine, 84(4), 1977–1990. https://doi.org/10.1002/mrm.28259
- Discipline:
- Health Sciences and Engineering
-
- Creator:
- Pedde, Meredith
- Description:
- In this study, we took advantage of the randomized allocation of the US EPA's funding for school bus replacements and retrofits to causally assess the impacts of upgrading buses on student attendance through the EPA’s national School Bus Rebate Program. Specifically, we used classical intent-to-treat analyses for randomized controlled trials to compare the change in school district level attendance rates after vs before the 2012 through 2017 lotteries by funding selection status . We used overall district attendance rates since rates were not available for only school-bus riders.
- Keyword:
- School Bus Emissions, Diesel Air Pollution, and School Attendance
- Citation to related publication:
- Pedde, M., Szpiro, A., Hirth, R. et al. Randomized design evidence of the attendance benefits of the EPA School Bus Rebate Program. Nat Sustain (2023). https://doi.org/10.1038/s41893-023-01088-7
- Discipline:
- Health Sciences
-
- Creator:
- Figueroa, C. Alberto
- Description:
- This information provides the data and commands to manually setup the computational simulations used in the PLOS ONE paper 'Patient-specific modeling of right coronary circulation vulnerability post-liver transplant in Alagille’s syndrome' using CRIMSON (CARDIOVASCULAR INTEGRATED MODELLING & SIMULATION) a prototype simulation environment developed under the support of the European Research Council (( http://www.crimson.software/)., Note that a Windows version of the CRIMSON flowsolver is provided as part of the CRIMSON Windows installer, but you will need a very powerful Windows computer to run these simulations, as the models used in the present work are extremely computationally-demanding. It is recommended that you use a Linux version of the CRIMSON flowsolver on a high-performance computer., Option 1 (ready-to-use files to immediately start the simulation): 1. Please unzip the Ready-to-use files. 2. Copy the folders of each of the three conditions to the high performance computer. 3. In addition to different codes used, each folder provides the boundary conditions applied in the simulations described in the manuscript (e.g. LPN parameters). To run the 3D simulations for each condition simply launch the it using the CRIMSON flowsolver. In addition, the solver.inp file can be modified to run a 0D "real-time simulation" (please open solver.inp with a text editor and modify line 4 "Simulate in Purely Zero Dimensions:" to "True")., Option 2 (using the MITK files): 1. Please download and install Crimson software ( http://www.crimson.software/). 2. Please unzip the MITK files and the Ready-to-use files. 3. From amongst the provided MITK files, load the MITK file of interest to CRIMSON (using the MITK files, additional changes can be made to the computational model in case the user wants to explore different settings/boundary conditions e.g. change the vascular wall properties, introducing a change in the geometry to create a virtual stenosis). 3. Navigate to the tree in the "Data Manager" panel and select the "Pulmonaries", "CRIMSON SOLVER" and then "Solver study 3D" items, in the described order. 4. In the right hand panel select the "CRIMSON Solver setup" tab and scroll down the right hand bar until to find the "Setup Solver" box; click to output the simulation files (faceInfo.dat, geombc.dat.1, multidomain.dat, netlist_surface.dat,numstart.dat, presolver folder, solver.inp, restart.0.1). 5. Copy and replace the geombc.dat.1 and restart.0.1 generated by CRIMSON for each individual condition to the respective unziped folder in the Ready-to-use file (discard the remaining files that were output by CRIMSON). Note that if you have not changed anything about the model (e.g. vascular wall properties), then doing this will produce restart.0.1 and geombc.dat.1 files which are identical to the ready-to-use versions. 6. Finally copy each Condition folder to the high performance computer and simply launch the simulation using the CRIMSON flowsolver., and For technical queries please contact crimson-users@googlegroups.com. --October 2018.
- Citation to related publication:
- Silva Vieira M, Arthurs CJ, Hussain T, Razavi R, Figueroa CA (2018) Patient-specific modeling of right coronary circulation vulnerability post-liver transplant in Alagille’s syndrome. PLOS ONE 13(11): e0205829. https://doi.org/10.1371/journal.pone.0205829
- Discipline:
- Engineering and Health Sciences
-
- Creator:
- Lori, Jody R., Moyer, Cheryl, Lockhart, Nancy, Zielinski, Ruth E., Kukula, Vida, Apetorgbor, Veronica, Awini, Elizabeth, Badu-Gyan, Georgina, and Williams, John
- Description:
- GRAND is a five-year, cluster randomized controlled trial. The study is registered on ClinicalTrials.gov, [ID#: NCT04033003] and is a collaboration between University of Michigan in the United States and the Dodowa Health Research Center in Ghana. , The study setting for GRAND is four districts (Akwapim North, Yilo Krobo, Nsawam-Adoagyiri, and Lower Manya Krobo) within the Eastern Region of Ghana. Health facilities were selected based the number ANC registrants per month and average gestational age of women at registration in each facility., and Facilities were then matched based on facility type, district, and number of monthly ANC registrants. A cluster randomized controlled trial was conducted in 14 facilities in four districts of the Eastern Region of Ghana. Health facilities were randomized using a matched pairs design; each pair was similar in the number of deliveries and average gestational age of the women at enrollment in antenatal care. The locations of the facilities were far enough apart to avoid cross-group contamination. In each pair of facilities, one was randomly assigned to the intervention (G-ANC) and the other to the control (I-ANC). Recruitment began July 2019 and ended when enrollment targets were met. Data collection ended July 2023 when data collection was complete.
- Keyword:
- Antenatal care, Ghana, and Maternal health
- Citation to related publication:
- Lori, J., Kukula, V., Liu, L. et al. Improving health literacy through group antenatal care: results from a cluster randomized controlled trial in Ghana. BMC Pregnancy Childbirth 24, 37 (2024). https://doi.org/10.1186/s12884-023-06224-x
- Discipline:
- International Studies and Health Sciences
-
- Creator:
- Arthurs, Christopher J., Khlebnikov, Rostislav, Melville, Alexander, Marčan, Marija, Gomez, Alberto, Dillon-Murphy, Desmond, Cuomo, Federica, Vieira, Miguel, Schollenberger, Jonas, Lynch, Sabrina, Tossas-Betancourt, Christopher, Iyer, Kritika, Hopper, Sara, Livingston, Elizabeth, Youssefi, Pouya, Noorani, Alia, Ben Ahmed, Sabrina, Nauta, Foeke J.N., van Bakel, Theodorus M.J., Ahmed, Yunus, van Bakel, Petrus A.J., Mynard, Jonathan, Di Achille, Paolo, Gharahi, Hamid, Lau, Kevin D., Filonova, Vasilina, Aguirre, Miquel, Nama, Nitesh, Xiao, Nan, Baek, Seungik, Garikipati, Krishna, Sahni, Onkar, Nordsletten, David, and Figueroa, Carlos A.
- Description:
- This repository contains the source code for the CRIMSON Flow Solver as required in the PLOS Computational Biology publication: CRIMSON: An Open-Source Software Framework for Cardiovascular Integrated Modelling and Simulation by the same authors., This is a snapshot of the software. Please visit https://github.com/carthurs/CRIMSONFlowsolver/releases/tag/PLOS_Comp_Bio & www.crimson.software for more general information and the most up to date version of the software. , and Software can be compiled in Cygwin and Linux.
- Keyword:
- Blood Flow Simulation, Patient-specific, Open-source Software, Image-based simulation, Cardiovascular Medical Image, Segmentation, and Finite Element Simulation
- Citation to related publication:
- CRIMSON: An Open-Source Software Framework for Cardiovascular Integrated Modelling and Simulation C.J. Arthurs, R. Khlebnikov, A. Melville, M. Marčan, A. Gomez, D. Dillon-Murphy, F. Cuomo, M.S. Vieira, J. Schollenberger, S.R. Lynch, C. Tossas-Betancourt, K. Iyer, S. Hopper, E. Livingston, P. Youssefi, A. Noorani, S. Ben Ahmed, F.J.H. Nauta, T.M.J. van Bakel, Y. Ahmed, P.A.J. van Bakel, J. Mynard, P. Di Achille, H. Gharahi, K. D. Lau, V. Filonova, M. Aguirre, N. Nama, N. Xiao, S. Baek, K. Garikipati, O. Sahni, D. Nordsletten, C.A. Figueroa bioRxiv 2020.10.14.339960; doi: https://doi.org/10.1101/2020.10.14.339960 and Arthurs, C., Khlebnikov, R., Melville, A., Marčan, M., Gomez, A., Dillon-Murphy, D., Cuomo, F., Vieira, M., Schollenberger, J., Lynch, S., Tossas-Betancourt, C., Iyer, K., Hopper, S., Livingston, E., Youssefi, P., Noorani, A., Ben Ahmed, S., Nauta, F., van Bakel, T., Ahmed, Y., van Bakel, P., Mynard, J., Di Achille, P., Gharahi, H., Lau, K., Filonova, V., Aguirre, M., Nama, N., Xiao, N., Baek, S., Garikipati, K., Sahni, O., Nordsletten, D., Figueroa, C. (2021). CRIMSON open source project - Graphical User Interface (GUI) Source Code for PLOS Computational Biology [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/679b-dw96
- Discipline:
- Engineering and Health Sciences
-
- Creator:
- Arthurs, Christopher J., Khlebnikov, Rostislav, Melville, Alexander, Marčan, Marija, Gomez, Alberto, Dillon-Murphy, Desmond, Cuomo, Federica, Vieira, Miguel, Schollenberger, Jonas, Lynch, Sabrina, Tossas-Betancourt, Christopher, Iyer, Kritika, Hopper, Sara, Livingston, Elizabeth, Youssefi, Pouya, Noorani, Alia, Ben Ahmed, Sabrina, Nauta, Foeke J.N., van Bakel, Theodorus M.J., Ahmed, Yunus, van Bakel, Petrus A.J., Mynard, Jonathan, Di Achille, Paolo, Gharahi, Hamid, Lau, Kevin D., Filonova, Vasilina, Aguirre, Miquel, Nama, Nitesh, Xiao, Nan, Baek, Seungik, Garikipati, Krishna, Sahni, Onkar, Nordsletten, David, and Figueroa, Carlos A.
- Description:
- This repository contains the source code for the CRIMSON GUI, as required in the PLOS Computational Biology publication: CRIMSON: An Open-Source Software Framework for Cardiovascular Integrated Modelling and Simulation by the same authors., This is a snapshot of the software; build dependencies can be found at https://doi.org/10.7302/ssj9-n788. Please visit https://github.com/carthurs/CRIMSONGUI/releases/tag/PLOS_Comp_Bio & www.crimson.software for more general information and the most up to date version of the software., and Software can be compiled in Windows.
- Keyword:
- Blood Flow Simulation, Patient-specific, Open-source Software, Image-based simulation, Cardiovascular Medical Image, Segmentation, and Finite Element Simulation
- Citation to related publication:
- CRIMSON: An Open-Source Software Framework for Cardiovascular Integrated Modelling and Simulation C.J. Arthurs, R. Khlebnikov, A. Melville, M. Marčan, A. Gomez, D. Dillon-Murphy, F. Cuomo, M.S. Vieira, J. Schollenberger, S.R. Lynch, C. Tossas-Betancourt, K. Iyer, S. Hopper, E. Livingston, P. Youssefi, A. Noorani, S. Ben Ahmed, F.J.H. Nauta, T.M.J. van Bakel, Y. Ahmed, P.A.J. van Bakel, J. Mynard, P. Di Achille, H. Gharahi, K. D. Lau, V. Filonova, M. Aguirre, N. Nama, N. Xiao, S. Baek, K. Garikipati, O. Sahni, D. Nordsletten, C.A. Figueroa bioRxiv 2020.10.14.339960; doi: https://doi.org/10.1101/2020.10.14.339960 and Computational Vascular Biomechanics Lab @ the University of Michigan and other collaborators, The Qt Company, NSIS Team and contributors, PostgreSQL Global Development Group, Oracle Corporation, Kitware. CRIMSON open source project - Build Dependencies [Data set], (2021). University of Michigan - Deep Blue. https://doi.org/10.7302/ssj9-n788
- Discipline:
- Health Sciences and Engineering
-
- Creator:
- Irani, Sanaya , Tolia, Sangini, Finks, Jonathan, and Sandhu, Gurjit
- Description:
- Program Description DoT was founded in 2012 with a mission to increase diversity amongst medical professionals by preparing students from underrepresented communities in Detroit to successfully pursue careers in healthcare. Our program builds on a partnership between Cass Technical High School (CTHS) and the University of Michigan Medical School (UMMS). The CTHS student body is reflective of the Detroit population with more than 80% of students identifying with racial and ethnic minority backgrounds. Students with an interest in healthcare apply for the program as ninth graders. In recent years, the program has received over 60 applications for approximately 30 positions in each grade. DoT’s unique strength lies in its longitudinal structure. There are three branches of the program – Foundations (ninth and tenth grade), Rising (eleventh and twelfth grade) and Succeed (undergraduate). Ninth graders start out in DoT Foundations. Each student is paired with a first-year medical student mentor at UMMS for the entire academic year. DoT students travel to UMMS every month for a visit day, with activities designed to give students hands-on experiences in healthcare, such as suturing and ultrasound skills in the simulation center, and clinical shadowing. Students then meet with their medical student mentor over lunch. The latter part of the day is dedicated to working on their capstone projects. For the capstone projects, students work in small teams led by medical student leaders to identify a community health issue, partner with a local organization, and present their proposed solutions at a formal symposium at the end of the year. , Transition to Virtual Programming In light of the recent COVID-19 pandemic, a growing number of universities cancelled all campus events including those of pipeline programs. We felt that our programming offered an important service to our students that would be greatly missed, so our team worked to quickly create and implement a virtual program. We ensured that each of our students had access to technology at home and those who did not were offered scholarships. During our introductory student session and new parent meeting, our leadership team discussed how to set up a Gmail email address for weekly communications and taught the students how to use Zoom, Google Drive, Google Docs and Google Sheets for online learning collaboration. For the virtual Foundations program, we offered 1-hour seminars each month, where a physician was invited to give a 30-minute presentation about different organ systems, followed by a 30-minute case-based session where students worked with medical student mentors to apply their new knowledge. We also created novel sessions such as “The Path to College and Medical School” and collaborated with members of the Black Medical Association (BMA) and Latin American and Native American Medical Association (LANAMA) to host a panel session where students could learn from medical students who identified as URiM. For the mentorship aspect, we created “pods” of Foundations, Rising, and Succeed students along with medical student and physician mentors. The Foundations students and mentors met every month for an hour on Zoom, a virtual communication platform, to work on their Capstone project. Rising and Succeed students joined the group for three full-pod meetings. The goal was to increase near-peer mentorship and connections between DoT students at all levels. , and Study Population Due to the virtual nature of the 2020-2021 program, we accepted 100% of 9th grade applicants from CTHS. We also expanded our reach to a new school, The School at Marygrove (TSM), which is also located in Detroit, Michigan. TSM is involved in the Detroit-20 Partnership with the University of Michigan College of Education and includes a novel three-year residency program for novice teachers. During the 2020-2021 school year, 108 students participated in the Foundations programming with 72 of them being 9th graders and 36 being 10th graders. The students were mostly from CTHS with 12 students out of the 108 total being from TSM. Students were predominantly from an African American/Black racial background (68.4% from N=98 respondents). The students were representative of their respective schools. The majority of students at CTHS identify as black, come from low-income homes, and have variable levels of parental education.
- Keyword:
- pipeline program, Underrepresented in medicine, Mentorship, Medical education, and COVID-19
- Discipline:
- Health Sciences
-
- Creator:
- Zielinski, Ruth E, Kukula, Vida, Apetorgbor, Veronica, Awini, Elizabeth, Moyer, Cheryl, Badu-Gyan, Georgina, Williams, John, Lockhart, Nancy, and Lori, Jody R
- Description:
- This is a process evaluation of the RCT, Group Antenatal Care and Delivery project (GRAND) to identify and document patient, provider, and system barriers and facilitators to program implementation. Using both quantitative and qualitative methods, potential and actual influences on the quality and conduct of the program's operations, implementation, and service delivery were identified. Only the seven (7) sites randomized to the Group ANC (G-ANC) intervention were included for collection of process evaluation data since the evaluation was of G-ANC implementation. Data were collected from August 2019 to November 2020 and included both quantitative and qualitative data sources.
- Keyword:
- Group Antenatal Care, Ghana, and Process Evaluation
- Citation to related publication:
- Zielinski R, Kukula V, Apetorgbor V, Awini E, Moyer C, Badu-Gyan G, et al. (2023) “With group antenatal care, pregnant women know they are not alone”: The process evaluation of a group antenatal care intervention in Ghana. PLoS ONE 18(11): e0291855. https://doi.org/10.1371/journal.pone.0291855
- Discipline:
- International Studies and Health Sciences
-
ABC Baby Study
User Collection- Creator:
- Lumeng, Julie C
- Description:
- The primary goal of this project was to identify domains of infant eating behavior and their trajectories over the first year of life. A convenience sample of 284 mother-infant dyads was recruited and enrolled from communities within a 1-hour driving distance of Ann Arbor, Michigan, via social media; flyers in outpatient pediatric clinics and community settings; and targeted outreach by telephone, email, and mail to pregnant women and mothers of newborn infants receiving care within the University of Michigan health system between October 2015 and February 2019. The planned sample size was based on a priori power calculations anticipating 3-5 eating behavior factors, each with 3 different trajectories, providing 81% power to detect a 10% or more change in the likelihood of exhibiting one of an anticipated 3 trajectory patterns of infant growth; the ultimate sample size of 284 was based on feasibility related to recruitment and retention. , The study included a repeated-measures, within-participant experimental design embedded within a longitudinal observational cohort study. The goal was to examine the development of infant eating behavior longitudinally at ages 0.5, 2, 4, 6, 9 and 12 months based on data collected from questionnaires, eating behavior experiments, and anthropometry via home visits by trained research staff. The study was described to participants as seeking to understand infant eating behavior and interactions between mothers and babies in the first year after birth. Inclusion criteria were gestational age of 37.0 to 42.0 weeks, weight appropriate for gestational age, no significant perinatal or neonatal complications, biological mother was the legal and custodial guardian, and infant’s having had consumed 2 oz or more in 1 feeding from an artificial nipple at least once per week. Exclusion criteria were mother not fluent in English; mother younger than 18 years; infant medical problems or diagnosis affecting current or future eating, growth, or development; or child protective services involvement. Mothers provided written informed consent for themselves and their infants. The study was approved by the University of Michigan institutional review board. To facilitate recruitment, dyads could be enrolled at 1 of 3 age points up to and including age 4 months; data collected at enrollment are referred to as baseline. , and Mothers responded to questionnaires on demographics, psychosocial stress, perinatal history, feeding behaviors and practices, sleep, their own eating behaviors, infant temperament, their own and the infant’s diet, and infant eating behaviors. Maternal and infant anthropometry was measured by trained research assistants. Mother-infant dyads participated in protocols designed to measure infant response to sucrose, infant ability to delay gratification, infant response to a challenging feeding, the relative reinforcing value of food, eating in the absence of hunger, capacity for regulation of energy intake in response to more frequent feedings and in response to increased caloric density, and response to novel and familiar foods. Maternal feeding behaviors were also coded from video. Biological samples included infant stool and maternal breastmilk.
- Keyword:
- infant, eating, weight gain, and sucking
- Discipline:
- Health Sciences
4Works -
- Creator:
- Meurer, William
- Description:
- Dataset for analysis in SPSS
- Discipline:
- Health Sciences