[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100105717":3},{"organization":4,"outcomesModule":7,"designInfo":8,"detailedDescription":11,"studyPopulation":12,"armGroups":7,"interventions":7,"overallOfficials":13,"centralContacts":17,"locations":27,"responsibleParty":51,"collaborators":7,"id":54,"slug":7,"hasResults":55,"nctId":56,"briefTitle":57,"officialTitle":58,"acronym":7,"eligibilityCriteria":59,"healthyVolunteers":60,"sex":61,"minAge":62,"maxAge":63,"enrollmentInfo":64,"targetDuration":7,"studyType":67,"phases":7,"briefSummary":68,"conditions":69,"keywords":71,"overallStatus":30,"whyStopped":7,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":78,"completionDateStruct":80,"leadSponsor":82,"locationsCount":83},{"fullName":5,"class":6},"State University of New York - Upstate Medical University","OTHER",null,{"allocation":7,"interventionModel":7,"interventionModelDescription":7,"primaryPurpose":7,"observationalModel":9,"timePerspective":10,"maskingInfo":7},"CASE_ONLY","PROSPECTIVE","Magnetic Resonance Imaging (MRI) has been utilized for 20 years as a clinical and research tool at SUNY Upstate Medical University. Currently, there are five (5) MR (1 low-field 0.2 Tesla, 3 high-field 1.5 Tesla and 1 3.0 Tesla) units in use on the university campus. During this time, new imaging sequences and hardware including smaller more powerful magnets and faster computers have been developed that assist in the diagnosis of many disease processes. MR Angiography, MR Spectroscopy, diffusion weighted imaging and a dedicated combination Neurovascular head and neck coil are just several of the many imaging sequences and specialized coils that have been developed over the last several years.\n\nNew imaging sequences and hardware including 4.0 and 7.0 Tesla magnets are currently undergoing development and testing at several universities in the United States and worldwide. As a consequence of the many new innovations in MR imaging we must periodically upgrade our existing MR units and on occasion replace one of our existing MR units or purchase a new MR unit. This will ensure that we have the most up to date MR equipment to provide state of the art diagnostic imaging capabilities at University Hospital. The new imaging sequences and\u002For hardware must be optimized for each MR unit to achieve the highest signal to noise (SNR) and contrast to noise (CNR) ratios in a reasonable scan time. This practice is routinely performed at every university and private hospital as well as outpatient imaging center when a new MR unit is installed and when an existing unit is upgraded.\n\nUltrasound imaging has been a component of the Radiology Department since 1975 and used as a clinical and research tool. Presently our machines include the GE's models: Logic E9, S8, Logic (, P5, P6, Logic Book, Phillips IU22, SonoSite Turbo (multiple units), Siemens Acuson (x3 units) and a Siemens X300. There are updated ultrasound machines that allow color Doppler images and elastography acquisition ability. Upgrades for software and hardware are on an ongoing basis along with new applications and imaging protocols.","The study population is comprised of healthy volunteers aged 18-70 who are able and willing to sign an informed consent disclosure (ICD) form to undergo an MRI scan if they meet all screening criteria.",[14],{"name":15,"affiliation":5,"role":16},"Marzieh Nezamzadeh, PhD","PRINCIPAL_INVESTIGATOR",[18,23],{"name":19,"role":20,"phone":21,"phoneExt":7,"email":22},"Donna Bolourchi, BSc","CONTACT","(315) 464-7424","bolourcd@upstate.edu",{"name":24,"role":20,"phone":25,"phoneExt":7,"email":26},"Kyra Crossett, BSc","(315) 464-5098","crossetk@upstate.edu",[28],{"facility":29,"status":30,"city":31,"state":32,"zip":33,"country":34,"countryCode":35,"cosmosGeoPoint":36,"geoPoint":41,"contacts":42},"SUNY Upstate Medical University","RECRUITING","Syracuse","New York","13210","United States","US",{"type":37,"coordinates":38},"Point",[39,40],-76.14742,43.04812,{"lat":40,"lon":39},[43,46,49],{"name":44,"role":20,"phone":45,"phoneExt":7,"email":22},"Donna Bolourchi, BS","315-464-7424",{"name":47,"role":20,"phone":48,"phoneExt":7,"email":26},"Kyra Crossett, BS","315-464-5098",{"name":50,"role":16,"phone":7,"phoneExt":7,"email":7},"Nezamzadeh Marzieh, PhD",{"type":16,"investigatorFullName":52,"investigatorTitle":53,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"Marzieh Nezamzadeh","Diagnostic Radiology Physicist","100105717",false,"NCT00640107","Evaluation and Optimization of Ultrasound and\u002For MRI Hardware and Software","Evaluation and Optimization of Ultrasound and\u002For MRI Hardware and Software in Existing SUNY Ultrasound and\u002For MRI Units and Newly Installed Commercially Available Units","Inclusion Criteria:\n\n* Able to Understand and Sign Informed Consent Disclosure (ICD)\n* Healthy Volunteers Aged 18-70\n* Healthy Volunteers with No History of Aneurysm Clips, Cardiac Pacemakers, Claustrophobia, Neurostimulators, and Pregnancy.\n\nExclusion Criteria:\n\n* Subjects \\> 300 Pounds\n* Subjects \\\u003C 18 Years Old\n* Subjects \\> 70 Years Old\n* Subjects w\u002F Aneurysm Clips\n* Subjects w\u002F Cardiac Pacemakers\n* Subjects w\u002F Claustrophobia\n* Subjects w\u002F Neurostimulators\n* Subjects w\u002F Pregnancy",true,"ALL","18 Years","70 Years",{"count":65,"type":66},30,"ESTIMATED","OBSERVATIONAL","The purpose of this study is to evaluate and optimize ultrasound and\u002For MRI hardware and software in both existing ultrasound\u002FMRI units as well as in newly installed commercially available ultrasound\u002FMRI units. The study also serves to familiarize the ultrasound\u002FMRI technician staff with how to operate newly installed software sequences or hardware. The information obtained from this study will be utilized to optimize new software sequences and hardware that have been installed on the UMU ultrasound\u002FMRI scanners. This will offer ultrasound\u002FMRI technologists ample time to become familiar with the operation of new equipment. More specifically, the objectives of this study are to maximize contrast to noise (CNR) and signal to noise (SNR) ratios for new imaging sequences and hardware to obtain high quality images, maximize the potential of new machines and associated software\u002Fhardware to obtain the highest quality of images, and obtain the highest quality images in reasonable scan time to minimize patient motion.",[70],"Healthy",[72,73],"Magnetic Resonance Imaging","Ultrasound","2024-06-27",{"date":76,"type":77},"2024-06-28","ACTUAL",{"date":79,"type":77},"2007-10",{"date":81,"type":66},"2030-09",{"name":5,"class":6},1]