The BioMedical Engineering and Imaging Institute (BMEII) is responsible for providing support for all in vivo imaging research at The Mount Sinai Medical Center and is responsible for coordinating, supporting and executing imaging research at Mount Sinai including, neuroimaging, cardiovascular imaging, cancer imaging, nanomedicine (molecular imaging and drug delivery), and image processing in the preclinical and clinical settings.

  Standard Support (included in scanner fees) Advanced Support (Additional Fees may apply)
Study Start-up Project Startup/IRB review content/language & consultations IRB submissions
Maintenance self-scheduling system External Service agreements
Consultations re scanner type, study design, acquisition type, tasks, timing, synchronization, peripheral use  
Scan Protocol Scan parameter Implementation/Optimization (HiRes Structural, DTI, EPI ...) Scan parameter and sequence optimization and standardization (e.g., MB-ME, pharmaco-fMRI, any new sequence, other BIG DATA protocols) = resolution & SNR pushed higher
Maintenance of common protocol & HCP Adaptation of C2P sequences to our scanners
  New image acquisition (e.g., MRS, rtfMRI, ASL, ME), cutting-edge analyses methods/tools, troubleshooting
Task Protocol fMRI Software administration (Eprime, PsychToolBox, PschoPy(thon), Matlab, Cogent) Training, implementation, development, validation in experimental tasks
Basic task management (Triggering, Physio monitoring control, etc) Moderate/Heavy task modifications (stimulus development, novel task fdevelopment)
Basic equipment training (hardware and interface, excluding EEG) Real-Time fMRI set-up & experiment design
Stimulus Equipment Visual (LCD, 3D goggles) hardware Olfactory Stimulus Delivery System
Audio (Headphones, ear buds) hardware Implementation of custom equipment
Eye-tracking equipment (not software control support);  Development of custom equipment
  Experimental Desgin, Training and processing for Eye-tracking
Physiological Monitoring  Set up (SpO2, Heart rate, Respiration, ECG, GSR, EMG, Skin Temperature) hardware Physio Data processing & integration with fMRI
Consultation on experimental design Custom physiological monitoring equipment implementation; Physio Data correlations with experimental variables
  Simultaneous EEG/MRI experiment design
Data Handling  Long-term online image web-interface archive & application (e.g., XNAT) server hardware Anonymize & Transfer to external sites 
Burn anonymized data to CD for external sites Automated anonymization & transfer pipelines
Standalone anonymization & Training Apply newly developed pipelines
  Access data anywhere; data back up; data preprocessing at the click of a button
Data Analysis Computer Lab with preloaded analysis software (BV, SPM, FSL, Osirix, Custom In House tools, Matlab) Task Based fMRI Statistics
  o  Group Differences (FSL, AFNI, SPM)
  o  Correlations (FSL, task-regressed, PPI, SEM, Granger Causality)
  o  Event related analysis (In-house*, +amplitude/duration modulation)
  o  ROI/Paradigm based time course extraction (In-house*)
  High-performance computing, execution of all pipelines (interface to Minerva & related systems)
  Rest State fMRI Statistics
  o Group Differences (ICA-FSL, dual regression, ICR)
  o Correlations (ICA-FSL; dual regression w/covariates)
  o Atlas based ROI seeded correlations (InHouse; AFNI, Graph Theory)
  o  Manual ROI Seeded correlations (InHouse; AFNI; SPM Conn)
  DTI Analysis & Statistics
  o Group Differences (FSL)
  o Correlations (FSL) 
  o Connectivity 
  o Graph-theory metrics 
  o Comparison to non-imaging metrics
  o TBSS (FSL)
  o Tractography based (Inhouse & standard)
  o Atlas based & manual ROI based (Inhouse & Standard)
  PET Analysis & Statistics
  o Coregistration PET/MRI
  o SUV, Relative uptake conversion
  o Group Differences (FSL)
  o Correlations (FSL)
  o Cross modality ROI based measurements (InHouse)
  o Atlas based ROI extraction (InHouse)
Hardware   New coils design and implementation
PET isotopes standard tracers: FDG Special tracers
Other Grant planning, grantsmanship, mentoring