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Welcome to the new-and-improved Wiki for the Gruss Magnetic Resonance Research Center at the Albert Einstein College of Medicine of Yeshiva University. We've made every effort to make this Wiki a one-stop site for our employees, collaborators, and the interested public.


Looking for the Joe Friday Guide? Download it [here]

Our Data Acquisition page contains some pictures and facts about our three imaging systems: the Philips Achieva 3T large-bore magnet, the Varian 9.4T small-bore magnet, and the Siemens Inveon μPET/SPECT/CT imaging system. More information on the latter can also be found on the μPET/SPECT/CT system wiki page.

If you are currently engaged in collaborative research with us, or are interested in doing so, please take a look at the page For Collaborators. This page covers the collaborative research application process, our policies and regulations, and some obligatory bits on Lab Use and Safety.

Those visitors who would like to learn more about what we do here at the MRRC, and about MRI in general, are invited to visit our page For the Public.

New recruits (and even folks who have worked here a while) should check out the page appropriately titled For Our Employees. This page contains all the information you need to get started here at the MRRC, including the University's requirements for new employees, information about MRRC safety training, and required training on responsible human and animal research. This is also the place to download our famous all-in-one MRRC manual, the Joe Friday Guide. After that, you'll probably want to get involved with experiments and data processing right away, so click on over to our Data Acquisition page to learn more about our MRI equipment, patient and animal support and physiology facilities, and a discussion of stimulus delivery computers and software. Data Analysis is a landing page for delving into the nitty-gritty of - you guessed it - MRI data analysis. There, you can link to the subsections of the Wiki that cover Image Conversion and Reconstruction, MRRC Neuroinformatics facilities, Structural MRI and VBM, Functional MRI, Diffusion, Pharmacological MRI, MR Spectroscopy, and μPET/CT Analysis. Each subsection has helpful hints, tips, and recipes for every step of data analysis.

Those brave (geeky) souls who navigate the seedy world of code may want to visit our page For Programmers. It contains information on the advanced use of the Einstein-Yeshiva high-performance computing cluster and MATLAB, and lists the compilers, libraries and toolkits available to MRRC programmers.

Finally, other folks doing data analysis just may be interested in Doctor Smith's Blog. It's a day-to-day accounting of the issues that face image analysts.

TIP: Windows 64-bit and SGD

If you have trouble getting into SGD:

  • If you're using Internet Explorer, make sure the "torn page" icon in the "address bar" is blue before you login to SGD.
  • Also make sure that your Java is up-to-date by going to
  • Finally, go into Internet Options > Manage Add-Ons and make sure anything labeled "Java(tm) Plug-In SSV Helper" is Enabled.
  • If all this fails, you're probably on a 64-bit system and need to install 64-bit Java from here, then restart your computer and download the "Secure Global Desktop Client" manually from here. After the Client is installed, go into C:\Program Files (x86)\Sun and locate "tcc.exe." Drag-and-drop it onto your Desktop, or right-click it and "Send to Desktop (Create Shortcut)." Double-click that whenever you want to login.


  • Please remember to contact Dr. Smith with your current email address so that you can be added to our MRRC Mailing List. You should also sign up for the YU Alert System so that you receive cell phone alerts in case of any campus emergencies or closings.
  • Babak Ardekani's new-and-improved corpus callosum detector, YUKI, is now available on the cluster. Documentation can be found here.


SGD can be accessed here, and WinSCP downloaded from here. For more details, please refer to the Joe Friday Guide.

Status of Computing Infrastructure

You can access ITS status updates here. The RSS feed for ITS updates is available here.

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