The Neuroimaging In Neurology App

Welcome to Nina. This app contains more than 600 images collected from normal individuals and patients with a variety of neurological and neurosurgical disorders.

Learn Normal Anatomy

Interactive annotated images allow you to learn pertinent anatomy.

Imaging Features of Common Neurological Disorders

Learn to recognize key features of common classic disorders in a case format.

Clinical Points

Learn key clinical pearls regarding each classic disorder.

Normal Imaging

This section contains Magnetic Resonance Imaging (MRI) of the Brain, MRI of the Spine, Magnetic Resonance Angiography (MRA), Magnetic Resonance Venography (MRV), Computed Tomography (CT) of the Brain, and Conventional Angiography.

For most of the images, the native scan is shown without any labels. Buttons are shown labeled with anatomic areas of interest. Clicking on the button will cause the anatomy to be highlighted on the image. Also, clicking on the image itself will highlight the anatomy, display the name, and also light up the corresponding button. Users can quiz themselves by going through the names and the anatomy, in both directions.

Common Cases

This is the largest section, and consists of cases of patients with conditions most commonly seen in Neurology and Neurosurgery, and not the incredibly rare or esoteric. On the top of each image is a brief narrative of how the patient presented and the reason that the imaging study was done. Below the narrative is the native image without any labels or arrows. Beneath each image is an explanation of the radiologic image, including the modality, the view, and the pertinent findings. This is followed by a brief review of some of the most important clinical points pertinent to the disorder. In addition, each image has one or more blue buttons immediately below it. By pressing these blue buttons, different parts of the native image are highlighted with coloring, arrows or labels. To switch back to the original image, press anywhere on the image.

The interactive approach is used in order to allow the reader to be presented first with the clinical information and native image, decide what is normal or abnormal, point out these key imaging findings, and then use the interactive buttons to check whether the reader's analysis of the native image is correct. The reader will also be able to learn key facts about the radiology and clinical presentations of the various disorders.


Nina comes in two flavors, a free version that contains all of the Normal Imaging content plus some Cases content, and a full version that contains all of the Cases content. Either way, it would look good on your tablet (only iPads are supported for now).

Free Version

Full Version


This app was developed by:

  • James Y. Liao, MD, PhD - Design, programming, proofing
  • Deepak K. Gupta, MBBS - Design, proofing
  • Barbara E. Shapiro, MD, PhD - Content, proofing
  • David C. Preston, MD - Design, content, programming, proofing

  • Development of this app was supported by a Nord Grant through the University Center for Innovation in Teaching and Education (UCITE) at Case Western Reserve University.