Brain Imaging Software

A Brain Imaging Software performs many of the core functions involved in a brain imaging study. Please understand that brain imaging software is incorporated into the basic kind of brain imaging technology being used. While some are compatible with MRI, some work with PET only while some are compatible with both. The most common brain imaging techniques are Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) apart from CT scanning. Many people regard MRI as the better technique for brain imaging since it is able to provide more precise images of the active parts of the brain’s structure whereas other brain imaging techniques are more useful for evaluating the degree of functionality present in various zones of the brain.
Understanding Brain Imaging Software with Examples
The use of a Brain Imaging Software can be easily understood by how it helps brain images created via a Magnetic Resonance Imaging machine. The MRI machine is capable of taking cross-sectional images of the brain. This includes images captured from every angle, including the sides, top and front. These are often referred to as ‘sliced’ brain images. For improving quality of images obtained through MRI, Brain Imaging Software are used which basically involves manipulating the original MRI scans. For instance, sometimes Tissue Contrasting is done to better understand the brain’s inactive components. Sometimes, clinicians call upon clinical operators to use different imaging modalities for enhancing a certain part of the brain structure, i.e. increasing the contrast, brightness or clarifying margins of a certain part of the scanned image.
Computed Tomography & Brain Imaging Software
Computed Tomography (CT) is a bit lesser used but quite dependable form of brain imaging. This scanning technique helps to create images of the brain with the least degree of superimposition. This helps to get clearer, more readable images. However, the images obtained originally are re-processed and worked upon using CT image processing and Brain Imaging Software that involves the usage of complex analysis algorithms apart from some standardized image-tuning software like Adobe Photoshop and Corel PHOTO-PAINT. Brain imaging software use adjustment filters and re-defines images using a series of histograms, slowly plotting image intensity values for creating the clearest possible scan. These softwares provide a greater degree of customization in terms of image analysis, texture analysis, controlling morphology, better line detection, image segmentation and edge detection apart from using various feature measurement tools such as integrated density, skewness and Feret’s diameter.
3D Rendering Techniques Used in Brain Imaging Software Include:

  1. Surface Rendering
    In this application, a threshold value of radio-density is chosen by the clinical operator which forms the basis of how the three-dimensional model of the brain will be created. This can be created using different types of edge-detection algorithms that are displayed on the operator’s screen to help him choose a value that best highlights the brain’s structural or functional areas. Using this tool, multiple models can be created, i.e. using different thresholds, giving neurosurgeons the freedom of choosing the best scan, i.e. the one that combines different colors clearly since each color shade/code represents an anatomical section of the brain or the level of brain activity, helping the specialist decode the suspected neurological disorder.
  2. Volume Rendering
    Surface Rendering has some restrictions in the sense that it is more attuned towards creating displays of surfaces that fall within the predefined values of threshold density. Thus, any surface of the brain that falls out of this range is unlikely to be represented properly on the image. This is when Volume Rendering is used. It helps to manipulate the transparency range and define colors in such a way that the same scanned image is enhanced, i.e. given more volume, boosting its threshold density and overall clarity levels.