Image correction software tools | Nuclear medicine imaging analysis
The factors that degrade the quality of nuclear medicine images result in blurred and noisy images with poor resolution. One of the most important factors that greatly affect the quality of clinical nuclear medicine images is image filtering. Image filtering is a mathematical processing for noise removal and resolution recovery. The goal of the filtering is to compensate for loss of detail in an image while reducing noise. Filters suppressed noise as well as deblurred and sharpened the image. In this way, filters can greatly improve the image resolution and limit the degradation of the image.
Increases the local contrast of an image. CLAHE uses the contrast limited adaptive histogram equalization to process. The contrast amplification in the vicinity of a given pixel value is delivered by the slope of the transformation function. This ImageJ plugin has three main parameters: block size, histogram and max slope.
Serves for iterative image deblurring. PID allows users to deconvolve a color image by splitting the channels and deblur each channel separately. It contains a graphical user interface (GUI) permitting users to specify several types of details such as stopping tolerance, threshold, or log convergence.
Resolves the complexities involved with conversion of medical image formats. (X)MedCon is a framework divided into 4 modules : (i) xmedcon that provides a graphical user interface (GUI) to assist novices, given the immediate visual control on selected options, (ii) medcon that offers command line interface for users who need batch conversion or usage within scripted environments; (ii) library that permits to access to an Application Programming Interface (API), which makes it possible for coders of existing tools to easily increase the number of supported image formats and (iv) the source that allows developers to adjust the library for site specific requirements.
Offers a method for applying partial volume correction (PVC) to positron emission tomography (PET) data. PETPVC is an open-source toolbox that provides eight core methods, able to correct for the tissue-fraction effect where appropriate data are available, including region-based voxel-wise correction (RBV), the Labbé method (LAB) and deconvolution techniques. The software was developed to be integrated into existing processing pipelines or used a basis for developing PVC approaches.
Displays and analyzes multimodality volumetric medical images. AMIDE provides the research community with a relatively full-featured, freely available, and open source solution for single and multimodality volumetric medical image analysis. It provides a variety of additional features useful to the molecular imaging researcher, including fully three dimensional ROI drawing and analysis for static and dynamic images, two and three way linked viewing (dual cursor mode), rigid body registration using fiducial markers, filtering and cropping of data sets, movie generation, series viewing, and volume rendering.
Offers a collection of filters for 3D images supported by Java Native Interface. FastFilter3D performs several 3D filtering on 8-bits and 16-16-bits gray-levels stacks. This ImageJ plugin performs the following 3D filters: median, mean, minimum, maximum, maximum local and topchat.