The Insight Journal is an Open Access on-line publication covering the domain of medical image processing and visualization.

The unique characteristics of the Insight Journal include:

- Open-access to articles, data, code, and reviews
- Open peer-review that invites discussion between reviewers and authors
- Emphasis on reproducible science via automated code compilation and testing
- Support for continuous revision of articles, code, and reviews

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Efficient multithreading for manycore processor: Multidimensional domain decomposition using Intel® TBB
No opinion
The Insight Toolkit (ITK) utilizes a generic design for image processing filters that allows many developers to rapidly implement new algorithms. While ITK filters benefit from a platform-independent and versatile multithreading capability, the current [...]

Computing Textural Feature Maps for N-Dimensional images
No opinion
This document describes a new remote module implemented for the Insight Toolkit ITK, itkTextureFeatures. This module contains two texture analysis filters that are used to compute feature maps of N-Dimensional images using two well-known texture analysis [...]

N-Dimensional Computation of Strain Tensor Images in the Insight Toolkit
No opinion
Strain quantifies local deformation of a solid body. In medical imaging, strain reflects how tissue deforms under load. Or, it can quantify growth or atrophy of tissue, such as the growth of a tumor. Additionally, strain from the transformation that results [...]

Automatic Conductance Estimation Methods for Anisotropic Diffusion ITK Filters
No opinion
The anisotropic diffusion algorithm has been intensively studied in the past decades, which could be considered as a very efficient image denoising procedure in many biomedical applications. Several authors contributed many clever solutions for diffusion [...]

A patch-based framework for new ITK functionality: Joint fusion, denoising, and non-local super-resolution
No opinion
In an earlier Insight Journal article, we introduced an ITK implementation of the adaptive patch-based image denoising algorithm described in [3]. We follow-up up that offering with a generalized non-local, patch-based ITK class framework and a refactored [...]

Perturbing Mesh Vertices with Additive Gaussian Noise
No opinion
This brief document provides an introduction to an external ITK module, DVMeshNoise. This module provides classes for perturbing the positions of the vertices of either an itk::Mesh or itk::QuadEdgeMesh with Gaussian noise. This may be useful in testing the [...]

Anomalous Diffusion Paradigm for Image Denoising Process
No opinion
Anisotropic and isotropic diffusion equations have been extensively applied on biomedical image processing for many years and a great diversity of algorithm have been proposed by the scientific community. Here, it is available a recent new implementation of [...]

Two Luis Miguel fans walk into a bar in Nagoya ---> (yada, yada, yada) ---> an ITK-implementation of a popular patch-based denoising filter
No opinion
This document describes an ITK implementation of the adaptive patch-based image denoising algorithm described in cite{Manjon:2010aa}. This offering consists of the templated class itkPatchBasedDenoisingImageFilter interfaced through the DenoiseImage program [...]

ND morphological contour interpolation
No opinion
This document describes a new class, itk::MorphologicalContourInterpolator, which implements a method proposed by Albu et al. in 2008. Interpolation is done by first determining correspondence between shapes on adjacent segmented slices by detecting overlaps, [...]

RLEImage: run-length encoded memory compression scheme for an itk::Image
No opinion
This document describes a new class, itk::RLEImage, which uses run-length encoding to reduce the memory needed for storage of label maps. This class is accompanied by all the iterators to make it a dropin replacement for itk::Image. By changing the image [...]

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Browse Journals

Publication of the Month
A Surgical Assistant Workstation (SAW) Application for Teleoperated Surgical Robot System
by Jung M.Y., Xia T., Deguet A., Kumar R., Taylor R., Kazanzides P.

Issues Accepting Submissions
2017 January-December
131 days

Most Recent Reviews
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Valuable contribution
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