Insight Journal (ISSN 2327-770X)

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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An Empirical Optimization to Logistic Classification Model

Senra Filho A.C.

Recently, the scientific community has been proposing several automatic algorithms to biomedical image segmentation procedure, being an interesting and helpful approach to assist both technicians and radiologists in this time-consuming and subjective task. [...]

downloaded 1 times, viewed 297 times and no review.

Adaptive Moment Estimator (Adam) Optimizer in ITK v3

Ajani B., Bharadwaj A.

This document describes an ITK class implementing an Adaptive Moment Estimator (Adam) optimizer algorithm within the Insight Toolkit ITK www.itk.org. Adam is an adaptive gradient descent optimizer, which independently adaptively estimates the gradient descent [...]

downloaded 0 times, viewed 2455 times and no review.

Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach

Lowekamp B., Chen D., Yaniv Z., Yoo T.

Superpixel algorithms have proven to be a useful initial step for segmentation and subsequent processing of images, reducing computational complexity by replacing the use of expensive per-pixel primitives with a higher-level abstraction, superpixels. They [...]

downloaded 1028 times, viewed 6597 times and no review.

Computing Bone Morphometric Feature Maps from 3-Dimensional Images

Vimort J., McCormick M., Paniagua B.

This document describes a new remote module implemented for the Insight Toolkit (ITK), itkBoneMorphometry. This module contains bone analysis filters that compute features from N-dimensional images that represent the internal architecture of bone. The [...]

downloaded 1789 times, viewed 9495 times and no review.

Efficient multithreading for manycore processor: Multidimensional domain decomposition using Intel® TBB

St-Onge E., Scherrer B., Warfield S.K.

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 [...]

downloaded 1902 times, viewed 9490 times and no review.

Computing Textural Feature Maps for N-Dimensional images

Vimort J., McCormick M., Budin F., Paniagua B.

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 [...]

downloaded 3404 times, viewed 11684 times and no review.

N-Dimensional Computation of Strain Tensor Images in the Insight Toolkit

McCormick M.

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 [...]

downloaded 2169 times, viewed 11622 times and no review.

Automatic Conductance Estimation Methods for Anisotropic Diffusion ITK Filters

Senra Filho A.C.

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 [...]

downloaded 1974 times, viewed 12046 times and no review.

A patch-based framework for new ITK functionality: Joint fusion, denoising, and non-local super-resolution

Tustison N., Avants B., Wang H., Xie L., Coupe P., Yushkevich P., Manjon J.

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 [...]

downloaded 2570 times, viewed 20485 times and no review.

Perturbing Mesh Vertices with Additive Gaussian Noise

Vigneault D.

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 [...]

downloaded 2482 times, viewed 19609 times and no review.

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