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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- 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
Subscribe to the Kitware's newsletter
to receive news about open-source on your desk, it's free!
Introduction. Computed tomography (CT) is the standard imaging modality for radiation therapy treatment planning (RTTP) because of its ability to provide information on electron density. However, magnetic resonance (MR) imaging provides superior soft tissue [...]
Automated segmentation is a frequently applied task in the course of medical imaging. Furthermore, it is a substantial component of image-guided radiotherapy. Atlas based segmentation is one of the most frequently used approach for automated segmentation. [...]
Glioblastoma (GBM) is the most common type of primary
brain tumor, which is characterized by an infiltrative growth pattern.
In current practice, radiotherapy planning is primarily based upon T2
FLAIR MRI despite its known lack of specificity in the detection [...]
Patient motion during radiotherapy or intra-fractional motion, is one of the major sources of uncertainty in dose application. 2D/3D registration is an intensity based method used successfully to track tumor motion with the potential to reduce uncertainty. [...]
Deformable (2D or 3D) medical image registration is a challenging problem. Existing approaches assume that the underlying deformation is smooth. This smoothness assumption allows for solving the deformable registration at a coarse resolution and interpolate [...]
Deformable (2D or 3D) medical image registration is a challenging problem. Existing approaches assume that the underlying deformation is smooth. This smoothness assumption allows for solving the deformable registration at a coarse resolution and interpolate [...]
Purpose: Recent years have seen growing interest in adaptive radiation therapy (RT), but the existing software tools are not ideal for research use, as they are either expensive and closed proprietary applications or free open-source packages with limited [...]
In this work, we try to develop a fast converging method for
segmentation assisted deformable registration. The segmentation step
consists of a piece-wise constant Mumford-Shah energy model while reg-
istration is driven by the sum of squared distances of [...]
In radiation treatment (RT) planning medical doctors need to consider a variety of information sources for anatomical and functional target volume delineation. The validation and inspection of the defined target volumes and the resulting RT plan is a complex [...]
In radiotherapy (RT) for tumor delineation and diagnostics, complementary information of multi-modal images is used. Using high ionizing radiation, the accuracy of registered volume data is crucial; therefore a reliable and robust evaluation method for [...]
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Publication of the Month
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| 3D Voxel-Based Volumetric Image Registration with Volume-View Guidance
by Li G., Xie H., Ning H., Citrin D., Copala J., Arora B., Coleman N., Camphausen K., Miller R.
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Issues Accepting Submissions
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| 2017 January-December 186 days |
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