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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Segmentation of Carotid Arteries By Graph-Cuts Using Centerline Models

Gulsun M.A., Tek H.

In this paper, we present a semi-automtic method for segmenting carotid arteries in contrast enhanced (CE)-CT angiography (CTA) scans. The segmentation algorithm extracts the lumen of carotid arteries between user specfied locations. Specifically, the [...]

downloaded 2207 times, viewed 13566 times and no review.

Adaptations of MARACAS algorithm to the segmentation of the carotid bifurcation and stenosis quantification in CTA images

Zuluaga M.A., Orkisz M., Delgado Leyton E.J., Dore V., Morales Pinzon A., Hernandez Hoyos M.

This paper describes a 3D CTA image segmentation method submitted to the CLS09 contest (Carotid Lumen Segmentation and Stenosis Quantification) held in conjunction with the MICCAI 2009 conference. First, images are denoised to improve image quality and [...]

downloaded 1507 times, viewed 13152 times and no review.

Fully automated segmentation of carotid and vertebral arteries from CTA

Cuisenaire O.

We propose a method for segmenting and labeling the main head and neck vessels (common, internal, external carotid and vertebral arteries) from a contrast enhanced computed tomography angiography (CTA) volume. First, an initial centerline of each vessel is [...]

downloaded 2251 times, viewed 12843 times and no review.

Principal Curves: a Technique for Preliminary Carotid Lumen Segmentation and Stenosis Grading

Wong W.C.K., So R.W.K., Chung A.C.S.

A vessel lumen centerline extraction method is presented. Its preprocessing and initialization for the application to 3D CT angiography (CTA) image volumes are also described. This approach is based upon the theory of principal curves to finding lumen axis. [...]

downloaded 1399 times, viewed 10189 times and no review.

AAM Segmentation of the Mandible and Brainstem

Babalola K., Cootes T.

The 2009 MICCAI Head and Neck Auto-Segmentation Challenge was aimed at assessing algorithms for automated segmentation of the brain stem and mandible from CT images for use in radiotherapy planning. The organisers provided 10 datasets with associated manual [...]

downloaded 1551 times, viewed 12204 times and no review.

A Minimal Cost Path and Level Set Evolution Approach for Carotid Bifurcation Segmentation

Krissian K., Arencibia S.

We propose a new approach for semi-automatic segmentation of the carotid bifurcation as part of the Carotid Lumen Segmentation and Stenosis Grading Challenge MICCAI'2009 workshop. Three initial points are provided as input, belonging to the Common, the [...]

downloaded 1928 times, viewed 13907 times and no review.

Carotid Lumen Segmentation Based on Tubular Anisotropy and Contours Without Edges

Mille J., BENMANSOUR F., Cohen L.

We present a semi-automatic algorithm for Carotid lumen segmentation on CTA images. Our method is based on a variant of the minimal path method that models the vessel as a centerline and boundary. This is done by adding one dimension for the local radius [...]

downloaded 1681 times, viewed 13233 times and no review.

Multi-object Segmentation of Head Bones

Kainmueller D., Lamecker H., Seim H., Zachow S.

We present a fully automatic method for 3D segmentation of the mandibular bone from CT data. The method includes an adaptation of statistical shape models of the mandible, the skull base and the midfacial bones, followed by a simultaneous graph-based [...]

downloaded 3300 times, viewed 14546 times and no review.

Segmentation of Head and Neck CT Scans Using Atlas-based Level Set Method

Zhang X., Tian J., Wu Y., Zheng J., Deng K.

In this paper, we present an atlas-based level set automatic method for segmenting anatomical structures in head and neck CT data, such as mandible and brainstem. The proposed method is a hybrid method that combines two aspects. First, we register the atlas [...]

downloaded 2107 times, viewed 14606 times and no review.

Active Contour-Based Segmentation of Head and Neck with Adaptive Atlas Selection

Gorthi S., Duay V., Bach Cuadra M., Tercier P., Allal A.S., Thiran J.

This paper presents automated segmentation of structures in the Head and Neck (H&N) region, using an active contour-based joint registration and segmentation model. A new atlas selection strategy is also used. Segmentation is performed based on the dense [...]

downloaded 1770 times, viewed 12561 times and no review.

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