Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction

By S. Aylward, Elizabeth Bullitt. IEEE Transactions on Medical Imaging, 2002

686 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biophysics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/6815002b630db0a9552722a80917321748a74c32

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Citations in the corpus

Non-rigid image registration: theory and practice. (2004, background): “Other related applications include the registration of vascular images where the structures of interest are ‘‘tubes’’ [38, 39].”
Medical image segmentation on GPUs - A comprehensive review (2015, background): “Aylward and Bullitt (2002) presented a review of different centerline extraction methods.”
Computer analysis of computed tomography scans of the lung: a survey (2006, neutral): “up into four main strategies: (i) knowledge-based segmentation [19], [20]; (ii) region growing/wave propagation [19], [20], [22], [25], [27]–[33], [40]; (iii) centreline extraction [23], [24], [26]; (iv) mathematical morphology [25], [41], [42].”
Persistent Homology Analysis of Brain Artery Trees (2014, background): “Background and additional information concerning these data objects, which represent arteries in human brains (isolated via magnetic resonance imaging [3]), occupy Section 2.”
Curve-Skeleton Properties, Applications, and Algorithms (2007, methodology): “…tubular shape, methods aimed specifically at extracting the centerline of such tubular objects from medical images have been developed [9], [10], [40], [41] using field-specific knowledge (intensity variation of the blood vessels, connectivity) or simply the volumetric representation…”
Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures (2006, methodology): “We choose two specific measures here for our analysis, [42] and [49], which have been applied in a number of papers [38]–[40], [44], [45], [55].”
A review of vessel extraction techniques and algorithms (2004, background): “Some other publications of the authors describe the issues related to segmentation and graph description in detail [32], [35], [36], and [37].”
3D Skeletons: A State‐of‐the‐Art Report (2016, background): “The concept was next extended to 3D shapes, yielding a wide family of variations, including surface skeletons [SBTZ02], curve skele-tons [CSM07], and centerlines [WLK ∗ 02,AB02].”
The dual-bootstrap iterative closest point algorithm with application to retinal image registration (2003, background): “Of particular interest is the idea of aligning vascular features of one image with the intensity structure of another [2] , [3].”