2007
DOI: 10.1109/tpami.2007.1154
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MultiStencils Fast Marching Methods: A Highly Accurate Solution to the Eikonal Equation on Cartesian Domains

Abstract: A wide range of computer vision applications require an accurate solution of a particular Hamilton- Jacobi (HJ) equation, known as the Eikonal equation. In this paper, we propose an improved version of the fast marching method (FMM) that is highly accurate for both 2D and 3D Cartesian domains. The new method is called multi-stencils fast marching (MSFM), which computes the solution at each grid point by solving the Eikonal equation along several stencils and then picks the solution that satisfies the upwind co… Show more

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Cited by 284 publications
(184 citation statements)
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“…[20][21][22] The method was used to calculate the shortest distance from a list of points to all other voxels in the image by solving the Eikonal equation. This method gave more accurate distances by using second-order derivatives and crossneighbors.…”
Section: Skeletonization (Step 4) the 3d Multistencils Fast Marchingmentioning
confidence: 99%
“…[20][21][22] The method was used to calculate the shortest distance from a list of points to all other voxels in the image by solving the Eikonal equation. This method gave more accurate distances by using second-order derivatives and crossneighbors.…”
Section: Skeletonization (Step 4) the 3d Multistencils Fast Marchingmentioning
confidence: 99%
“…Also, the inner distance can be defined by using other ways, for example, in terms of Eikonal equation [9] and heat flow [10]. In general, as noted in [7], the interior distance can be expressed in a continuous setting, however in practical applications usually approximations are used.…”
Section: Interior Distance Fieldsmentioning
confidence: 99%
“…The choice of this method over other existing in current state of the art (see section 2.2) is that it is easiest in terms of implementation and as e cient as some others (e.g. [9]). …”
Section: Interior Distance Field For Materials Featuresmentioning
confidence: 99%
“…Almost all recent mandibular canal segmentation papers use Dijkstra's algorithm [98], or Fast Marching [100] to improve the location of the nerve. This are distance algorithms which are useful to calculate the shortest path between two points.…”
Section: Fast Marchingmentioning
confidence: 99%