Literature DB >> 20714012

Distance-driven skeletonization in voxel images.

Carlo Arcelli1, Gabriella Sanniti di Baja, Luca Serino.   

Abstract

A distance-driven method to compute the surface and curve skeletons of 3D objects in voxel images is described. The method is based on the use of the <3,4,5> weighted distance transform, on the detection of anchor points, and on the application of topology preserving removal operations. The obtained surface and curve skeletons are centered within the object, have the same topology as the object, and have unit thickness. The object can be almost completely recovered from the surface skeleton since this includes almost all of the centers of maximal balls of the object. Hence, the surface skeleton is a faithful representation. In turn, though only partial recovery is possible from the curve skeleton, this still provides an appealing representation of the object.

Mesh:

Year:  2011        PMID: 20714012     DOI: 10.1109/TPAMI.2010.140

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  5 in total

1.  A robust algorithm for thickness computation at low resolution and its application to in vivo trabecular bone CT imaging.

Authors:  Yinxiao Liu; Dakai Jin; Cheng Li; Kathleen F Janz; Trudy L Burns; James C Torner; Steven M Levy; Punam K Saha
Journal:  IEEE Trans Biomed Eng       Date:  2014-07       Impact factor: 4.538

2.  A New Approach of Arc Skeletonization for Tree-Like Objects Using Minimum Cost Path.

Authors:  Dakai Jin; Krishna S Iyer; Eric A Hoffman; Punam K Saha
Journal:  Proc IAPR Int Conf Pattern Recogn       Date:  2014-08

3.  A Robust and Efficient Curve Skeletonization Algorithm for Tree-Like Objects Using Minimum Cost Paths.

Authors:  Dakai Jin; Krishna S Iyer; Cheng Chen; Eric A Hoffman; Punam K Saha
Journal:  Pattern Recognit Lett       Date:  2015-04-15       Impact factor: 3.756

4.  Explicit shape descriptors: novel morphologic features for histopathology classification.

Authors:  Rachel Sparks; Anant Madabhushi
Journal:  Med Image Anal       Date:  2013-06-24       Impact factor: 8.545

5.  Quantitative assessment of cancer vascular architecture by skeletonization of high-resolution 3-D contrast-enhanced ultrasound images: role of liposomes and microbubbles.

Authors:  F Molinari; K M Meiburger; P Giustetto; S Rizzitelli; C Boffa; M Castano; E Terreno
Journal:  Technol Cancer Res Treat       Date:  2013-11-04
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.