Matches in SemOpenAlex for { <https://semopenalex.org/work/W2002276545> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2002276545 abstract "The paper discusses a new method for reconstructing vessel trees from biplane X-Ray projections. The used method reconstructs corresponding points in less than a second and is thus ideally suited for interventional procedures where time is essential. Biplane reconstruction is a two-fold problem: find corresponding points in both images and reconstruct the vessel segments between successive corresponding points in 3D. In this paper we solve the first problem using a new branch and bound technique based on Bayesian networks. With epipolar geometry we assign each of the vessel bifurcation/crossing/endpoint in one image a set of corresponding points in the second image. Starting with the vessel of largest diameter as root node we successively build up a tree of all possible solutions. Branches are cut according to probabilistic conditions (branch&bound based global search for the best solution). Each node is thus a possible partial tree for which we assign a conditional probability that the assignment of corresponding points is correct. The probability is the joint probability of having the correct topology, connectivity, tree and segment shape, characteristics of bifurcations. The respective probabilities for each bifurcation are measured from CTA data of real patients and the probability of the node is computed via a Bayesian network. If the assigned probability is too small, the branch is pruned. Further, for performance reasons we use A*-search where the most probable solution gets favored. All corresponding points are found in less then one second and both, topology and vessel crossings, are identified correctly. This method is thus by orders of magnitude faster than competing ones. This approach is therefore focused on both an automatic and robust method for 3D biplane reconstruction on one hand and an interactive method on the other hand. Further, it can be trained on a typical set of patients in order to obtain as reliable information as possible about the 3D vascular tree." @default.
- W2002276545 created "2016-06-24" @default.
- W2002276545 creator A5019078809 @default.
- W2002276545 creator A5062506814 @default.
- W2002276545 creator A5083522280 @default.
- W2002276545 date "2005-04-14" @default.
- W2002276545 modified "2023-09-23" @default.
- W2002276545 title "Automated 3D reconstruction of coronary artery tree based on stochastic branch and bound" @default.
- W2002276545 cites W1596206741 @default.
- W2002276545 cites W2784271107 @default.
- W2002276545 doi "https://doi.org/10.1117/12.594932" @default.
- W2002276545 hasPublicationYear "2005" @default.
- W2002276545 type Work @default.
- W2002276545 sameAs 2002276545 @default.
- W2002276545 citedByCount "3" @default.
- W2002276545 crossrefType "proceedings-article" @default.
- W2002276545 hasAuthorship W2002276545A5019078809 @default.
- W2002276545 hasAuthorship W2002276545A5062506814 @default.
- W2002276545 hasAuthorship W2002276545A5083522280 @default.
- W2002276545 hasConcept C105795698 @default.
- W2002276545 hasConcept C113174947 @default.
- W2002276545 hasConcept C11413529 @default.
- W2002276545 hasConcept C114614502 @default.
- W2002276545 hasConcept C121332964 @default.
- W2002276545 hasConcept C127413603 @default.
- W2002276545 hasConcept C134306372 @default.
- W2002276545 hasConcept C141379421 @default.
- W2002276545 hasConcept C154945302 @default.
- W2002276545 hasConcept C158622935 @default.
- W2002276545 hasConcept C160633673 @default.
- W2002276545 hasConcept C184720557 @default.
- W2002276545 hasConcept C2524010 @default.
- W2002276545 hasConcept C2781349735 @default.
- W2002276545 hasConcept C28719098 @default.
- W2002276545 hasConcept C33724603 @default.
- W2002276545 hasConcept C33923547 @default.
- W2002276545 hasConcept C41008148 @default.
- W2002276545 hasConcept C44492722 @default.
- W2002276545 hasConcept C49937458 @default.
- W2002276545 hasConcept C62520636 @default.
- W2002276545 hasConcept C62611344 @default.
- W2002276545 hasConcept C66938386 @default.
- W2002276545 hasConcept C77553402 @default.
- W2002276545 hasConcept C93693863 @default.
- W2002276545 hasConceptScore W2002276545C105795698 @default.
- W2002276545 hasConceptScore W2002276545C113174947 @default.
- W2002276545 hasConceptScore W2002276545C11413529 @default.
- W2002276545 hasConceptScore W2002276545C114614502 @default.
- W2002276545 hasConceptScore W2002276545C121332964 @default.
- W2002276545 hasConceptScore W2002276545C127413603 @default.
- W2002276545 hasConceptScore W2002276545C134306372 @default.
- W2002276545 hasConceptScore W2002276545C141379421 @default.
- W2002276545 hasConceptScore W2002276545C154945302 @default.
- W2002276545 hasConceptScore W2002276545C158622935 @default.
- W2002276545 hasConceptScore W2002276545C160633673 @default.
- W2002276545 hasConceptScore W2002276545C184720557 @default.
- W2002276545 hasConceptScore W2002276545C2524010 @default.
- W2002276545 hasConceptScore W2002276545C2781349735 @default.
- W2002276545 hasConceptScore W2002276545C28719098 @default.
- W2002276545 hasConceptScore W2002276545C33724603 @default.
- W2002276545 hasConceptScore W2002276545C33923547 @default.
- W2002276545 hasConceptScore W2002276545C41008148 @default.
- W2002276545 hasConceptScore W2002276545C44492722 @default.
- W2002276545 hasConceptScore W2002276545C49937458 @default.
- W2002276545 hasConceptScore W2002276545C62520636 @default.
- W2002276545 hasConceptScore W2002276545C62611344 @default.
- W2002276545 hasConceptScore W2002276545C66938386 @default.
- W2002276545 hasConceptScore W2002276545C77553402 @default.
- W2002276545 hasConceptScore W2002276545C93693863 @default.
- W2002276545 hasLocation W20022765451 @default.
- W2002276545 hasOpenAccess W2002276545 @default.
- W2002276545 hasPrimaryLocation W20022765451 @default.
- W2002276545 hasRelatedWork W1497200646 @default.
- W2002276545 hasRelatedWork W2002046412 @default.
- W2002276545 hasRelatedWork W2016688501 @default.
- W2002276545 hasRelatedWork W2145657603 @default.
- W2002276545 hasRelatedWork W2166816352 @default.
- W2002276545 hasRelatedWork W2349110499 @default.
- W2002276545 hasRelatedWork W2787090399 @default.
- W2002276545 hasRelatedWork W3034655717 @default.
- W2002276545 hasRelatedWork W3112648901 @default.
- W2002276545 hasRelatedWork W4293482492 @default.
- W2002276545 isParatext "false" @default.
- W2002276545 isRetracted "false" @default.
- W2002276545 magId "2002276545" @default.
- W2002276545 workType "article" @default.