Output details
11 - Computer Science and Informatics
Imperial College London
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Output 0 of 0 in the submission
Article title
Interventional tool tracking using discrete optimization.
Type
D - Journal article
Title of journal
IEEE Transactions on Medical Imaging
Article number
-
Volume number
32
Issue number
3
First page of article
544
ISSN of journal
1558-254X
Year of publication
2013
URL
-
Number of additional authors
4
Additional information
<23> This paper discusses the use of a novel real-time tracking method for fluoroscopic image-guided interventions. It is the first paper making use of efficient discrete, combinatorial optimization for tool tracking. The article is an extension of a work presented at CVPR 2009 (acceptance rate of 26%). The work was funded by an industrial grant from Siemens Healthcare, and the proposed tracking method is considered for being integrated into the Siemens angio software package.
Interdisciplinary
-
Cross-referral requested
-
Research group
C - Visual Information Processing
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
