DMCA
Computer aided detection of pulmonary embolism with Tobogganing in CT angiography (2007)
| Venue: | In Proceedings of the 20th International Conference on Information Processing in Medical Imaging |
| Citations: | 3 - 2 self |
BibTeX
@INPROCEEDINGS{Liang07computeraided,
author = {Jianming Liang and Jinbo Bi},
title = {Computer aided detection of pulmonary embolism with Tobogganing in CT angiography},
booktitle = {In Proceedings of the 20th International Conference on Information Processing in Medical Imaging},
year = {2007}
}
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Abstract
Abstract. Pulmonary embolism (PE) is a very serious condition causing sudden death in about one-third of the cases. Treatment with anti-clotting medications is highly effective but not without complications, while diagnosis has been missed in about 70 % of the cases. A major clinical challenge, particularly in an Emergency Room, is to quickly and correctly diagnose patients with PE and then send them on to therapy. Computed tomographic pulmonary angiography (CTPA) has recently emerged as an accurate diagnostic tool for PE, but each CTPA study contains hundreds of CT slices. The accuracy and efficiency of interpreting such a large image data set is complicated by various PE look-alikes and also limited by human factors, such as attention span and eye fatigue. In response to this challenge, in this paper, we present a fast yet effective approach for computer aided detection of pulmonary embolism in CTPA. Our proposed approach is capable of detecting both acute and chronic pulmonary emboli with a distinguished feature of incrementally reporting any detection immediately once becoming available during searching, offering real-time support and achieving 80 % sensitivity at 4 false positives. This superior performance is contributed to our novel algorithms (concentration oriented tobogganing and multiple instance classification) introduced in this paper for candidate detection and false positive reduction. 1
Keyphrases
pulmonary embolism ct angiography serious condition anti-clotting medication distinguished feature accurate diagnostic tool diagnose patient chronic pulmonary embolus ctpa study real-time support attention span emergency room effective approach false positive reduction superior performance multiple instance classification human factor various pe look-alike computed tomographic pulmonary angiography sudden death novel algorithm candidate detection false positive major clinical challenge large image data set ct slice eye fatigue
