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How much will linked deformable registrations decrease the quality of multi-atlas segmentation fusions?

Overview of attention for article published in Radiation Oncology, December 2014
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Title
How much will linked deformable registrations decrease the quality of multi-atlas segmentation fusions?
Published in
Radiation Oncology, December 2014
DOI 10.1186/s13014-014-0251-1
Pubmed ID
Authors

Carl Sjöberg, Silvia Johansson, Anders Ahnesjö

Abstract

Background and purposeMulti-atlas segmentation can yield better results than single atlas segmentation, but practical applications are limited by long calculation times for deformable registration. To shorten the calculation time pre-calculated registrations of atlases could be linked via a single atlas registered in runtime to the current patient. The primary purpose of this work is to investigate and quantify segmentation quality changes introduced by such linked registrations. We also determine the optimal parameters for fusing linked multi-atlas labels using probabilistic weighted fusion.Material and methodsComputed tomography images of 10 head and neck cancer patients were used as atlases, with parotid glands, submandibular glands, the mandible and lymph node levels II-IV segmented by an experienced radiation oncologist following published consensus guidelines. The change in segmentation quality scored by Dice similarity coefficient (DSC) for linking free-form deformable registrations, modeled by B-splines, was investigated for both single- and multi-atlas label fusion by using a leave-one-out approach.ResultsThe median decrease of the DSC was in the range 2.8% to 8.4% compared to direct registrations for all structures while reducing the computer calculation time to that of a single deformable registration. Linking several registrations showed a DSC decrease almost linear to the number of links, suggesting that extrapolation to zero links provides an observer independent measure of the inherent precision with which the segmentation guidelines can be applied.ConclusionsLinking pre-made registrations of multiple atlases via a runtime registration of a single atlas provides a feasible method for reducing computation time in multi-atlas registration.

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Geographical breakdown

Country Count As %
United Kingdom 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Other 1 17%
Lecturer > Senior Lecturer 1 17%
Student > Master 1 17%
Researcher 1 17%
Other 0 0%
Readers by discipline Count As %
Nursing and Health Professions 1 17%
Computer Science 1 17%
Psychology 1 17%
Physics and Astronomy 1 17%
Medicine and Dentistry 1 17%
Other 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 December 2014.
All research outputs
#18,387,239
of 22,775,504 outputs
Outputs from Radiation Oncology
#1,409
of 2,050 outputs
Outputs of similar age
#255,946
of 353,184 outputs
Outputs of similar age from Radiation Oncology
#55
of 87 outputs
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