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Registration using 3D-printed rigid templates outperforms manually scanned surface matching in image-guided temporal bone surgery

Overview of attention for article published in International Journal of Computer Assisted Radiology and Surgery, June 2016
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Title
Registration using 3D-printed rigid templates outperforms manually scanned surface matching in image-guided temporal bone surgery
Published in
International Journal of Computer Assisted Radiology and Surgery, June 2016
DOI 10.1007/s11548-016-1441-0
Pubmed ID
Authors

Yamashita, Makoto, Matsumoto, Nozomu, Cho, Byunghyun, Komune, Noritaka, Onogi, Shinya, Lee, Jongseung, Bano, Jordan, Akahoshi, Tomohiko, Hashizume, Makoto

Abstract

Image-guided surgery (IGS) for otological procedures requires minimal invasiveness and a high degree of accuracy. We have recently developed a noninvasive registration method, the Surface Template-Assisted Marker Positioning (STAMP) method, which uses a rigid template of the surface of the temporal bone. However, the STAMP method is not applicable when the bony surface is not exposed, such as in endoscopic surgery. Thus, we extended our research to apply the STAMP method onto the skin and tested its feasibility in this study. We designed a phantom made of a rigid box and soft material for the study. The target registration error (TRE) was measured at preset measuring points in the phantom. We modified the STAMP method to be applicable for use on the skin around the ears (S-STAMP). The same phantom was also registered using the conventional, manually scanned surface matching method. We compared the TRE after the different registration methods. The TRE after the S-STAMP registration method was significantly smaller than that of the conventional surface matching method at all error measurement points in the phantom. However, the TRE after the S-STAMP registration method was significantly larger than that of paired point registration using invasive fiducial markers. The S-STAMP method using a rigid template on the soft surface yields a significantly smaller TRE than that of conventional, manually scanned surface matching registration. This strategy provides an alternative option to improve the accuracy of IGS without loading patients with additional invasive procedures.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Ph. D. Student 3 11%
Student > Master 3 11%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Other 6 22%
Unknown 6 22%
Readers by discipline Count As %
Medicine and Dentistry 10 37%
Engineering 5 19%
Unspecified 3 11%
Computer Science 2 7%
Neuroscience 1 4%
Other 0 0%
Unknown 6 22%

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 15 June 2016.
All research outputs
#6,841,931
of 7,902,020 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#85
of 147 outputs
Outputs of similar age
#223,477
of 267,774 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#12
of 15 outputs
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