Design of High Robust Voice Interface for Speech Activated Neurosurgical Workstation

Ying, Xiaoyou; Koivukangas, John; Alakuijala, Jyrki; Oikarinen, Jarkko; Louhisalmi, Y.

doi:10.1007/978-3-642-49351-5_70

Cited by 2 publications

(4 citation statements)

References 2 publications

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“…The implementation of voice control system in neurosurgery is discussed in previous work (e.g. [14,19,37,41]), but most of these applications remained experimental and have never been commercially used to operate a surgical microscope [18]. The use of voice for adjusting microscope settings invites questions about how to simulate continuous commands such as zooming and focusing with a voice command [4].…”

Section: Signmentioning

confidence: 98%

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The potentials for hands-free interaction in micro-neurosurgery

Afkari

Eivazi

Bednarik

et al. 2014

Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational

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Micro-neurosurgery has been revolutionized by advances in the surgical microscope such as high magnification that have increased a surgeon's ability to have a clear view of the surgical field. High magnification necessitates frequent interaction with the microscope during an operation, and the current interaction technique for positioning and adjusting the microscope introduces risk factors that force a surgeon to remove hands from the operating field. The purpose of this study is to investigate the potential for hands-free interaction in microneurosurgery. We present findings from a contextual study of how neurosurgeons interact with the microscope and the surgical team, and discuss the implications of the findings for designing hands-free, especially gaze-based interaction techniques for micro-neurosurgery.

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Section: Signmentioning

confidence: 98%

“…First, a number of new input techniques such as foot switch, voice, and eye control have been suggested earlier by [4,35,41] to expand the ways in which surgeons interact with the operating microscope. Our interest is also to explore possibilities of new interaction techniques for the microscope.…”

Section: Introductionmentioning

confidence: 99%

The potentials for hands-free interaction in micro-neurosurgery

Afkari

Eivazi

Bednarik

et al. 2014

Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational

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“…Changing the display to show a multiple 2d images or one of the operation modes; navigation, ultrasound verification, microscopic viewing, or laser operation; could be done with a simple speech command. The speech recognition system developed for the Oulu Neuronavigator System is described in (Ying et al 1993). The author of this thesis wrote most of the speech related software on both the slave and master computers and designed the vocabulary hierarchy for surgical use.…”

Section: Speech Recognitionmentioning

confidence: 99%

“…Our long-term goal was to make the presence of a navigator technician or engineer unnecessary in the operating room. We used speech recognition (Ying et al 1993) to guide the computer in registration and to control the changes in visualization mode. We installed up to three push buttons into the navigator.…”

mentioning

confidence: 99%

Algorithms for modeling anatomic and target volumes in image‐guided neurosurgery and radiotherapy

Alakuijala¹

2002

Medical Physics

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The use of image-guidance in surgery and radiotherapy has significantly improved patient outcome in neurosurgery and radiotherapy treatments. This work developed volume definition and verification techniques for image-guided applications, using a number of algorithms ranging from image processing to visualization.Stereoscopic visualization, volumetric tumor model overlaid on an ultrasound image, and visualization of the treatment geometry were experimented with on a neurosurgical workstation. Visualization and volume definition tools were developed for radiotherapy treatment planning system.The magnetic resonance inhomogeneity correction developed in this work, possibly the first published data-driven method with wide applicability, automatically mitigates the RF field inhomogeneity artefact present in magnetic resonance images. Correcting the RF inhomogeneity improves the accuracy of the generated volumetric models.Various techniques to improve region growing are also presented. The simplex search method and combinatory similarity terms were used to improve the similarity function with a low additional computational cost and high yield in region correctness. Moreover, the effects of different priority queue implementations were studied.A fast algorithm for calculating high-quality digitally reconstructed radiographs has been developed and shown to better meet typical radiotherapy needs than the two alternative algorithms. A novel visualization method, beam's light view, is presented. It uses texture mapping for projecting the fluence of a radiation field on an arbitrary surface.This work suggests several improved algorithms for image processing, segmentation, and visualization used in image-guided treatment systems. The presented algorithms increase the accuracy of image-guidance, which can further improve the applicability and efficiency of imageguided treatments.

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Design of High Robust Voice Interface for Speech Activated Neurosurgical Workstation

Cited by 2 publications

References 2 publications

The potentials for hands-free interaction in micro-neurosurgery

The potentials for hands-free interaction in micro-neurosurgery

Algorithms for modeling anatomic and target volumes in image‐guided neurosurgery and radiotherapy

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