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  • 1.
    Albinsson, John
    et al.
    Lund Univ, Dept Biomed Engn, S-22100 Lund, Sweden..
    Brorsson, Sofia
    Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS).
    Rydén Ahlgren, Åsa
    Lund Univ, Dept Clin Sci, Clin Physiol & Nucl Med Unit, Malmo, Sweden..
    Cinthio, Magnus
    Lund Univ, Dept Biomed Engn, S-22100 Lund, Sweden..
    Improved tracking performance of lagrangian block-matching methodologies using block expansion in the time domain: In silico, phantom and invivo evaluations2014In: Ultrasound in Medicine and Biology, ISSN 0301-5629, E-ISSN 1879-291X, Vol. 40, no 10, p. 2508-2520Article in journal (Refereed)
    Abstract [en]

    The aim of this study was to evaluate tracking performance when an extra reference block is added to a basic block-matching method, where the two reference blocks originate from two consecutive ultrasound frames. The use of an extra reference block was evaluated for two putative benefits: (i) an increase in tracking performance while maintaining the size of the reference blocks, evaluated using in silico and phantom cine loops; (ii) a reduction in the size of the reference blocks while maintaining the tracking performance, evaluated using in vivo cine loops of the common carotid artery where the longitudinal movement of the wall was estimated. The results indicated that tracking accuracy improved (mean - 48%, p<0.005 [in silico]; mean - 43%, p<0.01 [phantom]), and there was a reduction in size of the reference blocks while maintaining tracking performance (mean - 19%, p<0.01 [in vivo]). This novel method will facilitate further exploration of the longitudinal movement of the arterial wall. (C) 2014 World Federation for Ultrasound in Medicine & Biology.

  • 2.
    Pedersen, Eja
    et al.
    Halmstad University, School of Business, Engineering and Science, The Rydberg Laboratory for Applied Sciences (RLAS).
    Persson Waye, K.
    Department of Acoustics, Aalborg University, Aalborg, Denmark.
    Audio-visual reactions to wind turbines2003In: Acta Acoustica united with Acustica, ISSN 1610-1928, E-ISSN 1861-9959, Vol. 89, no Suppl.Article in journal (Refereed)
    Abstract [en]

    A cross sectional study with the aim of evaluating dose response relationships between noise exposure from wind turbines and subjective reactions was performed in a flat landscape in Sweden. The study area comprised 16 turbines. Subjective reactions were obtained by a questionnaire, which purpose was masked. The response rate was 69% (356 respondents). Outdoor noise levels (dBA) were calculated for each dwelling at 2.5 dB intervals. The results showed a significant dose response relationship between noise level and annoyance. The prevalence of noise annoyance was comparatively high. In the categories of greatest noise exposure 37.5-40 dBA and >40 dBA, 20% (95%Cl: ±12.4) and 36% (95%Cl: ±18.4) were very annoyed. The noise only explained part of the annoyance. Noise annoyance was also correlated to visual factors such as the respondents’ opinion of the turbines’ impact on the landscape. To further study interactions between noise annoyance and visual disturbance, the shadows from wind turbines (hours/year) were calculated for each respondent and used as dose for annoyance of shadows, but also as a variable when trying to explain noise annoyance. The results of the analysis and the possible interactions between audio and visual annoyance will be presented at the conference.

  • 3.
    Verikas, Antanas
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
    Gelzinis, Adas
    Department of Applied Electronics, Kaunas University of Technology, Lithuania.
    Bacauskiene, Marija
    Department of Applied Electronics, Kaunas University of Technology, Lithuania.
    Valincius, Donata
    Department of Applied Electronics, Kaunas University of Technology, Lithuania.
    Uloza, Virgilijus
    Kaunas University of Medicine, Lithuania.
    A kernel-based approach to categorizing laryngeal images2007In: Computerized Medical Imaging and Graphics, ISSN 0895-6111, E-ISSN 1879-0771, Vol. 31, no 8, p. 587-594Article in journal (Refereed)
    Abstract [en]

    This paper is concerned with an approach to automated analysis of vocal fold images aiming to categorize laryngeal diseases. Colour, texture, and geometrical features are used to extract relevant information. A committee of support vector machines is then employed for performing the categorization of vocal fold images into healthy, diffuse, and nodular classes. The discrimination power of both, the original and the space obtained based on the kernel principal component analysis is investigated. A correct classification rate of over 92% was obtained when testing the system on 785 vocal fold images. Bearing in mind the high similarity of the decision classes, the correct classification rate obtained is rather encouraging.

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