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  1. Article ; Online: Discovering Associations Between Acoustic Emission and Magnetic Resonance Imaging Biomarkers From 10 Osteoarthritic Knees.

    Shark, Lik-Kwan / Quan, Wei / Bowes, Michael A / Waterton, John C / Goodacre, John

    IEEE transactions on bio-medical engineering

    2022  Volume 69, Issue 11, Page(s) 3494–3503

    Abstract: Objective: Acoustic emission (AE) sensed from knee joints during weight-bearing movements greatly increases with joint deterioration, but the relationship between AE patterns and specific anatomical damage, as seen for example in magnetic resonance ... ...

    Abstract Objective: Acoustic emission (AE) sensed from knee joints during weight-bearing movements greatly increases with joint deterioration, but the relationship between AE patterns and specific anatomical damage, as seen for example in magnetic resonance imaging (MRI), is unknown. This knowledge is essential to validate AE biomarkers for the evaluation of knee joints, and forms the objective of this exploratory work to associate knee AE and MRI.
    Methods: A novel processing framework is proposed to enable direct correlation between static 3D MRI of knees and their dynamic 1D AE during sit-stand-sit movements. It comprises a method to estimate articular cartilage thickness according to joint angle from knee MRI, and a method to derive statistically representative waveform features according to joint angle from movement and load-dependent knee AE.
    Results: In 10 subjects diagnosed with knee osteoarthritis, age 55∼79 years and body mass index 25∼35 kg/m
    Conclusion: AE provides promising quantitative biomarkers in knee joint disease.
    Significance: These findings provide impetus for the further development of AE as a low-cost non-invasive biomarker modality to improve the management of knee joint disease.
    MeSH term(s) Humans ; Aged ; Knee Joint/diagnostic imaging ; Osteoarthritis, Knee/diagnostic imaging ; Cartilage, Articular/diagnostic imaging ; Cartilage, Articular/pathology ; Magnetic Resonance Imaging/methods ; Acoustics ; Biomarkers
    Chemical Substances Biomarkers
    Language English
    Publishing date 2022-10-19
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 160429-6
    ISSN 1558-2531 ; 0018-9294
    ISSN (online) 1558-2531
    ISSN 0018-9294
    DOI 10.1109/TBME.2022.3171493
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 425: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Book ; Conference proceedings: Proceedings of Atlantic Europe Conference on Remote Imaging and Spectroscopy

    Shark, Lik-Kwan

    11 - 12 September 2006, University of Central Lancashire, Preston, UK

    2006  

    Title variant AECRIS 2006
    Institution International Association for Pattern Recognition
    Event/congress AECRIS (2006.09.11-12, Preston) ; Atlantic Europe Conference on Remote Imaging and Spectroscopy (2006.09.11-12, Preston)
    Author's details IAPR, [International Association for Pattern Recognition]. Ed.: Lik-Kwan Shark
    Size 157 S.
    Publisher Inderscience Enterprises Ltd
    Publishing place Genève
    Document type Book ; Conference proceedings
    Note Auf der Haupttitels. auch AECRIS 2006
    ISBN 090777623X ; 0907776248 ; 9780907776239 ; 9780907776246
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  3. Article ; Online: Discovering differences in acoustic emission between healthy and osteoarthritic knees using a four-phase model of sit-stand-sit movements.

    Shark, Lik-Kwan / Chen, Hongzhi / Goodacre, John

    The open medical informatics journal

    2010  Volume 4, Page(s) 116–125

    Abstract: By performing repeated sit-stand-sit movements to create stress on knee joints, short transient bursts of high frequency acoustic emission (AE) released by the knee joints were acquired from two age matched groups consisting of healthy and osteoarthritic ...

    Abstract By performing repeated sit-stand-sit movements to create stress on knee joints, short transient bursts of high frequency acoustic emission (AE) released by the knee joints were acquired from two age matched groups consisting of healthy and osteoarthritic (OA) knees, and significant differences between these two groups were discovered from the signal analysis performed. The analysis is based on a four-phase model of sit-stand-sit movements and a two-feature descriptor of AE bursts. The four phases are derived from joint angle measurement during movement, and they consist of the ascending-acceleration and ascending-deceleration phases in the sit-to-stand movement, followed by the descending-acceleration and descending-deceleration phases in the stand-to-sit movement. The two features are extracted from AE measurement during movement, and they consist of the peak magnitude value and average signal level of each AE burst. The proposed analysis method is shown to provide a high sensitivity for differentiation of the two age matched healthy and OA groups, with the most significant difference found to come from the peak magnitude value in the ascending-deceleration phase, clear quantity and strength differences in the image based visual display of their AE feature profiles due to substantially more AE bursts from OA knee joints with higher peak magnitude values and higher average signal levels, and two well separated clusters in the space formed by the principal components. These results provide ample support for further development of AE as a novel tool to facilitate dynamic integrity assessment of knee joints in clinic and home settings.
    Language English
    Publishing date 2010-07-27
    Publishing country United Arab Emirates
    Document type Journal Article
    ZDB-ID 2395967-8
    ISSN 1874-4311 ; 1874-4311
    ISSN (online) 1874-4311
    ISSN 1874-4311
    DOI 10.2174/1874431101004010116
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA).

    Schlüter, Daniela K / Spain, Lucy / Quan, Wei / Southworth, Harry / Platt, Nicola / Mercer, Joe / Shark, Lik-Kwan / Waterton, John C / Bowes, Mike / Diggle, Peter J / Dixon, Mandy / Huddleston, Jane / Goodacre, John

    PloS one

    2019  Volume 14, Issue 10, Page(s) e0223711

    Abstract: Our objective was to determine the efficacy and feasibility of a new approach for identifying candidate biomarkers for knee osteoarthritis (OA), based on selecting promising candidates from a range of high-frequency acoustic emission (AE) measurements ... ...

    Abstract Our objective was to determine the efficacy and feasibility of a new approach for identifying candidate biomarkers for knee osteoarthritis (OA), based on selecting promising candidates from a range of high-frequency acoustic emission (AE) measurements generated during weight-bearing knee movement. Candidate AE biomarkers identified by this approach could then be validated in larger studies for use in future clinical trials and stratified medicine applications for this common health condition. A population cohort of participants with knee pain and a Kellgren-Lawrence (KL) score between 1-4 were recruited from local NHS primary and secondary care sites. Focusing on participants' self-identified worse knee, and using our established movement protocol, sources of variation in AE measurement and associations of AE markers with other markers were explored. Using this approach we identified 4 initial candidate AE biomarkers, of which "number of hits" showed the best reproducibility, in terms of within-session, day to day, week to week, between-practitioner, and between-machine variation, at 2 different machine upper frequency settings. "Number of hits" was higher in knees with KL scores of 2 than in KL1, and also showed significant associations with pain in the contralateral knee, and with body weight. "Hits" occurred predominantly in 2 of 4 defined movement quadrants. The protocol was feasible and acceptable to all participants and professionals involved. This study demonstrates how AE measurement during simple sit-stand-sit movements can be used to generate novel candidate knee OA biomarkers. AE measurements probably reflect a composite of structural changes and joint loading factors. Refinement of the method and increasing understanding of factors contributing to AE will enable this approach to be used to generate further candidate biomarkers for validation and potential use in clinical trials.
    MeSH term(s) Acoustics ; Biomarkers ; Body Mass Index ; Cartilage, Articular/diagnostic imaging ; Cartilage, Articular/pathology ; Female ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; Multimodal Imaging/methods ; Osteoarthritis, Knee/diagnosis ; Osteoarthritis, Knee/etiology ; Osteoarthritis, Knee/metabolism ; Radiography/methods ; Severity of Illness Index ; Sound
    Chemical Substances Biomarkers
    Language English
    Publishing date 2019-10-16
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0223711
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: A computationally efficient method for automatic registration of orthogonal x-ray images with volumetric CT data.

    Chen, Xin / Varley, Martin R / Shark, Lik-Kwan / Shentall, Glyn S / Kirby, Mike C

    Physics in medicine and biology

    2008  Volume 53, Issue 4, Page(s) 967–983

    Abstract: The paper presents a computationally efficient 3D-2D image registration algorithm for automatic pre-treatment validation in radiotherapy. The novel aspects of the algorithm include (a) a hybrid cost function based on partial digitally reconstructed ... ...

    Abstract The paper presents a computationally efficient 3D-2D image registration algorithm for automatic pre-treatment validation in radiotherapy. The novel aspects of the algorithm include (a) a hybrid cost function based on partial digitally reconstructed radiographs (DRRs) generated along projected anatomical contours and a level set term for similarity measurement; and (b) a fast search method based on parabola fitting and sensitivity-based search order. Using CT and orthogonal x-ray images from a skull and a pelvis phantom, the proposed algorithm is compared with the conventional ray-casting full DRR based registration method. Not only is the algorithm shown to be computationally more efficient with registration time being reduced by a factor of 8, but also the algorithm is shown to offer 50% higher capture range allowing the initial patient displacement up to 15 mm (measured by mean target registration error). For the simulated data, high registration accuracy with average errors of 0.53 mm +/- 0.12 mm for translation and 0.61 +/- 0.29 degrees for rotation within the capture range has been achieved. For the tested phantom data, the algorithm has also shown to be robust without being affected by artificial markers in the image.
    MeSH term(s) Algorithms ; Automatic Data Processing/methods ; Cone-Beam Computed Tomography/instrumentation ; Cone-Beam Computed Tomography/methods ; Humans ; Image Processing, Computer-Assisted/methods ; Pelvis/diagnostic imaging ; Phantoms, Imaging ; Skull/diagnostic imaging
    Language English
    Publishing date 2008-02-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/0031-9155/53/4/010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 199: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Book: Digital signal processing

    Terrell, Trevor J / Shark, Lik-Kwan

    a student guide

    1996  

    Author's details Trevor J. Terrell and Lik-Kwan Shark
    Language English
    Size XI, 326 S, zahlr. graph. Darst, 24 cm
    Publisher Macmillan
    Publishing place Basingstoke, Hampshire u.a.
    Document type Book
    Note Literaturverz. S. 322
    ISBN 0333637194 ; 9780333637197
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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