Dynamic ultrasound imaging—A multivariate approach for the analysis and comparison of time-dependent musculoskeletal movements

BMC Medical Imaging

Johan Trygg¹  Michael Peolsson¹  Olof Ahnlund¹  Tommy Löfstedt¹ 

[1] Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, Umeå, Sweden

关键词: Speckle tracking;    O2PLS;    Multivariate data analysis;    Musculoskeletal movements;    Wavelet transform;    Medical imaging;    Ultrasound;   

Others  :  1091730
DOI  :  10.1186/1471-2342-12-29

 received in 2012-04-29, accepted in 2012-09-24,  发布年份 2012

【 摘 要 】

Background

Muscle functions are generally assumed to affect a wide variety of conditions and activities, including pain, ischemic and neurological disorders, exercise and injury. It is therefore very desirable to obtain more information on musculoskeletal contributions to and activity during clinical processes such as the treatment of muscle injuries, post-surgery evaluations, and the monitoring of progressive degeneration in neuromuscular disorders.

The spatial image resolution achievable with ultrasound systems has improved tremendously in the last few years and it is nowadays possible to study skeletal muscles in real-time during activity. However, ultrasound imaging has an inherent problem that makes it difficult to compare different measurement series or image sequences from two or more subjects. Due to physiological differences between different subjects, the ultrasound sequences will be visually different – partly because of variation in probe placement and partly because of the difficulty of perfectly reproducing any given movement.

Methods

Ultrasound images of the biceps and calf of a single subject were transformed to achieve congruence and then efficiently compressed and stacked to facilitate analysis using a multivariate method known as O2PLS. O2PLS identifies related and unrelated variation in and between two sets of data such that different phases of the studied movements can be analysed. The methodology was used to study the dynamics of the Achilles tendon and the calf and also the Biceps brachii and upper arm. The movements of these parts of the body are both of interest in clinical orthopaedic research.

Results

This study extends the novel method of multivariate analysis of congruent images (MACI) to facilitate comparisons between two series of ultrasound images. This increases its potential range of medical applications and its utility for detecting, visualising and quantifying the dynamics and functions of skeletal muscle.

Conclusions

The most important results of this study are that MACI with O2PLS is able to consistently extract meaningful variability from pairs of ultrasound sequences. The MACI method with O2PLS is a powerful tool with great potential for visualising and comparing dynamics between movements. It has many potential clinical applications in the study of muscle injuries, post-surgery evaluations and evaluations of rehabilitation, and the assessment of athletic training interventions.

【 授权许可】

   
2012 Löfstedt et al.; licensee BioMed Central Ltd.

【 图 表 】

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【 参考文献 】

• [1]Nørregaard J, Larsen CC, Bieler T, Langberg H: Eccentric exercise in treatment of Achilles tendinopathy. Scand J Med Sci Sports 2007, 17:133-138.
• [2]Grassi W, Filippucci E, Busilacchi P: Musculoskeletal ultrasound. Best Practice & Research Clinical Rheumatology 2004, 18:813-826.
• [3]Kane D, Balint PV, Sturrock R, Grassi W: Musculoskeletal ultrasound - a state of the art review in rheumatology. Part 1: Current controversies and issues in the development of musculoskeletal ultrasound in rheumatology. Rheumatology 2004, 43:823-828.
• [4]Korstanje JW, Selles R, Stam H, Hovius S, Bosch J: Development and validation of ultrasound speckle tracking to quantify tendon displacement. J Biomech 2010, 43:1373-1379.
• [5]Arndt A, Bengtsson A-S, Peolsson M, Thorstensson A, Movin T: Non-uniform displacement within the Achilles tendon during passive ankle joint motion. Knee Surgery Sports Traumatology, Arthroscopy 2011.
• [6]Oxborough D, George K, Birch KM: Intraobserver Reliability of Two-Dimensional Ultrasound Derived Strain Imaging in the Assessment of the Left Ventricle, Right Ventricle, and Left Atrium of Healthy Human Hearts. Echocardiography 2012, 29:793-802.
• [7]Cameron A, Rome K, Hing W: Ultrasound evaluation of the abductor hallucis muscle: Reliability study. Journal of Foot and Ankle Research 2008, 1:12. BioMed Central Full Text
• [8]Koppenhaver SL, Hebert JJ, Fritz JM, Parent EC, Teyhen DS, Magel JS: Reliability of Rehabilitative Ultrasound Imaging of the Transversus Abdominis and Lumbar Multifidus Muscles. Archives of Physical Medicine and Rehabilitation 2009, 90:87-94.
• [9]Eriksson L, Wold S, Trygg J: Multivariate analysis of congruent images (MACI). J Chemometr 2005, 19:393-403.
• [10]Peolsson M, Löfstedt T, Vogt S, Stenlund H, Arndt A, Trygg J: Modelling human musculoskeletal functional movements using ultrasound imaging. BMC Medical Imaging 2010., 10
• [11]Gonzalez RC, Woods RE: Digital Image Processing. 2nd edition. New Jersey: Prentice Hall; 2002.
• [12]Esbensen K, Geladi P: Strategy of multivariate image analysis (MIA). Chemometrics Intell Lab Syst 1989, 7:67-86.
• [13]Geladi P: Some special topics in multivariate image analysis. Chemometrics Intell Lab Syst 1992, 14:375-390.
• [14]Geladi P, Isaksson H, Lindqvist L, Wold S, Esbensen K: Principal component analysis of multivariate images. Chemometrics Intell Lab Syst 1989, 5:209-220.
• [15]Trygg J, Wold S: Orthogonal projections to latent structures (O-PLS). J Chemometr 2002, 16:119-128.
• [16]Trygg J: O2-PLS for quantitative and qualitative analysis in multivariate calibration. J Chemometr 2002, 16:283-293.
• [17]Trygg J, Wold S: O2-PLS a two-block (X-Y) latent variable regression (LVR) method with an integral OSC filter. J Chemometr 2003, 17:53-64.
• [18]Höskuldsson A: PLS Regression Methods. J Chemometr 1988, 2:211-228.
• [19]Wold H: Nonlinear Estimation by Iterative Least Square Procedures. In Research Papers in Statistics: Festschrift for J Neyman. Edited by David FN. London: Volume Wiley; 1966:411-444.
• [20]Wold S, Martens H, Wold H: The multivariate calibration problem in chemistry solved by the PLS method. In Matrix Pencils. 973rd edition. Edited by Kågström B, Ruhe A. Heidelberg: Springer Berlin; 1983:286-293. Lecture Notes in Mathematics
• [21]Stenlund H, Gorzsás A, Persson P, Sundberg B, Trygg J: Orthogonal Projections to Latent Structures Discriminant Analysis Modeling on in Situ FT-IR Spectral Imaging of Liver Tissue for Identifying Sources of Variability. Anal Chem 2008, 80:6898-6906.
• [22]Bharati MH, Liu JJ, MacGregor JF: Image texture analysis: methods and comparisons. Chemometrics Intell Lab Syst 2004, 72:57-71.
• [23]Korinek J, Wang JW, Sengupta PP, Miyazaki C, Kjaergaard J, McMahon E, Abraham TP, Belohlavek M: Two-dimensional strain - a Doppler-independent ultrasound method for quantitation of regional deformation: Validation in vitro and in vivo. J Am Soc Echocardiogr 2005, 18:1247-1253.
• [24]Amundsen BH, Helle-Valle T, Torp H, Crosby J, Støylen A, Ihlen H, Smiseth O, Slørdahl SA: Ultrasound speckle tracking reduces angle dependency of myocardial strain estimates - Validation by sonomicrometry. Euroecho 8. European Association of Echocardiography 2004.
• [25]Helle-Valle T, Crosby J, Edvardsen T, Lyseggen E, Amundsen BH, Smith HJ, Rosen BD, Lima JAC, Torp H, Ihlen H, Smiseth OA: New noninvasive method for assessment of left ventricular rotation - Speckle tracking echocardiography. Circulation 2005, 112:3149-3156.
• [26]Farnebäck G: Two-Frame Motion Estimation Based on Polynomial Expansion. In Proceedings of the 13th Scandinavian Conference on Image Analysis. Sweden: June-July; Gothenburg; 2003:363-370.
• [27]Revell JD, Mirmehdi M, McNally DS: Musculoskeletal motion flow fields using hierarchical variable-sized block matching in ultrasonographic video sequences. J Biomech 2004, 37:511-522.
• [28]Lin C-H, Lin MC-J, Sun Y-N: Ultrasound motion estimation using a hierarchical feature weighting algorithm. Computerized Medical Imaging and Graphics 2007, 31:178-190.
• [29]Ito L, Kawakami Y, Ichinose Y, Fukashiro S, Fukunaga T: Nonisometric behavior of fascicles during isometric contractions of a human muscle. J Appl Physiol 1998, 85:1230-1235.