Influence of exercise loading on magnetic resonance image texture of thigh soft tissues

Clinical Physiology and Functional Imaging

Volumn 34, Issue 5, 2014, Pages 370-376

  Sikiö, Minna ^a,b   Harrison, Lara C V ^a,b   Nikander, Riku ^c,d,e   Ryymin, Pertti ^a   Dastidar, Prasun ^a,b   Eskola, Hannu J ^a,b   Sievänen, Harri ^f  

^a TAMPERE UNIVERSITY HOSPITAL   (Finland)

^b TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^c UNIVERSITY OF JYVÄSKYLÄ   (Finland)

^d GeroCenter Foundation for Research and Development   (Finland)

^e JYVÄSKYLÄ CENTRAL HOSPITAL   (Finland)

^f UKK INSTITUTE FOR HEALTH PROMOTION RESEARCH   (Finland)

Author keywords

Bone marrow; Fat; Femoral; Impact; Muscle; Quantitative analysis; Sport

Indexed keywords

ARTICLE; ATHLETE; BONE MARROW; CONTROLLED STUDY; EXERCISE; FEMALE; HUMAN; IMAGE ANALYSIS; LEG MUSCLE; MALE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SOFT TISSUE; SPORT; SUBCUTANEOUS FAT; THIGH; ADAPTATION; ANATOMY AND HISTOLOGY; COMPARATIVE STUDY; FEMUR; FITNESS; PREDICTIVE VALUE; SKELETAL MUSCLE;

ADAPTATION, PHYSIOLOGICAL; BONE MARROW; EXERCISE; FEMALE; FEMUR; HUMANS; MAGNETIC RESONANCE IMAGING; MUSCLE, SKELETAL; PHYSICAL FITNESS; PREDICTIVE VALUE OF TESTS; SUBCUTANEOUS FAT; THIGH;

EID: 84908356768     PISSN: 14750961     EISSN: 1475097X     Source Type: Journal    
DOI: 10.1111/cpf.12107     Document Type: Article

References (30)

1. Abe T, Kumagai K, Brechue WF. Fascicle length of leg muscles is greater in sprinters than distance runners. Med Sci Sports Exerc (2000); 32: 1125-1129.
2. Abernethy PJ, Jurimae J. Cross-sectional and longitudinal uses of isoinertial, isometric, and isokinetic dynamometry. Med Sci Sports Exerc (1996); 28: 1180-1187.
3. Baar K, Nader G, Bodine S. Resistance exercise, muscle loading/unloading and the control of muscle mass. Essays Biochem (2006); 42: 61-74.
4. Batchelor BG, Whelan PF. Texture analysis. In: Intelligent Vision Systems for Industry [e-book] (2002), pp. 56-60. http://elm.eeng.dcu.ie/~whelanp/ivsi/IVSI.pdf.
5. Blazevich AJ, Gill ND, Bronks R, Newton RU. Training-specific muscle architecture adaptation after 5-wk training in athletes. Med Sci Sports Exerc (2003); 35: 2013-2022.
6. Bousquet-Santos K, Vaisman M, Barreto ND, Cruz-Filho RA, Salvador BA, Frontera WR, Nobrega AC. Resistance training improves muscle function and body composition in patients with hyperthyroidism. Arch Phys Med Rehabil (2006); 87: 1123-1130.
7. Browning RC, Modica JR, Kram R, Goswami A. The effects of adding mass to the legs on the energetics and biomechanics of walking. Med Sci Sports Exerc (2007); 39: 515-525.
8. Caiozzo VJ, Perrine JJ, Edgerton VR. Training-induced alterations of the in vivo force-velocity relationship of human muscle. J Appl Physio (1981); 51: 750-754.
9. Collewet G, Strzelecki M, Mariette F. Influence of MRI acquisition protocols and image intensity normalization methods on texture classification. Magn Reson Imaging (2004); 22: 81-91.
10. Georgiadis P, Cavouras D, Kalatzis I, Glotsos D, Athanasiadis E, Kostopoulos S, Sifaki K, Malamas M, Nikiforidis G, Solomou E. Enhancing the discrimination accuracy between metastases, gliomas and meningiomas on brain MRI by volumetric textural features and ensemble pattern recognition methods. Magn Reson Imaging (2009); 27: 120-130.
11. Haddad F, Adams GR. Aging-sensitive cellular and molecular mechanisms associated with skeletal muscle hypertrophy. J Appl Physiol (2006); 100: 1188-1203.
12. Haralick RM. Statistical and structural approaches to texture. Proc IEEE (1979); 67: 786-804.
13. Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans Syst Man Cybern (1973); 3: 610-621.
14. Harrison LC, Nikander R, Sikio M, Luukkaala T, Helminen MT, Ryymin P, Soimakallio S, Eskola HJ, Dastidar P, Sievanen H. MRI texture analysis of femoral neck: detection of exercise load-associated differences in trabecular bone. J Magn Reson Imaging (2011); 34: 1359-1366.
15. Herlidou S, Rolland Y, Bansard JY, Le Rumeur E, de Certaines JD. Comparison of automated and visual texture analysis in MRI: characterization of normal and diseased skeletal muscle. Magn Reson Imaging (1999); 17: 1393-1397.
16. Holli K, Laaperi AL, Harrison L, Luukkaala T, Toivonen T, Ryymin P, Dastidar P, Soimakallio S, Eskola H. Characterization of breast cancer types by texture analysis of magnetic resonance images. Acad Radiol (2010a); 17: 135-141.
17. Holli KK, Harrison L, Dastidar P, Waljas M, Liimatainen S, Luukkaala T, Ohman J, Soimakallio S, Eskola H. Texture analysis of MR images of patients with mild traumatic brain injury. BMC Med Imaging (2010b); 10: 8.
18. Kassner A, Liu F, Thornhill RE, Tomlinson G, Mikulis DJ. Prediction of hemorrhagic transformation in acute ischemic stroke using texture analysis of postcontrast T1-weighted MR images. J Magn Reson Imaging (2009); 30: 933-941.
19. Langenberger H, Shimizu Y, Windischberger C, Grampp S, Berg A, Ferlitsch K, Moser E. Bone homogeneity factor: an advanced tool for the assessment of osteoporotic bone structure in high-resolution magnetic resonance images. Invest Radiol (2003); 38: 467-472.
20. Mahmoud-Ghoneim D, de Certaines JD, Herlidou S, Rolland Y, Maniere A. Gender difference on magnetic resonance imaging texture analysis of human adipose tissue. J Wom Imag (2001); 3: 105-107.
21. Mahmoud-Ghoneim D, Toussaint G, Constans JM, de Certaines JD. Three dimensional texture analysis in MRI: a preliminary evaluation in gliomas. Magn Reson Imaging (2003); 21: 983-987.
22. Mahmoud-Ghoneim D, Bonny JM, Renou JP, de Certaines JD. Ex-vivo magnetic resonance image texture analysis can discriminate genotypic origin in bovine meat. J Sci Food Agric (2005); 85: 629-632.
23. Mahmoud-Ghoneim D, Cherel Y, Lemaire L, de Certaines JD, Maniere A. Texture analysis of magnetic resonance images of rat muscles during atrophy and regeneration. Magn Reson Imaging (2006); 24: 167-171.
24. Mathias JM, Tofts PS, Losseff NA. Texture analysis of spinal cord pathology in multiple sclerosis. Magn Reson Med (1999); 42: 929-935.
25. Nakai R, Azuma T, Sudo M, Urayama S, Takizawa O, Tsutsumi S. MRI analysis of structural changes in skeletal muscles and surrounding tissues following long-term walking exercise with training equipment. J Appl Physiol (2008); 105: 958-963.
26. Nikander R, Kannus P, Dastidar P, Hannula M, Harrison L, Cervinka T, Narra NG, Aktour R, Arola T, Eskola H, Soimakallio S, Heinonen A, Hyttinen J, Sievanen H. Targeted exercises against hip fragility. Osteoporos Int (2009); 20: 1321-1328.
27. Rantalainen T, Nikander R, Heinonen A, Cervinka T, Sievanen H, Daly RM. Differential effects of exercise on tibial shaft marrow density in young female athletes. J Clin Endocrinol Metab (2013); 98: 2037-2044.
28. Strzelecki M, Szczypinski P, Materka A, Klepaczko A. A software tool for automatic classification and segmentation of 2D/3D medical images. Nucl Instrum Methods Phys Res A (2013); 702: 137-140.
29. Szczypinski PM, Strzelecki M, Materka A, Klepaczko A. MaZda - A software package for image texture analysis. Comput Methods Programs Biomed (2009); 94: 66-76.
30. Wilson GJ, Newton RU, Murphy AJ, Humphries BJ. The optimal training load for the development of dynamic athletic performance. Med Sci Sports Exerc (1993); 25: 1279-1286.