Search Results - "Nissi, Mikko J."

Magnetic resonance imaging of water vapor absorption in simulated corrugated board.

Authors: Tuomainen, Teemu V. Silvennoinen, Jukka Mattila, Terhi et al.

Source: Cellulose. Oct2023, Vol. 30 Issue 15, p9271-9281. 11p.

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Fast Compressed Sensing of 3D Radial T 1 Mapping with Different Sparse and Low-Rank Models.

Authors: Paajanen, Antti Hanhela, Matti Hänninen, Nina et al.

Source: Journal of Imaging; Aug2023, Vol. 9 Issue 8, p151, 15p

Quantification of Myocardial Blood Flow by Machine Learning Analysis of Modified Dual Bolus MRI Examination.

Authors: Husso, Minna Afara, Isaac O. Nissi, Mikko J. et al.

Source: Annals of Biomedical Engineering. 2021, Vol. 49 Issue 2, p653-662. 10p.

Subjects: Contrast-enhanced magnetic resonance imaging, Machine learning, Positron emission tomography, Impulse response, Magnetic resonance imaging, Videofluoroscopy

Correction: A musculoskeletal finite element model of rat knee joint for evaluating cartilage biomechanics during gait.

Authors: Orozco, Gustavo A. Karjalainen, Kalle Moo, Eng Kuan et al.

Source: PLoS Computational Biology. 3/29/2023, Vol. 19 Issue 3, p1-1. 1p.

Embedded Quantitative MRI T 1ρ Mapping Using Non-Linear Primal-Dual Proximal Splitting.

Authors: Hanhela, Matti Paajanen, Antti Nissi, Mikko J. et al.

Source: Journal of Imaging; Jun2022, Vol. 8 Issue 6, p157, 18p

A musculoskeletal finite element model of rat knee joint for evaluating cartilage biomechanics during gait.

Authors: Orozco, Gustavo A. Karjalainen, Kalle Moo, Eng Kuan et al.

Source: PLoS Computational Biology. 6/3/2022, Vol. 18 Issue 6, p1-23. 23p. 1 Color Photograph, 2 Diagrams, 2 Charts, 3 Graphs.

Novel Application of Magnetic Resonance Imaging Demonstrates Characteristic Differences in Vasculature at Predilection Sites of Osteochondritis Dissecans.

Authors: Tóth, Ferenc Nissi, Mikko J. Ellermann, Jutta M. et al.

Source: American Journal of Sports Medicine. Oct2015, Vol. 43 Issue 10, p2522-2527.

Axon fiber orientation as the source of T1 relaxation anisotropy in white matter: A study on corpus callosum in vivo and ex vivo.

Authors: Kauppinen, Risto A. Thothard, Jeromy Leskinen, Henri P. P. et al.

Source: Magnetic Resonance in Medicine. Aug2023, Vol. 90 Issue 2, p708-721. 14p.

Subjects: Fiber orientation, Corpus callosum, White matter (Nerve tissue), Axons, Diffusion magnetic resonance imaging

Multiparametric MRI of Epiphyseal Cartilage Necrosis (Osteochondrosis) with Histological Validation in a Goat Model.

Authors: Wang, Luning Nissi, Mikko J. Tóth, Ferenc et al.

Source: PLoS ONE. 10/16/2015, Vol. 10 Issue 10, p1-14. 14p.

Improved Visualization of Cartilage Canals Using Quantitative Susceptibility Mapping.

Authors: Nissi, Mikko J. Tóth, Ferenc Wang, Luning et al.

Source: PLoS ONE. 7/13/2015, Vol. 10 Issue 7, p1-15. 15p.

Susceptibility weighted imaging of cartilage canals in porcine epiphyseal growth cartilage ex vivo and in vivo.

Authors: Nissi, Mikko J. Toth, Ferenc Zhang, Jinjin et al.

Source: Magnetic Resonance in Medicine. Jun2014, Vol. 71 Issue 6, p2197-2205. 9p.

Anisotropy of T2 and T1ρ relaxation time in articular cartilage at 3 T.

Authors: Kantola, Ville Karjalainen, Jouni Jaakola, Tomi et al.

Source: Magnetic Resonance in Medicine. Sep2024, Vol. 92 Issue 3, p1177-1188. 12p.

Subjects: Articular cartilage, Anisotropy, Stifle joint, Magnetic fields, Cartilage

Critical-sized cartilage defects in the equine carpus.

Authors: Salonius, Eve Rieppo, Lassi Nissi, Mikko J. et al.

Source: Connective Tissue Research. Mar2019, Vol. 60 Issue 2, p95-106. 12p.

Validation and optimization of adiabatic T1ρ and T2ρ for quantitative imaging of articular cartilage at 3 T.

Authors: Casula, Victor Autio, Joonas Nissi, Mikko J. et al.

Source: Magnetic Resonance in Medicine. Mar2017, Vol. 77 Issue 3, p1265-1275. 11p.

Functional and structural properties of human patellar articular cartilage in osteoarthritis.

Authors: Nissinen, Mikko T. Hänninen, Nina Prakash, Mithilesh et al.

Source: Journal of Biomechanics. Sep2021, Vol. 126, pN.PAG-N.PAG.

Identification of locations susceptible to osteoarthritis in patients with anterior cruciate ligament reconstruction: Combining knee joint computational modelling with follow-up T1ρ and T2 imaging.

Authors: Bolcos, Paul O. Mononen, Mika E. Tanaka, Matthew S. et al.

Source: Clinical Biomechanics. Oct2020, Vol. 79, pN.PAG-N.PAG.

Disease severity classification using quantitative magnetic resonance imaging data of cartilage in femoroacetabular impingement.

Authors: Henn, Lisa L. Hughes, John Iisakka, Eleena et al.

Source: Statistics in Medicine. 4/30/2017, Vol. 36 Issue 9, p1491-1505. 15p.

Quantitative susceptibility mapping of articular cartilage: Ex vivo findings at multiple orientations and following different degradation treatments.

Authors: Nykänen, Olli Rieppo, Lassi Töyräs, Juha et al.

Source: Magnetic Resonance in Medicine. Dec2018, Vol. 80 Issue 6, p2702-2716. 15p.

Bone susceptibility mapping with MRI is an alternative and reliable biomarker of osteoporosis in postmenopausal women.

Authors: Chen, Yanjun Guo, Yihao Zhang, Xintao et al.

Source: European Radiology. Dec2018, Vol. 28 Issue 12, p5027-5034. 8p. 1 Diagram, 2 Charts, 3 Graphs.

Subjects: Osteoporosis, Osteoporosis in women, Postmenopause, Computed tomography, Biological tags, Bone fracture prevention, Longitudinal method, Lumbar vertebrae, Magnetic resonance imaging, Research funding, Bone density