Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Ville Kolehmainen"'
Autor:
Henri Taskinen, Arttu Väisänen, Lauri Hatakka, Timo H. Virtanen, Timo Lähivaara, Antti Arola, Ville Kolehmainen, Antti Lipponen
Publikováno v:
Geophysical Research Letters, Vol 49, Iss 18, Pp n/a-n/a (2022)
Abstract Poor air quality poses a great threat to human health. Accurate high‐resolution satellite remote sensing of atmospheric aerosols would highly benefit satellite‐based air quality estimates. We have developed and validated a post‐process
Externí odkaz:
https://doaj.org/article/0f6176a792494a86b1043fd2377cda91
Autor:
Antti Paajanen, Matti Hanhela, Nina Hänninen, Olli Nykänen, Ville Kolehmainen, Mikko J. Nissi
Publikováno v:
Journal of Imaging, Vol 9, Iss 8, p 151 (2023)
Knowledge of the relative performance of the well-known sparse and low-rank compressed sensing models with 3D radial quantitative magnetic resonance imaging acquisitions is limited. We use 3D radial T1 relaxation time mapping data to compare the tota
Externí odkaz:
https://doaj.org/article/d6c06fe664f04efcb1dcb14fbeb52346
Publikováno v:
Sensors, Vol 23, Iss 9, p 4462 (2023)
Accurate measurement of two-phase flow quantities is essential for managing production in many industries. However, the inherent complexity of two-phase flow often makes estimating these quantities difficult, necessitating the development of reliable
Externí odkaz:
https://doaj.org/article/bd0f71bc298a44b1b59d294ecab6928a
Publikováno v:
Journal of Imaging, Vol 8, Iss 6, p 157 (2022)
Quantitative MRI (qMRI) methods allow reducing the subjectivity of clinical MRI by providing numerical values on which diagnostic assessment or predictions of tissue properties can be based. However, qMRI measurements typically take more time than an
Externí odkaz:
https://doaj.org/article/f299d4e1721d402f8b885146f9eebbac
Autor:
Matti Hanhela, Olli Gröhn, Mikko Kettunen, Kati Niinimäki, Marko Vauhkonen, Ville Kolehmainen
Publikováno v:
Journal of Imaging, Vol 7, Iss 2, p 38 (2021)
In dynamic MRI, sufficient temporal resolution can often only be obtained using imaging protocols which produce undersampled data for each image in the time series. This has led to the popularity of compressed sensing (CS) based reconstructions. One
Externí odkaz:
https://doaj.org/article/cc9d846688314db0a5555f6a460219d2
Publikováno v:
Journal of Mathematical Imaging and Vision. 64:825-844
We propose a state estimation approach to time-varying magnetic resonance imaging utilizing a priori information. In state estimation, the time-dependent image reconstruction problem is modeled by separate state evolution and observation models. In o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b107cc4912e176cfb5495935e0f4478d
https://doi.org/10.1007/s10851-022-01095-x
https://doi.org/10.1007/s10851-022-01095-x
Publikováno v:
IEEE transactions on bio-medical engineering. 69(7)
In the above paper [1] there are two errors which we correct here. An important reference was omitted.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::1a6ef253ff7051fe3bb9e7750b7809b4
https://pubmed.ncbi.nlm.nih.gov/34665718
https://pubmed.ncbi.nlm.nih.gov/34665718
Autor:
Timo H. Virtanen, Tero Mielonen, Pekka Kolmonen, Antti Kukkurainen, Antti Lipponen, Ville Kolehmainen, Larisa Sogacheva, Neus Sabater, Antti Arola
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 2981-2992 (2021)
Satellite-based aerosol retrievals provide a timely view of atmospheric aerosol properties, having a crucial role in the subsequent estimation of air quality indicators, atmospherically corrected satellite data products, and climate applications. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b62d70e8250b6064402dcb3f296a7e4
https://doi.org/10.5194/amt-14-2981-2021
https://doi.org/10.5194/amt-14-2981-2021
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-12
As a noninvasive and nonradiation imaging modality, ultrasonic transmission tomography (UTT) has gained much attention in process parameter detections, such as multiphase flow measurement and combustion diagnosis. However, traditional static UTT imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d6e5fc3c3be1174c8506cf166652253
https://doi.org/10.1109/tim.2020.3031172
https://doi.org/10.1109/tim.2020.3031172
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-17
Characterization of two-phase flows is a common problem in the process industry. Due to complexity of flows, having accurate measurements of velocity fields, phase fractions, and the volumetric flow rates is challenging. Even though several approache
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a505cc04471f34dad6d4061ddfa50a8
https://doi.org/10.1109/tim.2021.3117365
https://doi.org/10.1109/tim.2021.3117365