Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Monika Makūnaitė"'
Publikováno v:
Diagnostics, Vol 12, Iss 2, p 232 (2022)
Arterial stiffness is an independent predictor of cardiovascular events. The motion of arterial tissues during the cardiac cycle is important as a mechanical deformation representing vessel elasticity and is related to arterial stiffness. In addition
Externí odkaz:
https://doaj.org/article/6ddde6020fb5459f827ee91c08b23fc1
Publikováno v:
Sensors, Vol 21, Iss 13, p 4420 (2021)
Ultrasound echoscopy technologies are continuously evolving towards new modalities including quantitative parameter imaging, elastography, 3D scanning, and others. The development and analysis of new methods and algorithms require an adequate digital
Externí odkaz:
https://doaj.org/article/768767e741e04dd1bc8004deb11fb8de
Autor:
Mindaugas Baranauskas, Rytis Jurkonis, Arūnas Lukoševičius, Monika Makūnaitė, Vaidas Matijošaitis, Rymantė Gleiznienė, Daiva Rastenytė
Publikováno v:
Diagnostics, Vol 10, Iss 7, p 452 (2020)
We aim to estimate brain tissue displacements in the medial temporal lobe (MTL) using backscattered ultrasound radiofrequency (US RF) signals, and to assess the diagnostic ability of brain tissue displacement parameters for the differentiation of pat
Externí odkaz:
https://doaj.org/article/d3653efd7ae04544965c16c6493c4fed
Autor:
Rytis Jurkonis, Monika Makūnaitė, Mindaugas Baranauskas, Arūnas Lukoševičius, Andrius Sakalauskas, Vaidas Matijošaitis, Daiva Rastenytė
Publikováno v:
Diagnostics, Vol 10, Iss 2, p 57 (2020)
The purpose of this paper is a quantification of displacement parameters used in the imaging of brain tissue endogenous motion using ultrasonic radiofrequency (RF) signals. In a preclinical study, an ultrasonic diagnostic system with RF output was eq
Externí odkaz:
https://doaj.org/article/6c545548d764417184cdef23dd67fc2f
Autor:
Monika Makūnaitė, Rytis Jurkonis, Alberto Rodríguez-Martínez, Rūta Jurgaitienė, Vytenis Semaška, Karolina Mėlinytė, Raimondas Kubilius
Publikováno v:
Applied Sciences, Vol 9, Iss 3, p 465 (2019)
This paper shows the results of a preliminary study on the performance of new methods based on ultrasonic images parametrization, to estimate the arterial wall movements used for the evaluation of arterial stiffness, considered to be a predictor of c
Externí odkaz:
https://doaj.org/article/f54146631be24bc08e42608b0bd84e27
Autor:
Didier Vray, Rytis Jurkonis, Aimilia Gastounioti, Zhifan Gao, André Sérusclat, Konstantina S. Nikita, Spyretta Golemati, Guillaume Zahnd, Tomi Laitinen, Fereshteh Yousefi Rizi, Maciej Orkisz, Heikki Yli-Ollila, Jason S. Au, Maureen J. MacDonald, Monika Makūnaitė, Hamid Behnam, Tiina M. Laitinen, Nassir Navab
Publikováno v:
Ultrasound in Medicine & Biology
Ultrasound in Medicine & Biology, Elsevier, 2020, 46 (10), pp.2605-2624. ⟨10.1016/j.ultrasmedbio.2020.06.006⟩
Ultrasound in Medicine & Biology, Elsevier, 2020, 46 (10), pp.2605-2624. ⟨10.1016/j.ultrasmedbio.2020.06.006⟩
International audience; Motion extracted from the carotid artery wall provides unique information for vascular health evaluation. Carotid artery longitudinal wall motion corresponds to the multiphasic arterial wall excursion in the direction parallel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b6fcc2a1d5e646f08c3007008b689d6
https://doi.org/10.1016/j.ultrasmedbio.2020.06.006
https://doi.org/10.1016/j.ultrasmedbio.2020.06.006
Publikováno v:
Diagnostics; Volume 12; Issue 2; Pages: 232
Arterial stiffness is an independent predictor of cardiovascular events. The motion of arterial tissues during the cardiac cycle is important as a mechanical deformation representing vessel elasticity and is related to arterial stiffness. In addition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c037d2a9a71bd357e57090a2dedd7aa4
https://doi.org/10.3390/diagnostics12020232
https://doi.org/10.3390/diagnostics12020232
Autor:
Rymantė Gleiznienė, Mindaugas Baranauskas, Vaidas Matijošaitis, Monika Makūnaitė, Daiva Rastenytė, Rytis Jurkonis, Arūnas Lukoševičius
Publikováno v:
Diagnostics
Volume 10
Issue 7
Diagnostics, Vol 10, Iss 452, p 452 (2020)
Diagnostics, Basel : MDPI AG, 2020, vol. 10, iss. 7, art. no. 452, p. 1-14
Volume 10
Issue 7
Diagnostics, Vol 10, Iss 452, p 452 (2020)
Diagnostics, Basel : MDPI AG, 2020, vol. 10, iss. 7, art. no. 452, p. 1-14
We aim to estimate brain tissue displacements in the medial temporal lobe (MTL) using backscattered ultrasound radiofrequency (US RF) signals, and to assess the diagnostic ability of brain tissue displacement parameters for the differentiation of pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e6bb63e572cff7718afd7688445a03a
https://vb.ktu.edu/KTU:ELABAPDB65054849&prefLang=en_US
https://vb.ktu.edu/KTU:ELABAPDB65054849&prefLang=en_US
Autor:
Vaidas Matijošaitis, Andrius Sakalauskas, Monika Makūnaitė, Mindaugas Baranauskas, Arūnas Lukoševičius, Daiva Rastenytė, Rytis Jurkonis
Publikováno v:
Diagnostics; Volume 10; Issue 2; Pages: 57
Diagnostics
Diagnostics, Vol 10, Iss 2, p 57 (2020)
Diagnostics, Basel : MDPI, 2020, vol. 10, iss. 2, art. no. 57, p. 1-16
Diagnostics
Diagnostics, Vol 10, Iss 2, p 57 (2020)
Diagnostics, Basel : MDPI, 2020, vol. 10, iss. 2, art. no. 57, p. 1-16
The purpose of this paper is a quantification of displacement parameters used in the imaging of brain tissue endogenous motion using ultrasonic radiofrequency (RF) signals. In a preclinical study, an ultrasonic diagnostic system with RF output was eq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc7a1df4e218447d4cb2546f57b9638f
Autor:
Karolina Mėlinytė, Raimondas Kubilius, Rūta Jurgaitienė, Rytis Jurkonis, Alberto Rodríguez-Martínez, Vytenis Semaška, Monika Makūnaitė
Publikováno v:
Applied Sciences, Vol 9, Iss 3, p 465 (2019)
Applied Sciences
Volume 9
Issue 3
Applied Sciences
Volume 9
Issue 3
This paper shows the results of a preliminary study on the performance of new methods based on ultrasonic images parametrization, to estimate the arterial wall movements used for the evaluation of arterial stiffness, considered to be a predictor of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d934ff58302eadd57bd9ae1a1fcf76b2
https://www.mdpi.com/2076-3417/9/3/465
https://www.mdpi.com/2076-3417/9/3/465