Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Ravindra Mohan Manjeshwar"'
Autor:
Robert L. Harrison, Stan Majewski, Jinyi Qi, Julie A. Brefczynski-Lewis, Kuang Gong, Brian F. Elston, Paul E. Kinahan, Ravindra Mohan Manjeshwar, Alexander Stolin, Sergei Ivanovich Dolinsky
Publikováno v:
Physics in Medicine and Biology. 61:3681-3697
The desire to understand normal and disordered human brain function of upright, moving persons in natural environments motivates the development of the ambulatory micro-dose brain PET imager (AMPET). An ideal system would be light weight but with hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0557b7c1615a88e9ea81ce1e0cb0849c
https://doi.org/10.1088/0031-9155/61/10/3681
https://doi.org/10.1088/0031-9155/61/10/3681
Autor:
Evren Asma, Bruno De Man, Paul E. Kinahan, Adam M. Alessio, Ting Xia, Ravindra Mohan Manjeshwar
Publikováno v:
Physics in Medicine and Biology. 57:309-328
A challenge for positron emission tomography/computed tomography (PET/CT) quantitation is patient respiratory motion, which can cause an underestimation of lesion activity uptake and an overestimation of lesion volume. Several respiratory motion corr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39e5ed49e3e47f37bdf124379ea50b13
https://doi.org/10.1088/0031-9155/57/2/309
https://doi.org/10.1088/0031-9155/57/2/309
Autor:
Pablo Aguiar, Paul Marsden, Irene Polycarpou, Ravindra Mohan Manjeshwar, Kris Thielemans, Charalampos Tsoumpas
Publikováno v:
Annals of Nuclear Medicine. 25:643-649
In 3D PET, scatter of the gamma photons is one of the most significant physical factors which degrades not only image quality but also quantification. The currently most used scatter estimation method is the analytic single scatter simulation (SSS) w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c344f23ca2f3e2cb8286205567392c11
https://doi.org/10.1007/s12149-011-0514-y
https://doi.org/10.1007/s12149-011-0514-y
Autor:
Sergei Ivanovich Dolinsky, Jinyi Qi, Julie A. Brefczynski-Lewis, Robert L. Harrison, Brian F. Elston, Kuang Gong, Stan Majewski, Alexander Stolin, Ravindra Mohan Manjeshwar, Paul E. Kinahan
Publikováno v:
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
The desire to understand normal and disordered human brain of upright, moving persons in natural environments motivates the development of an ambulatory micro-dose brain PET imager (AMPET) [1]. An ideal system would be light weight and have high sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdaffa6b9e70b5c362bf50f154a88224
https://doi.org/10.1109/nssmic.2015.7582245
https://doi.org/10.1109/nssmic.2015.7582245
Autor:
Sangtae Ahn, Florian Wiesinger, Dattesh Dayanand Shanbhag, Lishui Cheng, Ravindra Mohan Manjeshwar
Publikováno v:
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Attenuation correction is critical to accurate PET quantitation. However, it is challenging to extract accurate attenuation from MR data because of distinct physics of MR and PET. The goal of this study is to achieve robust and accurate attenuation c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ace75b9c3ad68f4d3b3c09844c08be0
https://doi.org/10.1109/nssmic.2015.7582252
https://doi.org/10.1109/nssmic.2015.7582252
Autor:
Lishui Cheng, Xiao Jin, Steven G. Ross, Jun Miao, Evren Asma, Sangtae Ahn, Scott David Wollenweber, Ravindra Mohan Manjeshwar
Publikováno v:
Physics in medicine and biology. 60(15)
Ordered subset expectation maximization (OSEM) is the most widely used algorithm for clinical PET image reconstruction. OSEM is usually stopped early and post-filtered to control image noise and does not necessarily achieve optimal quantitation accur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b99722c05203cb339b4fdf11da4a3f0f
https://pubmed.ncbi.nlm.nih.gov/26158503
https://pubmed.ncbi.nlm.nih.gov/26158503
Publikováno v:
Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment.
Ordered Subset Expectation Maximization (OSEM) is currently the most widely used image reconstruction algorithm for clinical PET. However, OSEM does not necessarily provide optimal image quality, and a number of alternative algorithms have been explo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c04b6e4e545a2a5fb3465fc6ffdbec39
https://doi.org/10.1117/12.2082301
https://doi.org/10.1117/12.2082301
Publikováno v:
2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Attenuation correction is critical to positron emission tomography (PET) quantitation. Errors in an attenuation map propagate into PET image reconstruction, subsequently affecting PET quantitation. It is important to understand quantitatively how the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65819838865c26538b4e69589936f6e5
https://doi.org/10.1109/nssmic.2014.7430781
https://doi.org/10.1109/nssmic.2014.7430781
Autor:
Charles W. Stearns, Paul Schleyer, Jarmo Teuho, Kris Thielemans, Valentino Bettinardi, Ravindra Mohan Manjeshwar, Paul Marsden, Leon Menezes, Mika Teräs
Publikováno v:
2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Image quality in cardiac PET is impaired by both respiratory and cardiac motion. Dual-gating has been proposed as a means to obtain sinograms in various motion states. This data can then be used to produce dual-gated images or as a first step in proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb82d1ae7c85b100a7df1ed130b5c991
https://doi.org/10.1109/nssmic.2014.7430902
https://doi.org/10.1109/nssmic.2014.7430902
Publikováno v:
2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC).
Most image reconstruction methods have parameters for users to determine: for example, an iteration number and post-reconstruction filter parameters in OSEM, or a regularization parameter in penalized-likelihood (PL). To optimize such reconstruction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c1f3889267af9de0c48362f1f906e5f
https://doi.org/10.1109/nssmic.2013.6829034
https://doi.org/10.1109/nssmic.2013.6829034