Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Sam, Sedaghat"'
Autor:
Fabian Schmitz, Hendrik Voigtländer, Hyungseok Jang, Heinz-Peter Schlemmer, Hans-Ulrich Kauczor, Sam Sedaghat
Publikováno v:
Diagnostics, Vol 14, Iss 19, p 2220 (2024)
Objectives: This study aims to investigate MRI features predicting the grade of STS malignancy using conventional image reading and radiomics. Methods: Pretherapeutic imaging data regarding size, tissue heterogeneity, peritumoral changes, necrosis, h
Externí odkaz:
https://doaj.org/article/b0690b72a26845ff8130b84d72c4bc77
Autor:
Naomi Larsen, Friederike Austein, Tristan Klintz, Graeme Campbell, Sam Sedaghat, Schekeb Aludin, Domagoj Schunk, Marcus Both, Olav Jansen, Patrick Langguth
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract Cardiac CT obtained in acute ischemic stroke patients can facilitate timely detection of cardiac sources of embolism and guide secondary prevention strategies. Spectral CT exploiting the simultaneous acquisition of separate higher-energy and
Externí odkaz:
https://doaj.org/article/dbc83b95179548e1902b44407a592e75
Autor:
Sam Sedaghat, Hyungseok Jang, Jiyo S. Athertya, Martin Groezinger, Jody Corey-Bloom, Jiang Du
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionAlthough many lesion-based MRI biomarkers in multiple sclerosis (MS) patients were investigated, none of the previous studies dealt with the signal intensity variations (SIVs) of MS lesions. In this study, the SIVs of MS lesions on direct
Externí odkaz:
https://doaj.org/article/b2b9abe6c31a46a29a6bc306fff78575
Autor:
Hyungseok Jang, Sam Sedaghat, Jiyo S. Athertya, Dina Moazamian, Michael Carl, Yajun Ma, Xing Lu, Alicia Ji, Eric Y. Chang, Jiang Du
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
PurposeQuantitative susceptibility mapping (QSM) has surfaced as a promising non-invasive quantitative biomarker that provides information about tissue composition and microenvironment. Recently, ultrashort echo time quantitative susceptibility mappi
Externí odkaz:
https://doaj.org/article/85f24e6542dd47d9b7aa24d1f07242e1
Autor:
Marie Schierenbeck, Martin Grözinger, Benjamin Reichardt, Olav Jansen, Hans-Ulrich Kauczor, Graeme M. Campbell, Sam Sedaghat
Publikováno v:
Diagnostics, Vol 13, Iss 17, p 2745 (2023)
Background: Detecting bone marrow edema (BME) as a sign of acute fractures is challenging on conventional computed tomography (CT). This study evaluated the diagnostic performance of a three-material decomposition (TMD) approach for detecting traumat
Externí odkaz:
https://doaj.org/article/11d570f2e5d1414ca03aed6f9c54b3e9
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background Soft-tissue sarcomas (STS) are rare tumors of the soft tissue. Recent diagnostic studies on STS mainly dealt with only few cases of STS and did not investigate the post-therapeutic performance of MRI in a routine clinical setting.
Externí odkaz:
https://doaj.org/article/103eb779c767453fa845d0eb4bfc0f06
Autor:
Amir Masoud Afsahi, Sam Sedaghat, Dina Moazamian, Ghazaleh Afsahi, Jiyo S. Athertya, Hyungseok Jang, Ya-Jun Ma
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
Articular cartilage is a major component of the human knee joint which may be affected by a variety of degenerative mechanisms associated with joint pathologies and/or the aging process. Ultrashort echo time (UTE) sequences with a TE less than 100 µ
Externí odkaz:
https://doaj.org/article/a1b066fbce574614b56bac5c6cda287c
Autor:
Jiyo S. Athertya, Yajun Ma, Amir Masoud Afsahi, Alecio F. Lombardi, Dina Moazamian, Saeed Jerban, Sam Sedaghat, Hyungseok Jang
Publikováno v:
Sensors, Vol 22, Iss 19, p 7459 (2022)
In this study, the feasibility of accelerated quantitative Ultrashort Echo Time Cones (qUTE-Cones) imaging with compressed sensing (CS) reconstruction is investigated. qUTE-Cones sequences for variable flip angle-based UTE T1 mapping, UTE adiabatic T
Externí odkaz:
https://doaj.org/article/560bc01d313f47748107f45159a13889
Akademický článek
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Autor:
Eren Bora Yilmaz, Tobias Fricke, Julian Laue, Constanze Polzer, Sam Sedaghat, Jan-Bernd Hoevener, Claus-Christian Glüer, Carsten Meyer
Publikováno v:
Medical Imaging 2023: Computer-Aided Diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef9d2e01b3a35898d21afdef938f1d83
https://doi.org/10.1117/12.2653526
https://doi.org/10.1117/12.2653526