Zobrazeno 1 - 10
of 3 665
pro vyhledávání: '"Magnetic Resonance Image"'
Autor:
Ashit Kumar Dutta, Yaseen Bokhari, Faisal Alghayadh, Shtwai Alsubai, Hadeel rami sami alhalabi, Mohammed umer, Abdul Rahaman Wahab Sait
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 884-902 (2024)
Early detection of brain tumors is essential, and a biopsy is required to determine the type of tumors in the brain and is only possible after extensive brain surgery. Brain tumors can be identified and classified by clinicians with the aid of comput
Externí odkaz:
https://doaj.org/article/56b73cdc1d9f4a9e99e3a3dd171b00be
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-22 (2024)
Abstract Detecting brain tumors early on is critical for effective treatment and life-saving efforts. The analysis of the brain with MRI scans is fundamental to the diagnosis because it contains detailed structural views of the brain, which is vital
Externí odkaz:
https://doaj.org/article/e0e53f06c6e8469ca13f8644ba769af0
Publikováno v:
IET Image Processing, Vol 18, Iss 12, Pp 3617-3633 (2024)
Abstract MRI (magnetic resonance imaging) images can effectively show the placental haemorrhage area. In view of the special properties and real‐time detection requirements of placental haemorrhage MRI images, this paper has systematically improved
Externí odkaz:
https://doaj.org/article/4e1038a4c57d4b1fb7a0305697a4f338
Autor:
Aneta Soltirovska Šalamon
Publikováno v:
Slovenska pediatrija, Vol 31, Iss 3, Pp 110-117 (2024)
Neuroimaging is not just a theoretical concept but a practical tool central to neonates‘ evaluation, treatment planning, and prognostic assessment. The sophistication and potential imaging data from standard and emerging neuroimaging techniques hav
Externí odkaz:
https://doaj.org/article/8ee2e96f99674cffa03fe48b8b7abd36
Publikováno v:
Zhongguo yiliao qixie zazhi, Vol 48, Iss 5, Pp 493-497 (2024)
This research utilizes a deep learning-based image generation algorithm to generate pseudo-sagittal STIR sequences from sagittal T1WI and T2WI MR images. The evaluations include both subjective assessments by two physicians and objective analyses, me
Externí odkaz:
https://doaj.org/article/024676da8c2844a0b0941e503dc8e13a
Publikováno v:
Journal of the Korean Society of Radiology, Vol 85, Iss 5, Pp 970-975 (2024)
Ovarian fibromatosis is a rare non-neoplastic condition that causes ovarian enlargement in women, typically around the age of 25. This enlargement is due to the proliferation of the collagen-producing ovarian stroma. On T2-weighted MRI, a key diagn
Externí odkaz:
https://doaj.org/article/9490563440394372b79b858ba5f8655e
Publikováno v:
Zhongguo linchuang yanjiu, Vol 37, Iss 8, Pp 1238-1243 (2024)
Objective To investigate the feasibility and clinical value of the deep learning reconstruction (DLR) algorithm in enhancing image quality and reducing scan time in shoulder MRI. Methods Fifty patients suspected of having shoulder joint lesions in th
Externí odkaz:
https://doaj.org/article/15ee7a1e44ad4c299b244cbb7bf6b703
Autor:
Tz-Yun Jan, Lee-Chin Wong, Chia-Jui Hsu, Chien-Feng Judith Huang, Steven Shinn-Forng Peng, Wen-Yih Isaac Tseng, Wang-Tso Lee
Publikováno v:
Journal of Neurodevelopmental Disorders, Vol 16, Iss 1, Pp 1-14 (2024)
Abstract Objective Rett syndrome (RTT) is characterized by neurological regression. This pioneering study investigated the effect of age on brain volume reduction by analyzing magnetic resonance imaging findings in participants with RTT, ranging from
Externí odkaz:
https://doaj.org/article/f00600faeb214393bd236b0652b4db76
Autor:
Yi Tang Chen, Sebastian Kurtek
Publikováno v:
Data Science in Science, Vol 3, Iss 1 (2024)
We use a geometric approach to jointly characterize tumor shape and intensity along the tumor contour, as captured in magnetic resonance images, in the context of glioblastoma multiforme. Key properties of the proposed shape + intensity representatio
Externí odkaz:
https://doaj.org/article/71c749c268c24afc88c76d1de5ea8243
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
PurposeTo assess the diagnostic potential of the synthetic MRI (SyMRI) for differentiating Warthin’s tumors (WT) from pleomorphic adenomas (PA).Materials and methodsForty-nine individuals with parotid gland tumors (PA, n = 23; WT, n = 26) were recr
Externí odkaz:
https://doaj.org/article/97de316cd500487895ba022bc8aac860