A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection Thickness

Autor: Sivakami Avadiappan, Seyedmehdi Payabvash, Melanie A. Morrison, Angela Jakary, Christopher P. Hess, Janine M. Lupo

Publikováno v: Frontiers in Neuroscience, Vol 14 (2020)

PurposePrecise quantification of cerebral arteries can help with differentiation and prognostication of cerebrovascular disease. Existing image processing and segmentation algorithms for magnetic resonance angiography (MRA) are limited to the analysi

Externí odkaz: https://doaj.org/article/27f89f312afe41b9a57d333d3675c1e3

A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning

Autor: Melanie A. Morrison, Seyedmehdi Payabvash, Yicheng Chen, Sivakami Avadiappan, Mihir Shah, Xiaowei Zou, Christopher P. Hess, Janine M. Lupo

Publikováno v: NeuroImage: Clinical, Vol 20, Iss , Pp 498-505 (2018)

Background and purpose: With extensive research efforts in place to address the clinical relevance of cerebral microbleeds (CMBs), there remains a need for fast and accurate methods to detect and quantify CMB burden. Although some computer-aided dete

Externí odkaz: https://doaj.org/article/c93008086107410e86893f41b69e53a3

Comparison of Quantitative Susceptibility Mapping Methods for Brain Iron Imaging at 7T

Autor: Jingwen Yao, Melanie A. Morrison, Angela Jakary, Sivakami Avadiappan, Yicheng Chen, Johanna Luitjens, Julia Glueck, Theresa Driscoll, Michael Geschwind, Alexandra Nelson, Javier Villanueva-Meyer, Christopher P. Hess, Janine M. Lupo

Publikováno v: SSRN Electronic Journal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7f4b1e11ccb5066cbb5b500aa2a92424
https://doi.org/10.2139/ssrn.4084425

Rate of radiation-induced microbleed formation on 7T MRI relates to cognitive impairment in young patients treated with radiation therapy for a brain tumor

Autor: Sivakami Avadiappan, Janine M. Lupo, Anu Banerjee, Sabine Mueller, Schuyler Stoller, Annette M. Molinaro, Melanie A. Morrison, Erin Felton, Christopher P. Hess, Justin Yuan, Steve Braunstein, Angela Jakary

Publikováno v: Radiother Oncol

BackgroundRadiation therapy (RT) is essential to the management of many brain tumors, but has been known to lead to cognitive decline and vascular injury in the form of cerebral microbleeds (CMBs).PurposeIn a subset of children, adolescents, and youn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45b4d6c58943d6cdac9d1a0251295662
https://pubmed.ncbi.nlm.nih.gov/32966846

A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning

Autor: Sivakami Avadiappan, Janine M. Lupo, Christopher P. Hess, Yicheng Chen, Seyedmehdi Payabvash, Xiaowei Zou, Mihir Shah, Melanie A. Morrison

Publikováno v: Morrison, Melanie A; Payabvash, Seyedmehdi; Chen, Yicheng; Avadiappan, Sivakami; Shah, Mihir; Zou, Xiaowei; et al.(2018). A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning. NEUROIMAGE-CLINICAL, 20, 498-505. doi: 10.1016/j.nicl.2018.08.002. UCSF: Retrieved from: http://www.escholarship.org/uc/item/7502199h
NeuroImage : Clinical
NeuroImage: Clinical, Vol 20, Iss, Pp 498-505 (2018)

Background and purpose With extensive research efforts in place to address the clinical relevance of cerebral microbleeds (CMBs), there remains a need for fast and accurate methods to detect and quantify CMB burden. Although some computer-aided detec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d38fe228959f6028b75b4acfa4293b3
https://escholarship.org/uc/item/7502199h