ISLES Challenge 2015: Automated Model-Based Segmentation of Ischemic Stroke in MR Images

2016 ◽  
pp. 246-253 ◽  
Author(s):  
Tom Haeck ◽  
Frederik Maes ◽  
Paul Suetens
Keyword(s):  
Ischemic Stroke ◽  
Mr Images ◽  
Model Based

Outcomes of intra-arterial thrombolytic treatment in acute ischemic stroke patients with a matched defect on diffusion and perfusion MR images

2011 ◽  
Vol 4 (2) ◽  
pp. 105-109 ◽  
Author(s):  
Gurpreet S Sandhu ◽  
Pankit T Parikh ◽  
Daniel P Hsu ◽  
Kristine A Blackham ◽  
Robert W Tarr ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Thrombolytic Treatment ◽  
Mr Images ◽  
Stroke Patients ◽  
Perfusion Mr

Combining variational and model-based techniques to register PET and MR images in hand osteoarthritis

2010 ◽  
Vol 55 (16) ◽  
pp. 4755-4769 ◽  
Author(s):  
Derek Magee ◽  
Steven F Tanner ◽  
Michael Waller ◽  
Ai Lyn Tan ◽  
Dennis McGonagle ◽  
...  
Keyword(s):  
Hand Osteoarthritis ◽  
Mr Images ◽  
Model Based

Evaluation of Ischemic Stroke Region From CT/MR Images Using Hybrid Image Processing Techniques

2018 ◽  
pp. 194-219 ◽  
Author(s):  
Rajinikanth V. ◽  
Suresh Chandra Satapathy ◽  
Nilanjan Dey ◽  
Hong Lin
Keyword(s):  
Image Processing ◽  
Ischemic Stroke ◽  
Hybrid Approach ◽  
Rapid Onset ◽  
Processing Technique ◽  
Experimental Result ◽  
Mr Images ◽  
Brain Abnormality ◽  
Social Group Optimization ◽  
The Brain

An ischemic stroke (IS) naturally originates with rapid onset neurological shortfall, which can be verified by analyzing the internal regions of brain. Computed tomography (CT) and magnetic resonance image (MRI) are the commonly used non-invasive medical examination techniques used to record the brain abnormalities for clinical study. In order to have a pre-opinion regarding the brain abnormality in clinical level, it is essential to use a suitable image processing tool to appraise the digital CT/MR images. In this chapter, a hybrid image processing technique based on the social group optimization assisted Tsallis entropy and watershed segmentation (WS) is proposed to examine ischemic stroke region from digital CT/MR images. For the experimental study, the digital CT/MRI datasets like Radiopedia, BRATS-2013, and ISLES-2015 are considered. Experimental result of this study confirms that, proposed hybrid approach offers superior results on the considered image datasets.

scholarly journals Significance of99mTc-ECD SPECT in Acute and Subacute Ischemic Stroke: Comparison with MR Images Including Diffusion and Perfusion Weighted Images

2002 ◽  
Vol 43 (2) ◽  
pp. 211 ◽  
Author(s):  
Hyun Sook Kim ◽  
Dong Ik Kim ◽  
Jong Doo Lee ◽  
Eun Kee Jeong ◽  
Tae Sub Chung ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Mr Images

Analysis of Ischemic Stroke MR Images by Means of Brain Atlases of Anatomy and Blood Supply Territories

2006 ◽  
Vol 13 (8) ◽  
pp. 1025-1034 ◽  
Author(s):  
Wieslaw L. Nowinski ◽  
Guoyu Qian ◽  
Bhanu Prakash Kirgaval Nagaraja ◽  
Arumugam Thirunavuukarasuu ◽  
Qingmao Hu ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Blood Supply ◽  
Mr Images ◽  
Brain Atlases

Model-based Clustering of Ischemic Stroke Patients

2015 ◽  
Author(s):  
Ahmedul Kabir ◽  
Carolina Ruiz ◽  
Sergio Alvarez ◽  
Nazish Riaz ◽  
Majaz Moonis
Keyword(s):  
Ischemic Stroke ◽  
Stroke Patients ◽  
Model Based Clustering ◽  
Model Based

Segmentation of cardiac tagged MR images using a snake model based on hybrid gradient vector flow

2017 ◽  
Vol 77 (17) ◽  
pp. 21879-21904 ◽  
Author(s):  
Zhuo Yu ◽  
Qian Wang ◽  
Wei Xiong ◽  
Chengde Zhang ◽  
Huaifei Hu
Keyword(s):  
Gradient Vector Flow ◽  
Gradient Vector ◽  
Mr Images ◽  
Snake Model ◽  
Model Based ◽  
Tagged Mr Images

Reduced rCBV Ratio in Perfusion-Weighted MR Images Predicts Poor Outcome after Thrombolysis in Acute Ischemic Stroke

2011 ◽  
Vol 65 (5) ◽  
pp. 257-263 ◽  
Author(s):  
Hyang-I Park ◽  
Jae-Kwan Cha ◽  
Myung-Jin Kang ◽  
Dae-Hyun Kim ◽  
Nam-Tae Yoo ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Mr Images ◽  
Poor Outcome
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