Arterial input function segmentation based on a contour geodesic model for tissue at risk identification in ischemic stroke-Reference-Cited by-同舟云学术

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Arterial input function segmentation based on a contour geodesic model for tissue at risk identification in ischemic stroke

Published:2022-02-14 Issue:4 Volume:49 Page:2475-2485
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Bal Sukhdeep Singh¹²³,Chen Ke¹,Yang Fan‐Pei Gloria²⁴⁵⁶,Peng Giia‐Sheun⁷⁸

Affiliation:

1. Department of Mathematical Sciences University of Liverpool Liverpool UK

2. Center for Cognition and Mind Sciences National Tsing Hua University Hsinchu Taiwan

3. International Intercollegiate Ph.D. Programme National Tsing Hua University Hsinchu Taiwan

4. Department of Foreign Languages and Literature National Tsing Hua University Hsinchu Taiwan

5. Department of Radiology Graduate School of Dentistry Osaka University Osaka Japan

6. No. 101, Section 2, Guangfu Road, East District Hsinchu City Taiwan

7. Department of Neurology Tri‐Service General Hospital National Defense Medical Center Taipei Taiwan

8. Division of Neurology Department of Internal Medicine Taipei Veterans General Hospital Hsinchu Branch, Hsinchu County Hsinchu Taiwan

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15508

Reference35 articles.

1. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016

2. Delay and dispersion effects in dynamic susceptibility contrast MRI: Simulations using singular value decomposition

3. Automatic selection of arterial input function on dynamic contrast-enhanced MR images

4. Arterial input function in perfusion MRI: A comprehensive review

5. Perfusion imaging with NMR contrast agents

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1. Core and penumbra estimation using deep learning-based AIF in association with clinical measures in computed tomography perfusion (CTP);Insights into Imaging;2023-09-29

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