Head CT: Toward Making Full Use of the Information the X-Rays Give

K.A. Cauley; Y. Hu; S.W. Fielden

doi:10.3174/ajnr.A7153

Review ArticleReview Article

Head CT: Toward Making Full Use of the Information the X-Rays Give

K.A. Cauley, Y. Hu and S.W. Fielden

American Journal of Neuroradiology August 2021, 42 (8) 1362-1369; DOI: https://doi.org/10.3174/ajnr.A7153

K.A. Cauley

aFrom the Department of Radiology (K.A.C.), Geisinger Medical Center, Danville, Pennsylvania

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Y. Hu

bDepartment of Biomedical & Translational Informatics (Y.H.), Geisinger Medical Center, Danville, Pennsylvania

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S.W. Fielden

cGeisinger Autism & Developmental Medicine Institute (S.W.F.), Lewisburg, Pennsylvania.

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vol. 42 no. 8 1362-1369

DOI

https://doi.org/10.3174/ajnr.A7153

PubMed

34140278

Published By

American Journal of Neuroradiology

Print ISSN

0195-6108

Online ISSN

1936-959X

History

Received February 8, 2021
Accepted after revision February 19, 2021
Published online August 11, 2021.

Author Information

K.A. Cauleya,
Y. Hub and
S.W. Fieldenc

^aFrom the Department of Radiology (K.A.C.), Geisinger Medical Center, Danville, Pennsylvania
^bDepartment of Biomedical & Translational Informatics (Y.H.), Geisinger Medical Center, Danville, Pennsylvania
^cGeisinger Autism & Developmental Medicine Institute (S.W.F.), Lewisburg, Pennsylvania.

Please address correspondence to Keith A. Cauley, MD, PhD, Geisinger Medical Center, Department of Radiology, Danville, PA 17821; e-mail: keithcauley{at}hotmail.com

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Funding

Geisinger Health System Foundation
SRC-L-58

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K.A. Cauley, Y. Hu, S.W. Fielden

Head CT: Toward Making Full Use of the Information the X-Rays Give

American Journal of Neuroradiology Aug 2021, 42 (8) 1362-1369; DOI: 10.3174/ajnr.A7153

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Head CT: Toward Making Full Use of the Information the X-Rays Give

K.A. Cauley, Y. Hu, S.W. Fielden

American Journal of Neuroradiology Aug 2021, 42 (8) 1362-1369; DOI: 10.3174/ajnr.A7153

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This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Computational Approaches for Acute Traumatic Brain Injury Image Recognition

Emily Lin, Esther L. Yuh

Frontiers in Neurology 2022 13
Medical image fusion quality assessment based on conditional generative adversarial network

Lu Tang, Yu Hui, Hang Yang, Yinghong Zhao, Chuangeng Tian

Frontiers in Neuroscience 2022 16
Toward Head Computed Tomography Image Reconstruction Standardization With Deep-Learning-Assisted Automatic Detection

Bowen Zheng, Chenxi Huang, Xiangji Chen, Yuemei Luo

IEEE Transactions on Instrumentation and Measurement 2024 73
Extraction of Radiological Characteristics From Free-Text Imaging Reports Using Natural Language Processing Among Patients With Ischemic and Hemorrhagic Stroke: Algorithm Development and Validation

Enshuo Hsu, Abdulaziz T Bako, Thomas Potter, Alan P Pan, Gavin W Britz, Jonika Tannous, Farhaan S Vahidy

JMIR AI 2023 2
Age- and sex-adjusted CT-based reference values for temporal muscle thickness, cross-sectional area and radiodensity

Emilia K. Pesonen, Otso Arponen, Jaakko Niinimäki, Nicole Hernández, Lasse Pikkarainen, Sami Tetri, Tommi K. Korhonen

Scientific Reports 2025 15 1
Assessment of image quality and establishment of local acceptable quality dose for computed tomography based on patient effective diameter

Nada Hasan, Chadia Rizk, Fatema Marzooq, Khalid Khan, Maryam AlKhaja, Esameldeen Babikir

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Computer, Communication, and Signal Processing. Smart Solutions Towards SDG

K. Gayatri, K. M. Anand Kumar, B. Padmavathi, Shankar

2025 723
Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging

Juliette Moreau, Laura Mechtouff, David Rousseau, Omer Faruk Eker, Yves Berthezene, Tae-Hee Cho, Carole Frindel

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