Roshan Roshankhah

College of Engineering

Works (7)

Updated: April 25th, 2025 18:00

2024 article

Lung quantitative ultrasound to stage and monitor interstitial lung diseases

Dashti, A., Roshankhah, R., Lye, T., Blackwell, J., Montgomery, S., Egan, T., … Muller, M. (2024, July 16). Scientific Reports, Vol. 14.

By: A. Dashti n, R. Roshankhah n, T. Lye *, J. Blackwell*, S. Montgomery*, T. Egan  n, J. Mamou *, M. Muller n 

MeSH headings : Lung Diseases, Interstitial / diagnostic imaging; Lung Diseases, Interstitial / pathology; Ultrasonography / methods; Animals; Lung / diagnostic imaging; Lung / pathology; Humans; Biomarkers / analysis; Male; Mice; Pulmonary Fibrosis / diagnostic imaging; Pulmonary Fibrosis / pathology; Rats; Pulmonary Alveoli / diagnostic imaging; Pulmonary Alveoli / pathology; Severity of Illness Index
topics (OpenAlex): Ultrasound in Clinical Applications; Ultrasound and Hyperthermia Applications; Ultrasonics and Acoustic Wave Propagation
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 28, 2024

2023 article

Investigating pulmonary edema in rat lungs using separation of multiple scattering and single scattering contribution

Roshankhah, R., Blackwell, J., Yuan, H., Egan, T. M., & Muller, M. (2023, March 1). The Journal of the Acoustical Society of America, Vol. 153.

By: R. Roshankhah n, J. Blackwell, H. Yuan*, T. Egan * & M. Muller n 

topics (OpenAlex): Ultrasound and Hyperthermia Applications; Ultrasound in Clinical Applications; Ultrasound Imaging and Elastography
Sources: Web Of Science, NC State University Libraries
Added: September 5, 2023

2023 article

Random matrix theory to quantify micro-structural changes in rodent lungs due to pulmonary diseases

Cole, A. D., Roshankhah, R., Blackwell, J., Montgomery, S. A., Egan, T. M., & Muller, M. (2023, March 1). The Journal of the Acoustical Society of America, Vol. 153.

By: A. Cole n, R. Roshankhah n, J. Blackwell*, S. Montgomery*, T. Egan * & M. Muller n 

topics (OpenAlex): Ultrasound and Hyperthermia Applications; Ultrasonics and Acoustic Wave Propagation
TL;DR: The random matrix theory is exploited to detect changes in rodent lungs exhibiting pulmonary fibrosis and edema and features of the eigenvalue distribution (E(x), the expected value, and, the Eigenvalue with the highest probability) are used to quantify changes in lung parenchyma and investigate whether they can improve the specificity of quantitative ultrasound to lung diseases. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: September 5, 2023

2021 article

In vivo assessment of pulmonary fibrosis and edema in rodents using the backscatter coefficient and envelope statistics

Lye, T. H., Roshankhah, R., Karbalaeisadegh, Y., Montgomery, S. A., Egan, T. M., Muller, M., & Mamou, J. (2021, July 1). The Journal of the Acoustical Society of America, Vol. 150, pp. 183–192.

By: T. Lye *, R. Roshankhah n, Y. Karbalaeisadegh n, S. Montgomery *, T. Egan *, M. Muller n , J. Mamou *

MeSH headings : Animals; Edema; Lung / diagnostic imaging; Male; Pulmonary Fibrosis / diagnostic imaging; Rats; Rodentia; Ultrasonography
topics (OpenAlex): Ultrasound and Hyperthermia Applications; Ultrasound in Clinical Applications; Ultrasonics and Acoustic Wave Propagation
TL;DR: Lung properties were quantified by BSC and envelope statistical parameters in normal, fibrotic, and edematous rat lungs in vivo to improve the diagnosis of pulmonary fibrosis and edema as well as monitor pulmonary Fibrosis. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 26, 2021

2021 article

Detecting pulmonary nodules by using ultrasound multiple scattering

Roshankhah, R., Blackwell, J., Ali, M. H., Masuodi, B., Egan, T., & Muller, M. (2021, December 1). The Journal of the Acoustical Society of America, Vol. 150, pp. 4095–4102.

By: R. Roshankhah n, J. Blackwell*, M. Ali*, B. Masuodi*, T. Egan * & M. Muller n 

MeSH headings : Animals; Dogs; Lung / diagnostic imaging; Lung Neoplasms / surgery; Multiple Pulmonary Nodules / diagnostic imaging; Multiple Pulmonary Nodules / surgery; Swine; Thoracic Surgery, Video-Assisted; Tomography, X-Ray Computed / methods
topics (OpenAlex): Ultrasound in Clinical Applications; Radiation Dose and Imaging; Atomic and Subatomic Physics Research
TL;DR: A method relying on mapping the multiple scattering contribution inside the highly scattering lung to detect and localize pulmonary nodules and the feasibility of this method was demonstrated in five ex-vivo lungs containing a total of 20 artificial nodules. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: December 13, 2021

2021 article

Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images

Roshankhah, R., Karbalaeisadegh, Y., Greer, H., Mento, F., Soldati, G., Smargiassi, A., … Muller, M. (2021, December 1). The Journal of the Acoustical Society of America, Vol. 150, pp. 4118–4127.

By: R. Roshankhah n, Y. Karbalaeisadegh *, H. Greer *, F. Mento *, G. Soldati *, A. Smargiassi *, R. Inchingolo *, E. Torri * ...

MeSH headings : COVID-19; Humans; Image Processing, Computer-Assisted; Lung / diagnostic imaging; Pandemics; SARS-CoV-2; Tomography, X-Ray Computed
topics (OpenAlex): Ultrasound in Clinical Applications; Phonocardiography and Auscultation Techniques; Radiology practices and education
TL;DR: Anautomatic segmentation method using a convolutional neural network is proposed to automatically stage the progression of the disease and shed light on the efficient approaches and common challenges associated with automatic segmentation methods. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: January 3, 2022

2020 article

Lesion Imaging and Target Detection in Multiple Scattering (LITMUS) Media

Mohanty, K., Roshankhah, R., Ulrich, M., & Muller, M. (2020, April 29). IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Vol. 67, pp. 2281–2290.

By: K. Mohanty n, R. Roshankhah n, M. Ulrich n & M. Muller n 

author keywords: Scattering; Imaging; Media; Ultrasonic imaging; Lesions; Transducers; Acoustics; Lesion detection; multiple scattering; random media; target detection; ultrasound imaging
MeSH headings : Algorithms; Image Processing, Computer-Assisted / methods; Models, Biological; Neoplasms / diagnostic imaging; Phantoms, Imaging; Scattering, Radiation; Ultrasonography / methods
topics (OpenAlex): Random lasers and scattering media; Photoacoustic and Ultrasonic Imaging; Microwave Imaging and Scattering Analysis
TL;DR: The present algorithm (LITMUS) has the capability to predict the location as well as the size of such lesions/targets by using the multiple scattered ultrasound signals to its advantage, despite the presence of strong heterogeneity and multiple scattering. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: December 21, 2020

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2026) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.