Article
Physiology
Jacob Herrmann, Sarah E. Gerard, Wei Shao, Yi Xin, Maurizio Cereda, Joseph M. Reinhardt, Gary E. Christensen, Eric A. Hoffman, David W. Kaczka
Summary: The study found that different lung regions exhibit varying intratidal aeration changes during exhalation, with poorly aerated regions showing larger changes compared to normally aerated regions. Following lung injury, poorly aerated regions have shorter time constants and experience larger intratidal changes, however, the longest time scales for the largest aeration changes are still within poorly aerated regions.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lea Azour, David S. Mendelson, Linda Rogers, Mary M. Salvatore
Summary: The study found that diaphragmatic excursion is a quantitative measure of expiratory effort in asthma patients, as validated by both lung and tracheal volumes. It may be more accurate than qualitative assessment based on tracheal morphology.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sarah E. Gerard, Muhammad F. A. Chaudhary, Jacob Herrmann, Gary E. Christensen, Raul San Jose Estepar, Joseph M. Reinhardt, Eric A. Hoffman
Summary: This study explores the use of deep generative models to directly predict local tissue volume change from lung CT images. A residual regression convolutional neural network is proposed for this purpose. Registration-based displacement field is used to calculate the Jacobian image, which is used as the ground truth for local tissue volume change. The results show that using paired CT images acquired at TLC and FRC allows for more accurate prediction of local tissue expansion. However, even with a single input image, the network still shows promising results, particularly after correcting for effort, and allows for local tissue expansion estimation in cases where multiple CT scans are not available.
Article
Engineering, Biomedical
A. Stavropoulou, A. Szmul, E. Chandy, C. Veiga, D. Landau, J. R. McClelland
Summary: This study proposes a novel method to successfully register longitudinal CT scans from RILD patients, despite large anatomical changes such as consolidation and atelectasis. By extracting consistent anatomical features from CT and using these features to optimize registration, the novel multichannel registration method outperforms traditional intensity-based registration both quantitatively and through thorough visual inspection.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Subha Ghosh
Summary: This study evaluated high-resolution computed tomography (HRCT) findings in adult patients with asthma and found that expiratory scans accurately quantified areas of air trapping. The CT pixel indices (PI) correlated well with pulmonary function test (PFT) results, which helped differentiate patients with different severity of asthma.
Article
Engineering, Chemical
Michael R. MacIver, Abhay Sablok, Marek Pawlik
Summary: This study utilizes an image registration method combining CT and SEM-EDX technologies to successfully measure the volume and concentration of apatite-bearing phase in low-grade apatite ore, providing a foundation for further research. It was found that the apatite mass fraction in individual particles varied significantly, indicating that the low-grade apatite ore studied is a mixture of high- and low-grade particles.
MINERALS ENGINEERING
(2021)
Article
Physiology
Jiwoong Choi, Kum Ju Chae, Gong Yong Jin, Ching-Long Lin, Archana T. Laroia, Eric A. Hoffman, Chang Hyun Lee
Summary: This study used quantitative CT image matching to assess lung motion in idiopathic interstitial lung diseases (UIP and NSIP) and found different characteristics between UIP and NSIP.
FRONTIERS IN PHYSIOLOGY
(2022)
Review
Medicine, General & Internal
Tae Iwasawa, Shoichiro Matsushita, Mariko Hirayama, Tomohisa Baba, Takashi Ogura
Summary: Thin-section CT is widely used for assessing respiratory function and morphology, providing precise measurements of lung structures. These quantitative image analysis methods have important applications in studying the early stages and progression of lung diseases, particularly valuable during the COVID-19 pandemic.
Article
Medicine, General & Internal
Andrzej Obojski, Mateusz Patyk, Urszula Zaleska-Dorobisz
Summary: This study found that the thickness of the bronchial wall was greater in the SA-PAL group than in the COPD group, with the lowest lung density observed in the SA-PAL group and a higher percentage of low-attenuation volume compared to the healthy volunteer group. Severe asthma with persistent airflow limitation and COPD become similar in terms of functional and morphological dimensions over time, both showing emphysema qualities.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Public, Environmental & Occupational Health
Xiao Chen, Yang Zhang, Guoquan Cao, Jiahuan Zhou, Ya Lin, Boyang Chen, Ke Nie, Gangze Fu, Min-Ying Su, Meihao Wang
Summary: The purpose of this study was to evaluate the volumetric change of COVID-19 lesions in the lung using serial CT imaging. A two-step registration method was developed to match the lung areas on baseline and follow-up images. The results showed a significant decrease in lesion volume over time, and the registration method effectively matched the lung areas and large vessels, assisting in the evaluation of longitudinal changes in COVID-19 lesions on chest CT.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Computer Science, Information Systems
Peng Xue, Yu Fu, Huizhong Ji, Wentao Cui, Enqing Dong
Summary: This study proposes a method of lung respiratory motion estimation based on fast Kalman filtering and 4D CT image registration, which can accurately and quickly estimate physiological respiratory motion. By combining two GPU-accelerated image registration methods and adopting a multi-level processing strategy, the method successfully predicts respiratory motion states.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Critical Care Medicine
Monica Tang, Brett M. Elicker, Travis Henry, David S. Gierada, Mark L. Schiebler, Brendan K. Huang, Michael C. Peters, Mario Castro, Eric A. Hoffman, Sean B. Fain, Samuel Y. Ash, Jiwoong Choi, Chase Hall, Brenda R. Phillips, David T. Mauger, Loren C. Denlinger, Nizar N. Jarjour, Elliot Israel, Wanda Phipatanakul, Bruce D. Levy, Sally E. Wenzel, Eugene R. Bleecker, Prescott G. Woodruff, John Fahy, Eleanor M. Dunican
Summary: This study found that mucus plugs can serve as a persistent phenotype of asthma, and both subjects and bronchopulmonary segments are susceptible to mucus plugs. The relationship between changes in mucus plug scores and changes in airflow over time supports the causal role of mucus plugs in mechanisms of airflow obstruction in asthma.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
(2022)
Article
Cardiac & Cardiovascular Systems
Francesca Polverino, Debra A. Stern, Eric M. Snyder, Courtney Wheatley-Guy, Surya P. Bhatt, Fernando D. Martinez, Stefano Guerra, Wayne J. Morgan
Summary: This study used CT scans to evaluate the relationship between childhood factors and lung structural changes in young adulthood. The research found that individuals who had experienced lower respiratory tract illnesses in childhood had increased air trapping at the age of 26, suggesting a connection between childhood infections and lung development.
RESPIRATORY MEDICINE
(2023)
Review
Biology
Hanguang Xiao, Xufeng Xue, Mi Zhu, Xin Jiang, Qingling Xia, Kai Chen, Huanqi Li, Li Long, Ke Peng
Summary: This review discusses the development and applications of lung image registration, with a focus on deep learning-based methods and their different supervision types. The review also provides a comprehensive analysis of evaluation metrics, loss functions, and publicly available datasets for lung image registration.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Computer Science, Interdisciplinary Applications
A. Lara-Hernandez, T. Rienmueller, I. Juarez, M. Perez, F. Reyna, D. Baumgartner, V. N. Makarenko, O. L. Bockeria, M. Maksudov, R. Rienmueller, C. Baumgartner
Summary: This article introduces a deep learning-based deformable image registration method for quantitative myocardial perfusion CT examinations in dynamic cardiac cycles. The method addresses unique challenges such as low image quality, inaccurate anatomical landmarks, dynamic changes in contrast agent concentration, and misalignment caused by cardiac stress, respiration, and patient motion. The proposed method reduces local tissue displacements of the left ventricle and demonstrates fast processing time compared to conventional methods, making it suitable for daily clinical routine.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Letter
Critical Care Medicine
Motahareh Vameghestahbanati, Grant T. Hiura, R. Graham Barr, Jessica C. Sieren, Benjamin M. Smith, Eric A. Hoffman
Article
Computer Science, Interdisciplinary Applications
Thao Thi Ho, Geun-Tae Kim, Taewoo Kim, Sanghun Choi, Eun-Kee Park
Summary: This study developed an automated classification method for rotator cuff tears and provided visualization of tear location using deep learning algorithms and ultrasound images. Among the five pre-trained models, DenseNet121 demonstrated the best classification performance, confirming the feasibility of using deep learning and ultrasound images to assist in diagnosing rotator cuff tears.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2022)
Article
Public, Environmental & Occupational Health
Elizabeth C. Oelsner, Akshaya Krishnaswamy, Pallavi P. Balte, Norrina Bai Allen, Tauqeer Ali, Pramod Anugu, Howard F. Andrews, Komal Arora, Alyssa Asaro, R. Graham Barr, Alain G. Bertoni, Jessica Bon, Rebekah Boyle, Arunee A. Chang, Grace Chen, Sean Coady, Shelley A. Cole, Josef Coresh, Elaine Cornell, Adolfo Correa, David Couper, Mary Cushman, Ryan T. Demmer, Mitchell S. Elkind, Aaron R. Folsom, Amanda M. Fretts, Kelley P. Gabriel, Linda C. Gallo, Jose Gutierrez, Mei Lan K. Han, Joel M. Henderson, Virginia J. Howard, Carmen R. Isasi, David R. Jacobs, Suzanne E. Judd, Debora Kamin Mukaz, Alka M. Kanaya, Namratha R. Kandula, Robert C. Kaplan, Gregory L. Kinney, Anna Kucharska-Newton, Joyce S. Lee, Cora E. Lewis, Deborah A. Levine, Emily B. Levitan, Bruce D. Levy, Barry J. Make, Kimberly Malloy, Jennifer J. Manly, Carolina Mendoza-Puccini, Katie A. Meyer, Yuan-I Nancy Min, Matthew R. Moll, Wendy C. Moore, David Mauger, Victor E. Ortega, Priya Palta, Monica M. Parker, Wanda Phipatanakul, Wendy S. Post, Lisa Postow, Bruce M. Psaty, Elizabeth A. Regan, Kimberly Ring, Veronique L. Roger, Jerome Rotter, Tatjana Rundek, Ralph L. Sacco, Michael Schembri, David A. Schwartz, Sudha Seshadri, James M. Shikany, Mario Sims, Karen D. Hinckley Stukovsky, Gregory A. Talavera, Russell P. Tracy, Jason G. Umans, Ramachandran S. Vasan, Karol E. Watson, Sally E. Wenzel, Karen Winters, Prescott G. Woodruff, Vanessa Xanthakis, Ying Zhang, Yiyi Zhang
Summary: The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study comprising 14 established US cohort studies that aims to evaluate risk factors and outcomes of COVID-19, as well as assess the long-term societal and behavioral impact of the pandemic on health trajectories.
AMERICAN JOURNAL OF EPIDEMIOLOGY
(2022)
Article
Respiratory System
John S. Kim, Jinhye Kim, Xiaorui Yin, Grant T. Hiura, Michaela R. Anderson, Eric A. Hoffman, Ganesh Raghu, Imre Noth, Ani Manichaikul, Stephen S. Rich, Benjamin M. Smith, Anna J. Podolanczuk, Christine Kim Garcia, R. Graham Barr, Martin R. Prince, Elizabeth C. Oelsner
Summary: The study found that hiatus hernia is associated with markers of lung inflammation and fibrosis, especially among MUC5B risk allele carriers. It also showed that hiatus hernia is associated with interstitial lung abnormalities in younger adults and an increase in serum matrix metalloproteinase-7 levels among smokers.
EUROPEAN RESPIRATORY JOURNAL
(2023)
Article
Critical Care Medicine
Brigid A. Adviento, Elizabeth A. Regan, Barry J. Make, MeiLan K. Han, Marilyn G. Foreman, Anand S. Iyer, Surya P. Bhatt, Victor Kim, Jessica Bon, Xavier Soler, Gregory L. Kinney, Nicola A. Hanania, Katherine E. Lowe, Kristen E. Holm, Abebaw M. Yohannes, Gen Shinozaki, Karin F. Hoth, Jess G. Fiedorowicz
Summary: Studies have shown that there is an increased suicide risk associated with COPD and smoking. However, there have been no prospective studies examining suicide risk among individuals with smoking exposure along a spectrum of pulmonary diseases.
Article
Biology
Thao Thi Ho, Woo Jin Kim, Chang Hyun Lee, Gong Yong Jin, Kum Ju Chae, Sanghun Choi
Summary: In this study, an unsupervised lung registration network (LRN) with cycle-consistent training is proposed to align CT lung images during breath-holds. The LRN model shows superior performance compared to VoxelMorph and SSTVD methods, with an average target registration error (TRE) of 1.78 +/- 1.56 mm. The displacement vector field estimation of LRN also takes less than 2 seconds, demonstrating its potential for use in time-sensitive pulmonary studies.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Letter
Respiratory System
Motahareh Vameghestahbanati, Coralynn Sack, Artur Wysoczanski, Eric A. Hoffman, Elsa Angelini, Norrina B. Allen, Alain G. Bertoni, Junfeng Guo, David R. Jacobs Jr, Joel D. Kaufman, Andrew Laine, Ching-Long Lin, Daniel Malinsky, Erin D. Michos, Elizabeth C. Oelsner, Steven J. Shea, Karol E. Watson, Andrea Benedetti, R. Graham Barr, Benjamin M. Smith
EUROPEAN RESPIRATORY JOURNAL
(2023)
Article
Thermodynamics
Munho Kim, Sanghun Choi
Summary: This study simulated the condensation-induced water hammer (CIWH) phenomenon in a realistic steam pipe and analyzed its characteristics in horizontal and vertical pipe sections. The study also explored the effects of key parameter changes on mitigating CIWH.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Allergy
Brandy M. Byrwa-Hill, Tricia L. Morphew, Albert A. Presto, James P. Fabisiak, Sally E. Wenzel
Summary: Living in an environmentally just tract increases the likelihood of severe and uncontrolled asthma, which is influenced by age at onset, disease duration, and traffic-related air pollution.
JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY
(2023)
Review
Physiology
Hannah H. Covert, Firoz Abdoel Wahid, Sally E. Wenzel, Maureen Y. Lichtveld
Summary: Anthropogenic climate change has a negative impact on human health, particularly respiratory health. This article examines the effects of climate change on respiratory health risks, including heat, wildfires, pollen, extreme weather events, and viruses. The intersection of exposure and vulnerability, influenced by social determinants of health, determines the risk of adverse health outcomes. The authors call for a transdisciplinary approach to accelerate research, practice, and policy development for respiratory health in the context of climate change.
PHYSIOLOGICAL REVIEWS
(2023)
Review
Engineering, Aerospace
Fay Ghani, Irene Cheung, Anthony Phillips, Merryn Tawhai, Edward Ashworth
Summary: This systematic review examines the effects of microgravity on lung function in humans. The results indicate that there is no significant change in lung volume and capacity during long-duration spaceflight, and only slight or no changes during parabolic and short-duration spaceflight. Additionally, no consistent effects on lung shape in microgravity compared to normal Earth gravity were observed.
Article
Engineering, Biomedical
Mitchell I. Page, Ruanui Nicholson, Merryn H. Tawhai, Alys R. Clark, Haribalan Kumar
Summary: This study developed a statistical shape model (SSM) to enhance the accuracy and reliability of electrical impedance tomography (EIT) reconstruction of lung ventilation. However, using patient-specific structural information did not show conclusive improvement. This research bears significance in the field of ventilation monitoring using EIT.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Mechanics
Hao Jing, Haiwen Ge, Li Wang, Qizhi Zhou, Liang Chen, Sanghun Choi, Xinguang Cui
Summary: Studying airflow characteristics in the human respiratory system is crucial for understanding aerosol transport and deposition. This study utilized a whole-lung airway model to investigate airflow fields and flow unsteadiness. The findings reveal that secondary flow and airflow unsteadiness in the thin bronchial airway are stronger than previously reported, emphasizing the importance of further research in this area using suitable models.
Article
Respiratory System
John S. Kim, Ali Azarbarzin, Anna J. Podolanczuk, Michaela R. Anderson, Brian E. Cade, Steven M. Kawut, Artur Wysoczanski, Andrew F. Laine, Eric A. Hoffman, Daniel J. Gottlieb, Christine Kim Garcia, R. Graham Barr, Susan Redline
Summary: This study aimed to investigate the association between obstructive sleep apnea (OSA) and interstitial lung disease (ILD) as well as its impact on lung function. The results showed that OSA severity was associated with an increase in high-attenuation areas (HAAs) and a decline in lung volumes over time, indicating OSA may be a contributing factor in the early stages of ILD.
ANNALS OF THE AMERICAN THORACIC SOCIETY
(2023)
Article
Respiratory System
Connie C. W. Hsia, Jason H. T. Bates, Bastiaan Driehuys, Sean B. Fain, Jonathan G. Goldin, Eric A. Hoffman, James C. Hogg, David L. Levin, David A. Lynch, Matthias Ochs, Grace Parraga, G. Kim Prisk, Benjamin M. Smith, Merryn Tawhai, Marcos F. Vidal Melo, Jason C. Woods, Susan R. Hopkins
Summary: Multiple thoracic imaging modalities have been developed to link structure to function in the diagnosis and monitoring of lung disease. These modalities include volumetric computed tomography (CT), positron emission tomography (PET), and magnetic resonance imaging (MRI) using ultrashort-echo time (UTE) sequences. These imaging techniques provide valuable information on lung structures, dynamic physiological data, and airway function. The use of quantitative imaging (QI)-derived endpoints and computational modeling is emphasized for unbiased quantification, accurate metric derivation, and interpretation of in vivo imaging data.
ANNALS OF THE AMERICAN THORACIC SOCIETY
(2023)