Libertario Demi

Libertario Demi
Università degli Studi di Trento | UNITN · Information Engineering and Computer Science

Associate Professor

About

169
Publications
32,618
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
2,893
Citations
Introduction
He is an Associate Professor with the Dept. of Information Engineering and Computer Science, University of Trento, Founder and the Head of ULTRa (Ultrasound Lab Trento). He has active interests in lung ultrasound technology, including beamforming, image analysis, physics modeling, and clinical studies. Prof. Demi is the Biomedical Acoustics Technical Program Organizer for the Meetings of the Acoustical Society of America and a member of the Medical Ultrasonics Technical Committee for IEEE IUS.
Additional affiliations
April 2021 - present
Università degli Studi di Trento
Position
  • Professor (Associate)
September 2018 - April 2021
Università degli Studi di Trento
Position
  • Professor (Assistant)
Description
  • Right now, I am an Assistant Professor at the University of Trento, Department of Information Engineering and Computer Science, and Head of ULTRa (Ultrasound Laboratory Trento).
September 2018 - present
Università degli Studi di Trento
Position
  • Lecturer
Description
  • The physics of ultrasound generation and propagation, modeling, and nonlinear acoustics, probe design, system architecture of ultrasound scanners, image formation and beam forming, and emerging medical applications (lung ultrasonography).
Education
June 2008 - June 2012
Delft University of Technology
Field of study
  • Modeling nonlinear ultrasound
September 2002 - February 2008
Università di Pisa
Field of study
  • Telecommunication Engineering

Publications

Publications (169)
Article
Full-text available
Growing evidences are showing the usefulness of lung ultrasound in patients with COVID‐19. Sars‐CoV‐2 has now spread in almost every country in the world. In this study, we share our experience and propose a standardized approach in order to optimize the use of lung ultrasound in covid‐19 patients. We focus on equipment, procedure, classification a...
Article
Full-text available
Deep learning (DL) has proved successful in medical imaging and, in the wake of the recent COVID-19 pandemic, some works have started to investigate DL-based solutions for the assisted diagnosis of lung diseases. While existing works focus on CT scans, this paper studies the application of DL techniques for the analysis of lung ultrasonography (LUS...
Article
In standard B mode imaging a set of ultrasound pulses are used to reconstruct a two-dimensional image even though some of the assumptions needed to do this are not fully satisfied. For this reason, ultrasound medical images show numerous artefacts which physicians recognize and evaluate as part of their diagnosis since even one artefact can provide...
Article
Lung ultrasound (LUS) is nowadays gaining growing attention from both the clinical and technical world. Of particular interest are several imaging-artifacts, e.g., A- and B- line artifacts. While A-lines are a visual pattern which essentially represent a healthy lung surface, B-line artifacts correlate with a wide range of pathological conditions a...
Article
Higher frame rates are very useful for improving medical diagnosis in fast-moving parts of the heart, especially in the valves. To this end, we propose a non-polynomial interpolation method for increasing the frame rate in echocardiography. Besides describing the proposed method, we present two additional contributions: (1) we obtain a closed-form...
Article
Full-text available
Objectives: Lung ultrasound (LUS) has sparked significant interest during COVID-19. LUS is based on the detection and analysis of imaging patterns. Vertical artifacts and consolidations are some of the recognized patterns in COVID-19. However, the interrater reliability (IRR) of these findings has not been yet thoroughly investigated. The goal of...
Article
Lung ultrasound (LUS) is currently utilized worldwide to assess COVID-19 patients. However, imaging protocols are often defined arbitrarily, and studies on post-COVID-19 are lacking. In this work, we report on the capabilities of standardized LUS to monitor and stratify COVID-19 and post-COVID-19 patients. A validated and standardized imaging proto...
Article
In the current pandemic, being able to efficiently stratify patients depending on their probability to develop a severe form of COVID-19 can improve the outcome of treatments and optimize the use of the available resources. To this end, recent studies proposed to use deep-networks to perform automatic stratification of COVID-19 patients based on lu...
Article
Lung ultrasound (LUS) is nowadays widely applied for lung surface evaluation. In particular, LUS is often based on the analysis of vertical artifacts, which correlate with various pathologies but whose genesis is not fully comprehended yet. To better understand the phenomena causing these artifacts' appearance, numerical simulations can represent a...
Article
With the outbreak of the COVID-19 pandemic, remote diagnosis, patient monitoring, collection, and transmission of health data from electronic devices are rapidly taking its share in the health sector. These devices are, however, limited on resources like energy, memory, and processing power. Consequently, it is highly relevant to investigate how to...
Article
The application of Lung Ultrasound (LUS) imaging for the diagnosis of lung diseases has recently captured significant interest within the research community. With the ongoing COVID-19 pandemic, many efforts have been made to evaluate LUS data. A four-level scoring system has been introduced to semi-quantitatively assess the state of the lung, class...
Preprint
div>Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the diagnosis of late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies. A common challenge in training such models is that annotating each frame of an ultrasound video requires high...
Preprint
div>Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the diagnosis of late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies. A common challenge in training such models is that annotating each frame of an ultrasound video requires high...
Preprint
div>Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the diagnosis of late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies. A common challenge in training such models is that annotating each frame of an ultrasound video requires high...
Article
Full-text available
Objectives Worldwide, lung ultrasound (LUS) was utilized to assess coronavirus disease 2019 (COVID-19) patients. Often, imaging protocols were however defined arbitrarily and not following an evidence-based approach. Moreover, extensive studies on LUS in post-COVID-19 patients are currently lacking. This study analyses the impact of different LUS i...
Article
Lung ultrasound (LUS) is nowadays widely adopted by clinicians to evaluate the state of the lung surface. However, being mainly based on the evaluation of vertical artifacts, whose genesis is still unclear, LUS is affected by qualitative and subjective analyses. Even though semi-quantitative approaches supported by computer aided methods can reduce...
Article
Ultrasound in point-of-care lung assessment is becoming increasingly relevant. This is further reinforced in the context of the COVID-19 pandemic, where rapid decisions on the lung state must be made for staging and monitoring purposes. The lung structural changes due to severe COVID-19 modify the way ultrasound propagates in the parenchyma. This i...
Article
The potential of lung ultrasound (LUS) has become manifest in the light of the recent COVID-19 pandemic. The need for a point-of care, quantitative, and widely available assessment of lung condition is critical. However, conventional ultrasound imaging was never designed for lung assessment. This limits LUS to the subjective and qualitative interpr...
Article
Full-text available
Lung ultrasound (LUS) is a cheap, safe and non-invasive imaging modality that can be performed at patient bed-side. However, to date LUS is not widely adopted due to lack of trained personnel required for interpreting the acquired LUS frames. In this work we propose a framework for training deep artificial neural networks for interpreting LUS, whic...
Article
Although there is increasing interest in the use of plane waves (PW) in high-frame-rate imaging, not much experimental data is available about their behavior in terms of nonlinear propagation. This paper presents a detailed study of fundamental and harmonic components of the ultrasound beam associated to PW transmission from a linear array. Simulat...
Article
Full-text available
In the current pandemic, lung ultrasound (LUS) played a useful role in evaluating patients affected by COVID-19. However, LUS remains limited to the visual inspection of ultrasound data, thus negatively affecting the reliability and reproducibility of the findings. Moreover, many different imaging protocols have been proposed, most of which lacked...
Article
Lung ultrasound (LUS) has become a widely adopted diagnostic method for several lung diseases. However, the presence of air inside the lung does not allow the anatomical investigation of the organ. Therefore, LUS is mainly based on the interpretation of vertical imaging artifacts, called B-lines. These artifacts correlate with several pathologies,...
Article
Lung ultrasound (LUS) imaging as a point-of-care diagnostic tool for lung pathologies has been proven superior to X-ray and comparable to CT, enabling earlier and more accurate diagnosis in real-time at the patient’s bedside. The main limitation to widespread use is its dependence on the operator training and experience. COVID-19 lung ultrasound fi...
Preprint
Full-text available
Lung ultrasound (LUS) is a cheap, safe and non-invasive imaging modality that can be performed at patient bedside. However, to date LUS is not widely adopted due to lack of trained personnel required for interpreting the acquired LUS frames. In this work we propose a framework for training deep artificial neural networks for interpreting LUS, which...
Article
In the wake of the novel coronavirus (COVID-19) pandemic, the world has been engaged in a protracted battle against a deadly infectious disease. As of October 2020, the COVID-19 virus has struck over 37 million people globally and has taken over 1 million lives. Since the onset of the COVID-19 outbreak, ultrasound imaging has played a major role in...
Article
Lung ultrasound (LUS) is a rapidly evolving field of application for ultrasound technologies. Especially during the current pandemic, many clinicians around the world have employed LUS to assess the condition of the lung for patients suspected and/or affected by COVID-19. However, LUS is currently performed with standard ultrasound imaging, which i...
Article
Full-text available
Objectives: The 2019 novel coronavirus (severe acute respiratory syndrome coronavirus 2) is causing cases of severe pneumonia. Lung ultrasound (LUS) could be a useful tool for physicians detecting a bilateral heterogeneous patchy distribution of pathologic findings in a symptomatic suggestive context. The aim of this study was to focus on the impli...
Article
The clinical relevance of lung ultrasonography (LUS) has been rapidly growing since the 1990s. However, LUS is mainly based on the evaluation of visual artifacts (also called B-lines), leading to subjective and qualitative diagnoses. The formation of B-lines remains unknown and, hence, researchers need to study their origin to allow clinicians to q...
Article
Lung ultrasound imaging is a fast-evolving field of application for ultrasound technologies. However, most diagnoses are currently performed with imaging protocols that assume a quasi-homogeneous speed of sound in the volume of interest. When applied to the lung, due to the presence of air, this assumption is unrealistic. Consequently, diagnoses ar...
Article
The application of ultrasound imaging to the diagnosis of lung diseases is nowadays receiving growing interest. However, Lung Ultrasound (LUS) is mainly limited to the analysis of imaging artifacts, such as B-lines, which correlate with a wide variety of diseases. Therefore, the results of LUS investigations remain qualitative and subjective, and s...
Article
Full-text available
COVID-19 pandemic is representing a serious challenge to worldwide public health. Lung Ultrasonography (LUS) has been signaled as a potential useful tool in this pandemic contest either to intercept viral pneumonia or to foster alternative paths. LUS could be useful in determining early lung involvement suggestive or not of COVID-19 pneumonia and p...
Article
Recent works highlighted the significant potential of Lung Ultrasound (LUS) imaging in the management of subjects affected by COVID-19. In general, the development of objective, fast, and accurate automatic methods for LUS data evaluation is still at an early stage. This is particularly true for COVID- 19 diagnostic. In this paper, we propose an au...
Article
Full-text available
Coronavirus disease 2019 (COVID‐19) represents a very heterogeneous disease. Some aspects of COVID‐19 pneumonia question the real nature of ground glass opacities and its consolidative lesions. It has been hypothesized that COVID‐19 lung involvement could represent not only a viral effect but also an immune response induced by the infection, causin...
Article
Full-text available
Lung ultrasound examination has been demonstrated to be an accurate imaging method to detect pulmonary and pleural conditions. During pregnancy, there is a need for a rapid assessment of the maternal lung in patients suspected to have COVID-19. We report our experience on lung ultrasound examination in the diagnosis of Sars-Cov-2 pneumonia in a pre...
Article
Full-text available
Under specific circumstances, such as during the current COVID‐19 outbreak, pregnant women can be a target for respiratory infection, and lung examination may be required as part of their clinical evaluation, ideally avoiding exposure to radiation. We propose a practical approach for obstetricians/gynecologists to perform lung ultrasound, showing p...
Article
Full-text available
Lung ultrasonography (LUS) provides an estimation of peripheral airspace (PAS) geometry of the lung. Altered PAS produces sonographic interstitial syndrome (SIS). Idiopathic pulmonary fibrosis (IPF) involves peripheral lung with altered PAS. The aim of the study is to correlate echographic patterns with peripheral fibrotic changes on high-resolutio...
Article
Full-text available
When inspecting the lung with standard ultrasound B-mode imaging, numerous artifacts can be visualized. These artifacts are useful to recognize and evaluate several pathological conditions in Emergency and Intensive Care Medicine. More recently, the interest of the Pulmonologists has turned to the echographic study of the interstitial pathology of...
Article
Full-text available
Lung ultrasound (LUS) is a growing and fascinating field of application for ultrasound imaging. Despite the difficulties in imaging an organ largely filled with air, the potential benefits originating from an effective ultrasound method focusing on monitoring and diagnosing lung diseases represent a tremendous stimulus for research in this directio...
Conference Paper
Multi line transmission (MLT) and orthogonal frequency division multiplexing (OFDM) are two types of approaches which have been individually applied to increase the ultrasound data acquisition rate. Only recently these two techniques have been combined in the search for an additional improvement of the data-acquisition rate. While MLT essentially r...
Article
No PDF available ABSTRACT Multi-line transmission (MLT) and orthogonal frequency division multiplexing (OFDM) are two types of approaches which have been individually applied to increase ultrasound data acquisition rate. Both consist in the simultaneous transmission of several beams to reconstruct multiple image lines at the same time, which, howev...
Chapter
Lung ultrasound imaging is nowadays receiving growing attention. In fact, the analysis of specific artefactual patterns reveals important diagnostic information. A- and B-line artifacts are particularly important. A-lines are generally considered a sign of a healthy lung, while B-line artifacts correlate with a large variety of pathological conditi...
Article
The application of ultrasound imaging to the diagnosis and monitoring of the lung condition is nowadays receiving growing attention from both the clinical and technical world. The advantages of ultrasound are in fact numerous when compared to other imaging modalities such as CT: availability at patient site, low cost, real time, and safety. However...
Article
The application of ultrasound imaging to the diagnosis of lung diseases is gaining attention. Of particular interest are several imaging-artifacts, e.g., A and B line artifacts. A-lines are hyperechoic horizontal lines, which are substantially visualized across the entire image and parallel to pleural-line. They represent the normal pattern of the...
Article
Full-text available
Introduction: Thoracic ultrasound is employed for the diagnosis of many thoracic diseases and is an accepted detection tool of pleural effusions, atelectasis, pneumothorax and pneumonia. However, the use of ultrasound for the evaluation of parenchymal lung disease, when the organ is still aerated, is a relatively new application. Areas covered: The...
Conference Paper
Full-text available
In standard B mode imaging a probe transmits brief pulses and receives the echoes reflected by every structure of the explored medium. A set of consecutive pulses are used to reconstruct a two-dimensional image even though some of the assumptions needed to do this are not completely satisfied. Consequently, numerous visual artefacts are present in...
Article
Full-text available
Diffusion tensor tractography (DTT) enables visualization of fiber trajectories in soft tissue using magnetic resonance imaging. DTT exploits the anisotropic nature of water diffusion in fibrous structures to identify diffusion pathways by generating streamlines based on the principal diffusion vector. Anomalies in these pathways can be linked to n...
Article
Full-text available
Starting from key ultrasound imaging features such as spatial and temporal resolution, contrast, penetration depth, array aperture, and field-of-view (FOV) size, the reader will be guided through the pros and cons of the main ultrasound beam-forming techniques. The technicalities and the rationality behind the different driving schemes and reconstr...
Article
Full-text available
Nowadays, lung pathologies are mainly diagnosed by X-ray imaging, with the golden-standard being computed tomography (CT). However, CT is not available at patients’ bed, not always accessible, and expensive. Additionally, CT delivers a relatively high radiation-dose, with the risk of an increased possibility to develop cancer. Recently, attention i...
Article
The application of ultrasound imaging to the diagnosis of lung diseases is gaining attention. Of particular interest are several imaging-artifacts, e.g., A and B line artifacts. A-lines are hyperechoic horizontal lines, which are substantially visualized across the entire image and parallel to pleural-line. They represent the normal pattern of the...
Article
In standard B mode imaging, a probe transmits brief pulses and receives the echoes reflected by every structure of the explored medium. A set of consecutive pulses are used to reconstruct a two-dimensional image even though some of the assumptions needed to do this are not exactly satisfied. Consequently, numerous visual artefacts are present in ul...