Comparison of accuracy and density of static and mobile laser scanners

We test the accuracy and density of mobile lidar-based scanners and compare them with the performance of a static scanner. This is achieved by systematically scanning a rectangular target at a growing distance, collating the statistics of the scans and comparing them. This study shows that the accuracy of the scans outputted by the static scanner is about 20 times better at 5 meters than those produced by the mobile devices and this gap further increases along with the distance. The density, measured in points per second, drops along with the distance for all the tested devices, with mobile scanners outperforming their static counterparts.I will apply for funding from the Engineering Department or from my College (to be decided very soon)

ConSLAM: Periodically Collected Real-World Construction Dataset for SLAM

International audienc

The influence of severe mitral regurgitation on major adverse cardiac and cerebrovascular events after myocardial infarction in 1-year follow-up: Data from PL-ACS registry

Background: Mitral regurgitation (MR) is frequently observed in patients with myocardial infarction (MI). However, the incidence of severe MR in contemporary population is unknown. Aims: The study evaluates the prevalence and prognostic impact of severe MR in contemporary population of patients with ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI). Methods: The study group consists of 8062 patients enrolled in the Polish Registry of Acute Coronary Syndromes over the years 2017‒2019. Only the patients with full echocardiography performed during the index hospitalization were eligible. Primary composite outcome was 12-month major adverse cardiac and cerebrovascular events (MACCE) (death, non-fatal MI, stroke and heart failure [HF] hospitalization) compared between patients with and without severe MR. Results: 5561 NSTEMI patients and 2501 STEMI patients were enrolled into the study. Severe MR occurred in 66 (1.19%) NSTEMI patients and 30 (1.19%) STEMI patients. Multivariable regression models revealed that severe MR is an independent risk factor of all-cause death in 12-month observation (odds ratio [OR], 1.839; 95% confidence interval [CI], 1.012‒3.343; P = 0.046) in all MI patients. Patients with NSTEMI and severe MR had higher mortality (22.7% vs. 7.1%), HF rehospitalization rate (39.4% vs. 12.9%) and MACCE occurrence (54.5% vs. 29.3%). Severe MR was associated with higher mortality (20% vs. 6%) and higher HF rehospitalization (30% vs. 9.8%), stroke (10% vs. 0.8%) and MACCE rates (50% vs. 23.1%) in STEMI patients. Conclusions: Severe MR is associated with higher mortality and MACCE occurrence in patients with MI in 12-month follow-up. Severe MR is an independent risk factor of all-cause death

Stepwise relationship between delay to percutaneous coronary intervention and long-term mortality in patients with non-ST-segment elevation myocardial infarction

Background: Current guidelines recommend coronary catheterization in patients with non-ST-segment elevation myocardial infarction (NSTEMI) within 24 hours of hospital admission. However, whether there is a stepwise relationship between the time to percutaneous coronary intervention (PCI) and long-term mortality in patients with NSTEMI treated invasively within 24 hours of admission has not been established yet. Aims: The study aimed to evaluate the association between the door-to-PCI time and all-cause mortality at 12 and 36 months in patients with NSTEMI, presenting directly to the PCI-capable center, who underwent PCI within the first 24 hours of hospitalization. Methods: We analyzed data of patients hospitalized for NSTEMI between 2007–2019, included in the nationwide registry of acute coronary syndromes. Patients were stratified into twelve groups based on 2-hour intervals of door-to-PCI time. The mortality rates of patients within those groups were adjusted for 33 confounding variables by propensity score weighting method using overlap weights. Results: A total of 37 589 patients were included in the study. The median age of included patients was 66.7 (interquartile range [IQR], 59.0–75.8) years, 66.7% were male, and the median GRACE Score was 115 (98–133). There were increasing 12-month and 36-month mortality rates in consecutive groups of patients stratified by 2-hour door-to-PCI time intervals. After adjustment for patient characteristics, there was a significant positive correlation between the time to PCI and mortality rates (rs = 0.61; P = 0.04 and rs = 0.65; P = 0.02 for 12-month and  36-month mortality, respectively). Conclusions: The longer the door-to-PCI time, the higher were 12-month and 36-month all-cause mortality rates in NSTEMI patients

Dyslipidemia treatment and attainment of LDL-cholesterol treatment goals in patients participating in the Managed Care for Acute Myocardial Infarction Survivors program

BACKGROUND: Patients after acute myocardial infarction (AMI) are at very high cardiovascular (CV) risk. Therefore, appropriate management of dyslipidemia with adequate lipid-lowering therapy is crucial for preventing subsequent CV events in these patients. AIMS: Our analysis aimed to assess the treatment of dyslipidemia and the attainment of low-density lipoprotein (LDL) -cholesterol treatment goals in patients after AMI who participated in the Managed Care for Acute Myocardial Infarction Survivors (MACAMIS) program. METHODS: This study is a retrospective analysis of consecutive patients with AMI who agreed to participate and completed the 12-month MACAMIS program at one of three tertiary referral cardiovascular centers in Poland between October 2017 and January 2021. RESULTS: 1499 patients after AMI were enrolled in the study. High-intensity statin therapy was prescribed to 85.5% of analyzed patients at hospital discharge. Combined therapy with high-intensity statin and ezetimibe increased from 2.1% at hospital discharge to 18.2% after 12 months. In the whole study cohort, 20.4% of patients achieved the LDL-C target of CONCLUSIONS: Our analysis suggests that participation in the managed care program might be associated with improved quality of dyslipidemia management in AMI patients. Nonetheless, only one-fifth of patients who completed the program achieved the treatment goal for LDL-C. This highlights the constant need for optimizing lipid-lowering therapy to meet treatment targets and to reduce CV risk in patients after AMI

Out-of-hospital cardiac arrest: Do we have to perform coronary angiography?

Out-of-hospital cardiac arrest (OHCA) remains a leading cause of global mortality, while survivors are burdened with long-term neurological and cardiovascular complications. OHCA management at the hospital level remains challenging, due to heterogeneity of OHCA presentation, the critical status of OHCA patients reaching the return of spontaneous circulation (ROSC), and the demands of post ROSC treatment. The validity and optimal timing for coronary angiography is one important, yet not fully defined, component of OHCA management. Guidelines state clear recommendations for coronary angiography in OHCA patients with shockable rhythms, cardiogenic shock, or in patients with ST-segment elevation observed in electrocardiography after ROSC. However, there is no established consensus on the angiographic management in other clinical settings. While coronary angiography may accelerate the diagnostic and therapeutic process (provided OHCA was a consequence of coronary artery disease), it might come at the cost of impaired post-resuscitation care quality due to postponing of intensive care management. The aim of the current statement paper is to discuss clinical strategies for the management of OHCA including the stratification to invasive procedures and the rationale behind the risk-benefit ratio of coronary angiography, especially with patients in critical condition

Production of He-4 and (4) in Pb-Pb collisions at root(NN)-N-S=2.76 TeV at the LHC

Results on the production of He-4 and (4) nuclei in Pb-Pb collisions at root(NN)-N-S = 2.76 TeV in the rapidity range vertical bar y vertical bar <1, using the ALICE detector, are presented in this paper. The rapidity densities corresponding to 0-10% central events are found to be dN/dy4(He) = (0.8 +/- 0.4 (stat) +/- 0.3 (syst)) x 10(-6) and dN/dy4 = (1.1 +/- 0.4 (stat) +/- 0.2 (syst)) x 10(-6), respectively. This is in agreement with the statistical thermal model expectation assuming the same chemical freeze-out temperature (T-chem = 156 MeV) as for light hadrons. The measured ratio of (4)/He-4 is 1.4 +/- 0.8 (stat) +/- 0.5 (syst). (C) 2018 Published by Elsevier B.V.Peer reviewe

Precise and dense AI-based mobile 3D reconstruction of indoor scenes by camera-lidar fusion and odometry

We propose a mobile 3D reconstruction method for improving the precision and density of point clouds. It is suitable for hand-held scanners comprised of a colour camera and a lidar. We fuse time-synchronized and spatially registered images and lidar sweeps using deep learning techniques into dense scans, which are then used for progressive reconstruction in an odometry-like manner. We build a prototypic scanner and test our method in an indoor case-study. The results show that our pipeline outperforms reconstructions by other devices and methods, yielding relatively denser and detail-preserving point clouds with a 46% reduction in noise of reconstructed planar surfaces

Reducing spatial error in mobile laser scanning by real-time uncertainty visualization and human-machine interaction

Scanning is a key element for many applications in the AECO industry. It provides point clouds used for construction quality assurance, scan-to-BIM workflows and construction surveys. However, data acquisition using static laser scanners or photogrammetry methods is lengthy and requires even lengthier subsequent processing. A quick and apparent escape from this problem might be mobile mapping solutions mainly based on lidars. However, current hand-held scanners suffer from drift, skewing point clouds and thus, increasing their spatial error. In this paper, we present a novel, real-time and fully explainable method exploiting human-machine interaction to increase the correctness of produced point clouds. Our method progressively reconstructs the scanned scene and predicts the regions of a potentially high error with a 95% confidence level. The user can then revisit these parts of the scene, which adds additional constraints on the underlying probabilistic graphical model, thus reducing the drift and increasing the confidence in the correctness of these regions. We build a prototypic lidar-based mobile scanner, implement our method and test it in a case study. The results show that the areas identified with a relatively high spatial error indeed suffer from it, while predicted areas with relatively higher correctness do have a smaller spatial error.BP, GeoSLAM, Laing O'Rourke, Topcon, Trimbl

Is Atopic Dermatitis Only a Skin Disease?

Atopic dermatitis (AD) is a chronic, pruritic, inflammatory dermatosis that imposes significant patient and population burdens. In addition to the cutaneous signs and symptoms, growing evidence suggests that AD is systemic in nature. Certain diseases can possibly co-occur with AD as a result of coincidental exposure to similar environmental factors. However, it is also suspected that they are linked to the pathogenesis of AD through more complex genetic and immunological mechanisms, but these correlations remain less understood. It is of great need to seek explanations for the higher frequency of the number of cardiovascular, autoimmune, neurological, psychiatric, and metabolic disorders that have been observed in epidemiologic investigations among AD patients. Moreover, analysing the immunology of chronic inflammation and its correction, activation, or suppression may prevent the development of a variety of comorbidities. As comorbid diseases in patients diagnosed with AD may potentially go undetected, physicians should be aware of them