574 research outputs found
Costruzioni relative al cerchio
Costruzioni relative al cerchio: costruzione del cerchio date tre condizioni (problema di Apollonio); cerchio per tre punti distinti e non allineati; cerchi che passano per due punti e sono tangenti a una retta; cerchi che passano per un punto e sono tangenti a due rette date; cerchi tangenti a tre rette date; cerchi che passano per due punti e sono tangenti a una circonferenza; cerchi per un punto dato, tangenti a una retta e a una circonferenza pure assegnate; cerchi per un punto dato, tangenti a due circonferenze pure assegnate; cerchi tangenti a due rette date e a una circonferenza pure assegnata; cerchi tangenti a una retta data e a due circonferenze, pure assegnate; cerchi tangenti a tre circonferenze date; costruzione del cerchio inscritto in un triangolo; costruzione del cerchio circoscritto a un triangolo; costruzione della retta p polare del punto P rispetto al cerchio; costruzione del punto P detto polo della retta p rispetto al cerchio; costruzione del triangolo polare rispetto a un cerchio; costruzione del parallelogrammo inscritto nel cerchio, del parallelogrammo circoscritto al cerchio e di due suoi diametri coniugati; costruzione dell’ellisse dati una coppia di diametri coniugati; costruzione di un esagono semplice inscritto e circoscritto a un cerchio e rispettivamente della retta r di Pascal e del punto P di Brianchon; costruzione di un pentagono semplice inscritto in un cerchio, di un pentagono semplice circoscritto a un cerchio e loro proprietà proiettive; costruzione di un quadrangolo semplice inscritto in un cerchio, di un quadrangolo semplice circoscritto a un cerchio e loro proprietà proiettive; costruzione del triangolo semplice inscritto in un cerchio, di un triangolo semplice circoscritto a un cerchio e loro proprietà proiettive; costruzione della conica per cinque punti dati; costruzione della conica per cinque tangenti; costruzione della conica per quattro punti e la tangente in uno di essi; costruzione della conica per quattro tangenti e il punto di contatto in una di esse; dati cinque punti di una conica trovare un altro punto della conica; costruzione della conica dati due fasci prospettivi
Augmenting mobile C-arm fluoroscopes via stereo-RGBD sensors for multimodal visualization
Fusing intraoperative X-ray data with real-time video in a common reference frame is not trivial since both modalities have to be acquired from the same viewpoint. The goal of this work is to design a flexible system comprising two RGBD sensors that can be attached to any mobile C-arm, with the objective of synthesizing projective color images from the X-ray source viewpoint. To achieve this, we calibrate the RGBD sensors to the X-ray source with a 3D calibration object. Then, we synthesize the projective color image from the X-ray viewpoint by applying a volumetric-based rendering method. Finally, the X-ray image is overlaid on the projective image without any further registration, offering a multimodal visualization of X-ray and color images. In this paper we present the different steps of development (i.e. hardware setup, calibration and rendering algorithm) and discuss clinical applications for the new video augmented C-arm. By placing X-ray markers on a hand patient and a spine model, we show that the overlay accuracy between the X-ray image and the synthetized image is in average 1.7 mm
THE RELIEF PERSPECTIVE OF THE AVILA CHAPEL IN SANTA MARIA IN TRESTEVERE
This paper describes the projective transformations of the relief perspective of Avila
Chapel in Santa Maria in Trastevere in Rome. The little Chapel was designed by Antonio Gherardi
and commissioned by Pietro Paolo Avila in 1678. The research is structured according to the
following steps. The Survey Model: acquisition of morphological metric data by means of 3D laser
scanning and structure from motion procedures and subsequent elaboration of a Survey Model which
is a mathematical representation of the current state of the architectural object. The Relief Perspective
Camera and the Projective Transformations: experimentation with the ‘perspective camera’ defined
by generative digital representation. The Camera is used to study the relations between the projective
space and the affine space and vice-versa. Thus we can apply inverse transformations to the Survey
Model in order to trace the ideal position of the projection centre. The Ideal Model: construction of
the Ideal Model of the illusory architecture conceived by the author and based on the proportions and
interpretation of the Survey Model transformed by the Perspective Camera. Transformation of the
Ideal Model through the perspective camera and comparison with the Survey Model. History of
perspective shows that there is a close connection between the theoretical evolution of relief
perspective (intended as science) and its application to art, stage design and architecture. Reviewing
this evolution means studying the relationship between space as it is and space as it look
Parametric Design of Applied Origami with a Synthetic Computational Approach
In this paper, we present a series of case studies of origami-like geometries modelled and animated following the principles of the synthetic method applied through parametric modelling applications. The aim of this research is to analyze the benefits and criticalities of the proposed method in the field of applied origami design. The presented method will be compared with the algebraic-based analytical approach highlighting the strengths and weaknesses of both methods. This paper is based on the PhD thesis of the last Author and we present a selection of the most interesting generative algorithms we have studied and designed
Acquiring Multiview C-Arm Images to Assist Cardiac Ablation Procedures
CARTO XP is an electroanatomical cardiac mapping system that provides 3D color-coded maps of the electrical activity of the heart; however it is expensive and it can only use a single costly magnetic catheter for each patient intervention. Our approach consists of integrating fluoroscopic and electrical data from the RF catheters into the same image so as to better guide RF ablation, shorten the duration of this procedure, increase its efficacy, and decrease hospital cost when compared to CARTO XP. We propose a method that relies on multi-view C-arm fluoroscopy image acquisition for (1) the 3D reconstruction of the anatomical structure of interest, (2) the robust temporal tracking of the tip-electrode of a mapping catheter between the diastolic and systolic phases and (3) the 2D/3D registration of color coded isochronal maps directly on the 2D fluoroscopy image that would help the clinician guide the ablation procedure much more effectively. The method has been tested on canine experimental data.</p
Towards Prescriptive Analytics Systems in Healthcare Delivery: AI-Transformation to Improve High Volume Operating Rooms Throughput
The increasing demand for healthcare services, coupled with the challenges of managing budgets and navigating complex regulations, has underscored the need for sustainable and efficient healthcare delivery. In response to this pressing issue, this thesis aims to optimize hospital efficiency using Artificial Intelligence (AI) techniques. The focus extends beyond improving surgical intraoperative time to encompass preoperative and postoperative periods as well.
The research presents a novel Prescriptive Analytics System (PAS) designed to enhance the Surgical Success Rate (SSR) in surgeries and specifically in high volume arthroplasty. The SSR is a critical metric that reflects the successful completion of 4-surgeries during an 8-hour timeframe. By leveraging AI, the developed PAS has the potential to significantly improve the SSR from its current rate of 39% at The Ottawa Hospital to a remarkable 100%.
The research is structured around five peer-reviewed journal papers, each addressing a specific aspect of the optimization of surgical efficiency. The first paper employs descriptive analytics to examine the factors influencing delays and overtime pay during surgeries. By identifying and analyzing these factors, insights are gained into the underlying causes of surgery inefficiencies.
The second paper proposes three frameworks aimed at improving Operating Room (OR) throughput. These frameworks provide structured guidelines and strategies to enhance the overall efficiency of surgeries, encompassing preoperative, intraoperative, and postoperative stages. By streamlining the workflow and minimizing bottlenecks, the proposed frameworks have the potential to significantly optimize surgical operations.
The third paper outlines a set of actions required to transform a selected predictive system into a prescriptive one. By integrating AI algorithms with decision support mechanisms, the system can offer actionable recommendations to surgeons during surgeries. This transformative step holds tremendous potential in enhancing surgical outcomes while reducing time.
The fourth paper introduces a benchmarking and monitoring system for the selected framework that predicts SSR. Leveraging historical data, this system utilizes supervised machine learning algorithms to forecast the likelihood of successful outcomes based on various surgical team and procedural parameters. By providing real-time monitoring and predictive insights, surgeons can proactively address potential risks and improve decision-making during surgeries.
Lastly, an application paper demonstrates the practical implementation of the prescriptive analytics system. The case study highlights how the system optimizes the allocation of resources and enables the scheduling of additional surgeries on days with a high predicted SSR. By leveraging the system's capabilities, hospitals can maximize their surgical capacity and improve overall patient care
Leveraging Overtime Hours to Fit an Additional Arthroplasty Surgery Per Day: A Feasibility Study
The COVID-19 pandemic resulted in the cancellation of many hip and knee replacements, creating a backlog of patients on top of an existing long waiting list. To reduce wait lists with no financial burden, we aim to evaluate the possibility of leveraging our previous efficiency-improving work to add an additional case to a typical 4-joint day with no extra cost. To do this, 761 total operation days were analyzed from 2012 to 2019, capturing variables such as case number, success (completion of 4 cases before 3:45pm), and patient out of room time. Linear regression was used on 301 successful days to predict 5th cases, while overtime hours saved were calculated from the remaining unsuccessful days. Different cost distributions were then analyzed for a 77% 4-joint day success rate (our baseline), and a 100% 4-joint day success rate. Our predictions show that increasing performance to a 77% success rate can lead to approximately 35 extra cases per year at our institution, while a 100% success rate can produce 56 extra cases per year. Overall, this shows the extent of resources wasted by overtime costs, and the potential for their use in reducing wait times. Future work can explore optimal staffing procedures to account for these extra cases
Design of an Augmented Reality Health Activity Platform for Older Adults Living in Long-Term Care
As the Canadian population continues to age efforts have been focussed on finding innovative strategies to promote active aging throughout the aging process and well into long-term care (LTC). The increased use of innovative technologies has been identified as a leading strategy to promote participation in health activities among older adults in LTC. However, technology use by older adults remains a challenge and participatory design (PD) frameworks must be used to design user-centered technologies with favourable acceptance and uptake. Hence, this thesis aimed to identify design requirements for an augmented reality health activity gaming platform for use in LTC. A participatory design framework was used with the objectives of (1) exploring the current attitudes, usage, benefits and challenges regarding the use of technology, (2) gathering preliminary data on the attitudes of older adults and staff in LTC regarding the inclusion of an augmented reality health activity platform and (3) reflecting on the process of employing a PD approach with older adults and other stakeholders in the context of LTC. Focus group data was used to perform qualitative inductive thematic analysis on older adult and staff discussions. The findings of the research included a current understanding of technological needs and uses within LTC, facilitators and barriers to technology uptake as well as the integration process of technology in LTC. In addition, findings included pragmatic design requirements for the augmented reality health activity platform at the selected LTC facility. This thesis research addresses the need to engage in PD activities to create a platform anchored in person-driven design rather than technology-driven design. This research ultimately builds the foundation for which future technology design teams should involve relevant stakeholders in the ideation, prototyping and evaluation of novel technologies for LTC
Understanding Innovation in the Ontario Health System: A Scoping Review and Survey of Ontario Healthcare Providers
There is growing interest in understanding how innovation processes can address current health system challenges. Healthcare constantly needs to adapt, learn, and develop to meet the needs of the elaborate healthcare environment; thus, innovation is increasingly seen as a critical capability for healthcare organizations to accommodate these needs. Understanding the dynamics of innovation in healthcare is not only essential to healthcare professionals but also for policymakers who tend to use innovation policy to stimulate efficiency and contain costs related to healthcare services.
Knowledge about innovation in healthcare is scarce, and many studies on innovation in healthcare have focused on specific technologies and specific policies or stakeholders. There are also enduring studies focused on conceptualizing the spread and implementation of innovations. This research addressed the gap related to the understanding of innovation and the social factors that shape cohesion in multiparty innovation in healthcare. This was achieved by contributing theoretical and empirical insights into the hidden features of contextual and social complexity which impact divergent thinking between healthcare professionals and provincial policymakers
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