Elisa Mussi

University of Florence

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i-10 index

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Co-Authors

Yary Volpe

University of Florence

Michaela Servi

University of Florence

Rocco Furferi

University of Florence

Flavio Facchini

Meyer Children's Hospital

Antonino Morabito

University of Florence

Francesca Uccheddu

University of Padua

Riccardo Coletta

Meyer Children's Hospital

Francesco Buonamici

University of Florence

Monica Carfagni

University of Florence

Roberto Magherini

University of Florence

Cooperative Institutions

University of Florence

Meyer Children's Hospital

Azienda Ospedaliero-Universitaria Careggi

Istituti di Ricovero e Cura a Carattere Scientifico

Meyer Children's Hospital

Istituto Nazionale di Fisica Nucleare, Sezione di Firenze

Florence (Netherlands)

University of Rome Tor Vergata

University of Pisa

Scuola Superiore Sant'Anna

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A Wearable Sensing Device for Monitoring Single Planes Neck Movements: Assessment of Its Performance

IEEE Sensors Journal (2018)

Martina Maselli Elisa Mussi Francesca Cecchi Mariangela Manti Peppino Tropea

The evaluation of cervical spine mobility and the measurement of cervical range of motion are important methods used in clinical settings for diagnosis and prognosis of patients with cervical spine disorders but also to quantify manipulation effects. Therefore, the primary objective of this paper was the development of a "wear and forget" device able to monitor head posture. This paper consists of three parts: 1) identification and characterization of the piezoresistive textile employed both in static and dynamic conditions; 2) development of the sensor design; and 3) validation study concerning the investigation of sensor performances using Vicon measurements, as the reference standard. The proposed smart textile allowed the development of a light, comfortable, and non-invasive wearable system. The sensor accuracy and repeatability in measuring cervical range of motion in each primary plane (lateral bending, axial rotation, and flexion/extension) for five healthy subjects were evaluated. The results show a good accuracy and satisfactory repeatability with maximum standard deviation value close to 10°. We demonstrated the effectiveness of the wearable system as a valid, accurate, and suitable device for evaluating single plane neck movements.

Repeatability

Piezoresistive effect

10.1109/jsen.2018.2847454

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Citations (20)

BRAINTOOL: A 3D PRINTED ANTHROPOMORPHIC PHANTOM TO TEST ACCURACY OF BRAIN RADIOTHERAPY TREATMENTS

Physica Medica (2022)

S. Calusi C. Arilli Elisa Mussi Luca Puggelli Daniele Farnesi

3d printed

10.1016/s1120-1797(22)02566-2

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Citations (0)

Modelling and fabrication procedure for a 3D printed cardiac model - surgical planning of Left Ventricular Aneurysm

MethodsX (2022)

Francesco Buonamici Elisa Mussi Chiara Santarelli Nazario Carrabba Pierluigi Stefàno

The present paper describes a procedure for the development and production of a physical model for surgical planning of a Left Ventricular Aneurysm. The method is based on the general approach provided in [1] and was customized to seek a reliable and fast procedure for the production of a specific type of cardiac model – i.e. chambers of the left side of the heart. The paper covers all the steps: processing of the data, segmentation, modelling and 3D printing; details are provided for all the phases, in order to allow the reproduction of the achieved results. The procedure relies on Computed Tomography - CT imaging as data source for the identification and modelling of the anatomy. Materialise Mimics was used as segmentation software to process the CT data. While its usefulness for the surgical needs was verified on a single clinical case (provided by the Careggi Hospital of Florence, Italy), the modelling procedure was tested twice, to produce a physical replica both ex-ante and ex-post surgical intervention. The tools used for segmentation and generation of the printable model were customized to reduce modelling time for the specific type of desired model Detailed information on the use of modelling tools, not available in the literature, will be provided The procedure allows fabrication of a physical model representing the heart chambers in a short time.

Surgical Planning

Left Ventricular Aneurysm

10.1016/j.mex.2022.101822

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Citations (2)

A Fully Automated Procedure for the Creation of Digital Patient-Specific Surgical Guides for Ear Reconstruction

Lecture notes in mechanical engineering (2024)

Elisa Mussi Michaela Servi Flavio Facchini

10.1007/978-3-031-52075-4_15

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Citations (0)

CNN Approach for Monocular Depth Estimation: Ear Case Study

Lecture notes in mechanical engineering (2021)

Roberto Magherini Michaela Servi Elisa Mussi Rocco Furferi Francesco Buonamici

Realization (probability)

Depth map

Similarity (geometry)

Monocular

RGB color model

10.1007/978-3-030-91234-5_22

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Autologous Ear Reconstruction: Towards a Semiautomatic CAD-based Procedure for 3D Printable Surgical Guides

Computer-Aided Design and Applications (2020)

Flavio Facchini Antonino Morabito Francesco Buonamici Elisa Mussi Michaela Servi

Serial plates are not reasonable in material saving and stress dispersion.To design orthopedic plates ideally and conveniently, this paper proposes a method to optimize plates through editing semantic parameters based on average bone model.Firstly, for the reasonable distribution of serial plates in number and size, an average bone model is created from the existing bones, among which each bone has a contribution to the average model.Secondly, a common orthopedic plate with semantic parameters is constructed on average bone model and it can be conveniently modified.Lastly, optimizing the thickness of the plate through finite element analysis and genetic algorithm to meet the stress condition and use as little material as possible.The simulation results indicate that the method can save material and disperse the stress of the plates so that it can effectively optimize the orthopedic plates.

3d printer

3d printed

10.14733/cadaps.2021.357-367

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Citations (82)

Emotion recognition in the times of COVID19: Coping with face masks

Intelligent Systems with Applications (2022)

Roberto Magherini Elisa Mussi Michaela Servi Yary Volpe

Emotion recognition through machine learning techniques is a widely investigated research field, however the recent obligation to wear a face mask, following the COVID19 health emergency, precludes the application of systems developed so far. Humans naturally communicate their emotions through the mouth; therefore, the intelligent systems developed to date for identifying emotions of a subject primarily rely on this area in addition to other anatomical features (eyes, forehead, etc..). However, if the subject is wearing a face mask this region is no longer visible. For this reason, the goal of this work is to develop a tool able to compensate for this shortfall. The proposed tool uses the AffectNet dataset which is composed of eight class of emotions. The iterative training strategy relies on well-known convolutional neural network architectures to identify five sub-classes of emotions: following a pre-processing phase the architecture is trained to perform the task on the eight-class dataset, which is then recategorized into five classes allowing to obtain 96.92% of accuracy on the testing set. This strategy is compared to the most frequently used learning strategies and finally integrated within a real time application that allows to detect faces within a frame, determine if the subjects are wearing a face mask and recognize for each one the current emotion.

10.1016/j.iswa.2022.200094

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Citations (16)

Tissue-Mimicking Echogenic Materials for Ultrasound Training Phantoms: A Quantitative Characterization

Marta Mencarelli Elisa Mussi Luca Puggelli Antonio Virga Rocco Furferi

High-fidelity mannequins are increasingly used to train the medical staff on many medical procedures. Lately, a new challenge regarding echogenic materials to build ultrasound-responding phantoms has emerged. The challenge is to find materials with a suitable combination of ultrasound velocity and mechanical properties. For those reasons, bibliographic research was performed to identify materials with promising mechanical, shape-retention, and acoustic properties combinations. As-standardized-as-possible specimens were realized and tested using an A-mode ultrasound machine to evaluate the US velocity through them. The selected materials were four differently-doped silicones, five gelatin-based materials, five synthetic gelatins, and a 3D-printable resin. After being tested, the materials were monitored for 12 days to assess their durability and shape retention and tested again to evaluate the acoustic propertiesâ€™ stability. In the paper, the results of the characterization and follow-up of the materials are presented. Outcomes show that gelatins are exceptional soft-tissue-mimicking materials in terms of echogenicity and mechanical properties but are poor in terms of overtime stability and therefore suitable for disposable short-term phantoms only. Doped silicones present lower ultrasound velocity, but excellent shape retention and mechanical properties. Interesting results were also given by the Elastic50A and by polyvinyl-chloride plastisol.

Echogenicity

Characterization

10.2139/ssrn.4502868

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P-26: Preoperative Personalised Surgical Planning for Patient Undergoing Spiral Intestinal Lengthening and Tailoring: A Mathematical Approach

Transplantation (2021)

Elisa Mussi Riccardo Coletta Antonino Morabito

Autologous gastrointestinal surgical procedures are an important surgical tool for patient suffering SBS. However, these surgical procedures need extensive experience due to the limited number of cases and their high risk of complications. Despite LILT and STEP have developed large experience, SILT has been proposed only in the recent years and no long term follow up is still reported so far. One of the key characteristics of SILT is the longitudinally elongation of intestine by sliding one flap over the other using a spiral incision of the intestinal wall. At the present time, the SILT spiral incision seems to be influenced by surgical experience in AGIR, making this procedure very difficult to reproduce safely. To overtake this limit, we developed and validated a mathematical model, tailored on patient’s specific anatomical data, which aims to help the surgeon in defining the optimal incisions to perform SILT. Using this mathematical preoperative model, it is possible to predict the final shape of selected intestinal segment. Such tool can assist the physician in surgery room, improving the procedure and reducing surgical times.

Surgical Planning

Surgical procedures

10.1097/01.tp.0000757908.55489.4d

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Citations (0)

A Simple Interactive Tool for the CAD Modelling of Surgical Guides for Autologous Ear Reconstruction

Computer-Aided Design and Applications (2022)

Elisa Mussi Michaela Servi Yary Volpe Flavio Facchini

The traditional product form design research usually starts from a single aspect such as aesthetics, ergonomics and Kansei engineering, and lacks the comprehensive consideration of multiple constraints.To solve this problem, a product form optimization design method oriented to aesthetics and ergonomics is proposed.First, based on the theory of computational aesthetics, a quantitative product form aesthetic index system is established.Using the entropy method to achieve the comprehensive evaluation of product form aesthetics.The ergonomic evaluation is carried out by measuring the difference between the standard values and the actual values of the design parameters.Then, taking the aesthetic and ergonomic evaluation as game players, a noncooperative game model is established, and the Nash equilibrium is solved to achieve product form optimization.Finally, We verify by experiments that this method can better realize the multifactor fusion design of the product.

10.14733/cadaps.2023.109-118

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Citations (1)