Roberto Lavarello received his B.Sc. degree in Electronics Engineering from the Pontificia Universidad Católica del Perú in 2000, and his M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2005 and 2009, respectively. He is currently an associate professor at the Department of Engineering of the Pontificia Universidad Católica del Perú and the director of the Medical Imaging Laboratory from the same institution. His research is primarily focused on the formation and processing of images for the non-invasive assessment of pathological conditions. He is a senior member of IEEE and a former Fulbright scholarship recipient. He has served as an Associate Editor for the IEEE Transactions on Biomedical Engineering (2010-2012) and chair man for IEEE EMBS Peru Chapter (2014-2016). He is currently an Associate Editor for the IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control and the IEEE Transactions on Medical Imaging. He is currently a member of the IEEE EMBS Technical Committee on Biomedical Imaging and Image Processing, the IEEE SPS Technical Committee on Bio Imaging and Signal Processing, elected member of the Administrative Committee of IEEE EMBS and member of IEEE International Ultrasonics Symposium Technical Program Committee.
B.Sc Ing. Electrónica, PUCP, 2000. M.Sc. en Computer Engineering, Rochester Institute of Technology, 2004. M.Sc. y Ph.D. en Electrical and Computer Engineering, University of Rochester 2006 y 2009, respectivamente. Profesor principal del Departamento de Ingeniería de la PUCP. Coordinador de la Carrera de Ing. Biomédica PUCP – UPCH, Coordinador del Centro de Investigación y Desarrollo en Ing. Médica PUCP. Miembro del Comité Peruano de Informática en Salud. Entre sus temas de investigación están el diagnóstico de cáncer de mama y de próstata utilizando elastografía cuantitativa, diagnóstico automatizado de Tuberculosis, medición tridimensional de heridas, diagnóstico de Leishmaniasis cutánea, mejoras en el diagnóstico preventivo en salud materno-perinatal y telemedicina. Miembro asociado de la IEEE SPS Technical Committee on Bio Imaging and Signal Processing. Finalista en el premio al investigador joven del Instituto Americano de Ultrasonido en Medicina (2007 y 2011). Premio SINACYT/CONCYTEC al innovador académico (Perú, 2013). Ganador del Concurso Nacional de Invenciones - Patente (INDECOPI).
Bioingeniera, Universidad de Antioquia, 2010. M.Sc. en Ingeniería y Doctor en Ciencias Médicas, Universidad Pontificia Bolivariana, 2013 y 2018 respectivamente. Profesora y coordinadora del área de Ingeniería Clínica de la especialidad de Ingeniería Biomédica de la PUCP-UPCH. Tiene 10 años de experiencia en temas de Ingeniería Clínica. Ha desarrollado investigación en el área de bionanotecnología. En imágenes médicas, sus áreas de trabajo son adquisición y procesamiento de imágenes multiespectrales, resonancia magnética y fotogrametría en aplicaciones cardiacas y dermatológicas. Es presidenta del Capitulo IEEE-EMBS Perú y miembro de la Asociación Peruana de Ingenieros Clínicos.
Stefano Romero is research assistant of Medical Imaging Laboratory since 2014. During his undergrad studies, he made his thesis which consists in development an algorithm capable to detected pneumonia in children using research ultrasound equipment. This work was one of the winners of PADET award from PUCP. After his graduation, he entered the Digital Signal and Image Processing master program, working as research assistant in the project of “Diagnosis of breast cancer using quantitative sonoelastography” which has generated a conference article published on Symposium on Medical Information Processing and Analysis (SIPAIM). This work was one of the winners of Marco Polo grand. At this moment, Stefano is working as lab assistant and he is finishing his master thesis.
Ana Cecilia Saavedra is an Electronic Engineer from PUCP and is currently a student of the Master’s Program in Signal Processing and Digital Imaging. Since 2015 she has been a member of the Medical Imaging Laboratory where she completed her undergraduate thesis: “Comparative of quantitative elastography techniques based on external mechanical vibration in ultrasonic research equipment with different frequency ranges”, with which she obtained an immediate degree and outstanding qualification. Subsequently, she joined the master’s program where she currently investigates the characterization of healthy skin with quantitative ultrasound parameters using high frequency ultrasound and the use of this to evaluate the therapeutic response to the treatment of Cutaneous Leishamaniasis patients. These preliminary results have been presented at the International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17) and at the Thematic Conference on Computer Vision and Medical Image Processing (VipIMAGE 2017).
Junior Arroyo has been a researcher at the Medical Imaging Laboratory since the beginning of 2015. He was awarded with a Fe y Alegría scholarship in early 2009, which allowed him to conduct undergraduate studies at PUCP. Thus, he followed the specialty of Physics, and developed his thesis whose title was "Generation of interference patterns using quantitative sonoelastography under the principle of holography". With this work, he was one of the winners of the Program for Support to Initiation in Research (PAIN by its acronym in Spanish). After graduating, he enrolled in the Signal Processing and Digital Imaging mastery program, working as a research assistant in the project "Validation of vibroelastography as a tool for the diagnosis of breast cancer in the Peruvian population." As a result, an article was published in the 39th International Conference of the IEEE Engineering in Medicine and Biology society (EMBC). Currently, Junior has completed the Master thesis.
Gustavo Chau studied electrical engineering in San Martín de Porres University (2012) and received the masters degree in Digital Signal and Image Processing by Pontificia Universidad Católica del Perú (2017). Between 2015 and 2016, he was a research assistant at the medical imaging laboratory at PUCP and since 2017 he is a research assistant at the digital signal processing laboratory in the same institution. His research interests include: signal and image processing, medical imaging, inverse problems, optimization, machine learning, neuroscience and brain-machine interfaces.
Andres L. Coila received his B.S. degree in Electronic Engineering and his M.Sc. degree in Digital Signal and Image Processing from the Pontificia Universidad Católica del Perú (PUCP), Lima, Perú, in 2008 and 2017, respectively. From March 2015 to July 2017, he was a Research Assistant at the Laboratorio de Imágenes Médicas (LIM), PUCP. His master thesis consisted on developing a regularized method for construction of ultrasonic attenuation images for tissue characterization. Results derived from his work were presented in the International Symposium of Biomedical Imaging and the International Ultrasonics Symposium on 2016. In addition, he received the awards Marco Polo 2016-1 and PAIP 2016 for his master thesis from PUCP. He won the Doctoral Fellowship Abroad 2016-02 Cienciactiva-CONCYTEC from Peruvian Government to do a PhD in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, USA. Most of his interests cover quantitative ultrasound imaging, tissue characterization, medical image processing, and optimization.
Eduardo A. Gonzalez received his degree of Bachelor of Science majoring in Electrical Engineering in December 2012 and the Electronic Engineer title in January 2014. During his undergraduate studies, he conducted an academic semester at the Technical University of Ilmenau, Germany (Technische Universität Ilmenau) through an exchange program. His undergraduate thesis, "3D Reconstruction: Implementation of a monitoring system for translating a 2D ultrasonic transducer", consisted of a system that recorded the position of an ultrasonic linear transducer during an examination in order to reconstruct the volume of the region being scanned registering an interpolating B-mode ultrasound images with the position coordinates. He has recently obtained his M.Sc. double degree in Mechatronics Engineering from Pontificia Universidad Catolica del Peru and Technische Universität Ilmenau. His master thesis consisted on two contributions in the field of crawling wave sonoelastography (CWS): a real-time, GPU-based implementation of CWS in an ultrasound research system, and the development of a new regulairzed shear wave speed estimator for CWS.
Eduardo’s field of study involves attenuation estimation with hybrid methods, phase aberration correction, real-time imaging, beamforming using tilted plane wave insonification (plane wave compounding) and its impact on the performance of estimation algorithms in elastography procedures, such as quantitative sono-elastography using interference patterns (Crawling waves).
Juvenal Ormachea received his B.S. degree in Electronic Engineering in 2011, a M.S. degree in Digital Signal and Image Processing in 2015 from the Pontificia Universidad Catolica of Peru, Lima, Peru, and a M.S. degree in Electrical Engineering in 2016 from the University of Rochester, NY, USA.
M.S. Ormachea won a Peruvian scholarship (FONDECYT-CONCYTEC) for his doctoral studies in United States. He is presently pursuing a Ph.D. degree in Electrical and Computer Engineering at the University of Rochester. His field of interest is related to the development of new biomedical ultrasound images in order to provide additional and more useful information for clinical diagnosis
Dr. Julien Rouyer was a team member of the LIM as a postdoctoral fellow (CONCYTEC Grant) between June 2014 and August 2016. He received the Master’s degree in physics from Paris VII—Denis Diderot University, Paris, France, in 2008, and the Ph.D. degree in acoustic physics from the Aix-Marseille Université, Marseille, France, in 2012, for his research on ultrasound computed tomography at the Centre National de la Recherche Scientifique (CNRS), Laboratoire de Mécanique et d’Acoustique (LMA). Between 2012 and 2014, he joined the Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Laboratoire de Physicochimie des Matériaux Cimentaires (LP2C), as a postdoctoral researcher to conduct studies in multiscale characterizations by developing ultrasound and rheological techniques. From July 2014 to August 2016, he worked with the Pontificia Universidad Católica del Perú (PUCP), Lima, Peru, pursuing researches on quantitative ultrasound where academic and clinical studies were achieved. As a Principal Investigator, he managed a collaboration (PUCP and UPCH) for a study dealing with the curative response detection during the cutaneous leishmaniasis treatment using quantitative ultrasound methods (Innovate Peru, CONCyTEC). From March 2017, he is working at the CNRS–LMA on ultrasound backscattering models for the quantitative ultrasound characterization of the red blood cells aggregation. His research interests include the acoustical tomography, the mechanical and structural properties of soft matter, and the ultrasonic scattering properties in soft tissues.
B.Sc Ing. Electrónica, PUCP, 2012. Msc. Procesamiento de Señales e Imágenes Digitales, PUCP 2016. Su investigación en posgrado contempló el uso de tecnicas de estimación de atenuación ultrasónica para detección de lesiones cancerígenas en tiroides y mama. Sus áreas de interés son registro de imágenes multimodales, ultrasonido cuantitativo y procesamiento de imágenes radiológicas. Actualmente es candidato a Ph.D en la universidad de Orleans, Francia por medio de una investigación centrada en el registros de imagenes hyperspectrales y endoscópicas para la mejora de la exploración gastrointestinal.