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Yu C.-P.,Pennsylvania State University | Ruppert G.C.S.,University of Campinas | Ruppert G.C.S.,Renato Archer Center for Information Technology | Nguyen D.T.D.,Pennsylvania State University | And 2 more authors.
BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing | Year: 2012

The precise segmentation of brain tumors from MR images is necessary for surgical planning. However, it is a tedious task for the medical professionals to process manually. The performance of supervised machine learning techniques for automatic tumor segmentation is time consuming and very dependent on the type of the training samples. Brain tumors are statistically asymmetrical blobs with respect to the mid-sagittal plane (MSP) in the brain and we present an asymmetry-based, novel, fast, fully-automatic and unsupervised framework for 3D brain tumor segmentation from MR images. Our approach detects asymmetrical intensity deviation of brain tissues in 4 stages: (1) automatic MSP extraction, (2) asymmetrical slice extraction for an estimated tumor location, (3) region of interest localization, and (4) 3D tumor volume delineation using a watershed method. The method has been validated on 17 clinical MR volumes with a 71.23%±27.68% mean Jaccard Coefficient. Source


Freitas W.,Renato Archer Center for Information Technology | Flacker A.,Renato Archer Center for Information Technology | Flacker A.,University of Campinas | Adamo C.B.,Renato Archer Center for Information Technology | Rotondaro A.L.P.,Renato Archer Center for Information Technology
Chip in Curitiba 2013 - SBMicro 2013: 28th Symposium on Microelectronics Technology and Devices | Year: 2013

Multi-Chip Modules enable combining different integrated circuits with passive components leading to advantages in size, performance and cost. This paper presents the design of a testchip which was planned to extend the characterization of the process parameters for the development of MCM-D technology. It was made using Virtuoso Cadence Software, with minimum dimension of 20 μm, resulting in four mask layers. © 2013 IEEE. Source


Adamo C.B.,Renato Archer Center for Information Technology | Flacker A.,Renato Archer Center for Information Technology | Flacker A.,University of Campinas | Freitas W.,Renato Archer Center for Information Technology | And 3 more authors.
Journal of Integrated Circuits and Systems | Year: 2015

Multi-chip Module (MCM) is a technology that can be applied to silicon and alumina modules allowing advantages in the integration complexity. This paper reports a MCM-D (D for deposition) technology suitable to fabricate passive components using two metal levels and non-photosensitive polymer benzocyclobutene as dielectric. The devices are produced using thin film technology, vacuum metallization, electroless and electrolytic deposition, photolithography process and wet etching. Electrical measurements and focused ion beam (FIB) were used to evaluate the characteristics of the MCM-D structures. © 2015 Brazilian Microelectronics Society. All rights reserved. Source


Ruppert G.C.S.,Renato Archer Center for Information Technology | Amorim P.H.J.,Renato Archer Center for Information Technology | Moraes T.F.,Renato Archer Center for Information Technology | Silva J.V.L.,Renato Archer Center for Information Technology
Innovative Developments in Virtual and Physical Prototyping - Proceedings of the 5th International Conference on Advanced Research and Rapid Prototyping | Year: 2012

In this work we present a natural user interface system using hand gestures to provide touchless control of 3D visualizatio n software using the Microsoft Kinect device. Kinect is a relatively low-cost device developed by Microsoft for the gaming industry to provide controller-free gaming, but it has potential applications in many other areas, such as: data visualization, augmented reality, accessibility and robotics. Although our solution can be used with any 3D software, the present work is primarily focused in one particular application which is the visualization of 3D medical images during a surgical procedure. The operating room is a cleansed and sterilized environment and the contact of the surgeon with traditional computer interfaces (like mouse and keyboard) could lead to contamination increasing the risk of patients infection. A touchless interface is an ideal solution since it does not demand any physical contact and still can provide the necessary control features. For the visualization of 3D medical images, we used the InVesalius software that provides 3D reconstruction of medical images with features that enable the rapid prototyping of medical models and provides high-quality visualization of 3D volumes. This software is open-source, cross-platform, multi-language and is freely available. Using open-source software libraries and image processing techniques, we implemented the hands tracking and gestures recognition from the images provided by the Kinect device and enabled the surgeon to successfully navigate through the image. © 2012 Taylor & Francis Group, London. Source

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