A comparative evaluation for liver segmentation from spir images and a novel level set method using signed pressure force function

Thesis (Doctoral)--Izmir Institute of Technology, Electronics and Communication Engineering, Izmir, 2013Includes bibliographical references (leaves: 118-135)Text in English; Abstract: Turkish and Englishxv, 145 leavesDeveloping a robust method for liver segmentation from magnetic resonance images is a challenging task due to similar intensity values between adjacent organs, geometrically complex liver structure and injection of contrast media, which causes all tissues to have different gray level values. Several artifacts of pulsation and motion, and partial volume effects also increase difficulties for automatic liver segmentation from magnetic resonance images. In this thesis, we present an overview about liver segmentation methods in magnetic resonance images and show comparative results of seven different liver segmentation approaches chosen from deterministic (K-means based), probabilistic (Gaussian model based), supervised neural network (multilayer perceptron based) and deformable model based (level set) segmentation methods. The results of qualitative and quantitative analysis using sensitivity, specificity and accuracy metrics show that the multilayer perceptron based approach and a level set based approach which uses a distance regularization term and signed pressure force function are reasonable methods for liver segmentation from spectral pre-saturation inversion recovery images. However, the multilayer perceptron based segmentation method requires a higher computational cost. The distance regularization term based automatic level set method is very sensitive to chosen variance of Gaussian function. Our proposed level set based method that uses a novel signed pressure force function, which can control the direction and velocity of the evolving active contour, is faster and solves several problems of other applied methods such as sensitivity to initial contour or variance parameter of the Gaussian kernel in edge stopping functions without using any regularization term

Dynamic Thermal Imaging for Intraoperative Monitoring of Neuronal Activity and Cortical Perfusion

Neurosurgery is a demanding medical discipline that requires a complex interplay of several neuroimaging techniques. This allows structural as well as functional information to be recovered and then visualized to the surgeon. In the case of tumor resections this approach allows more fine-grained differentiation of healthy and pathological tissue which positively influences the postoperative outcome as well as the patient's quality of life. In this work, we will discuss several approaches to establish thermal imaging as a novel neuroimaging technique to primarily visualize neural activity and perfusion state in case of ischaemic stroke. Both applications require novel methods for data-preprocessing, visualization, pattern recognition as well as regression analysis of intraoperative thermal imaging. Online multimodal integration of preoperative and intraoperative data is accomplished by a 2D-3D image registration and image fusion framework with an average accuracy of 2.46 mm. In navigated surgeries, the proposed framework generally provides all necessary tools to project intraoperative 2D imaging data onto preoperative 3D volumetric datasets like 3D MR or CT imaging. Additionally, a fast machine learning framework for the recognition of cortical NaCl rinsings will be discussed throughout this thesis. Hereby, the standardized quantification of tissue perfusion by means of an approximated heating model can be achieved. Classifying the parameters of these models yields a map of connected areas, for which we have shown that these areas correlate with the demarcation caused by an ischaemic stroke segmented in postoperative CT datasets. Finally, a semiparametric regression model has been developed for intraoperative neural activity monitoring of the somatosensory cortex by somatosensory evoked potentials. These results were correlated with neural activity of optical imaging. We found that thermal imaging yields comparable results, yet doesn't share the limitations of optical imaging. In this thesis we would like to emphasize that thermal imaging depicts a novel and valid tool for both intraoperative functional and structural neuroimaging

Laboratory-directed research and development: FY 1996 progress report

This report summarizes the FY 1996 goals and accomplishments of Laboratory-Directed Research and Development (LDRD) projects. It gives an overview of the LDRD program, summarizes work done on individual research projects, and provides an index to the projects` principal investigators. Projects are grouped by their LDRD component: Individual Projects, Competency Development, and Program Development. Within each component, they are further divided into nine technical disciplines: (1) materials science, (2) engineering and base technologies, (3) plasmas, fluids, and particle beams, (4) chemistry, (5) mathematics and computational sciences, (6) atomic and molecular physics, (7) geoscience, space science, and astrophysics, (8) nuclear and particle physics, and (9) biosciences

Function-oriented in-line quality assurance of hybrid sheet molding compound

Die Verwendung von faserverstärkten Kunststoffen (FVK) nimmt weltweit stetig zu. Die Kombination von diskontinuierlichem Sheet Molding Compound (DiCo-SMC) und kontinuierlichem SMC (Co-SMC) in einer neuen, hybriden Materialklasse (CoDiCo-SMC) verspricht günstige Herstellungskosten bei gleichzeitig hoher lokaler Steifigkeit und Festigkeit zu erreichen. Allerdings gefährden auftretende Fertigungsabweichungen die Funktionserfüllung der gefertigten Bauteile. Die resultierende Forderung nach fehlerfreien FVK-Bauteilen gilt neben den hohen Preisen für Rohmaterialien als ein weiterer Kostentreiber. Mithilfe des Ansatzes einer bauteilindividuellen, funktionsorientierten In-line-Qualitätssicherung soll im Rahmen dieser Arbeit Abhilfe geschaffen werden. Für diese Art der Qualitätssicherung werden In-line-Messergebnisse in Funktionsmodelle integriert. Metamodelle der Funktionsmodelle beschleunigen die Funktionsbewertung und ermöglichen eine Funktionsaussage innerhalb der Zykluszeit in der Produktion. In der vorliegenden Arbeit wurde die bauteilindividuelle, funktionsorientierte In-line-Qualitäts-sicherung exemplarisch für die neue Werkstoffklasse CoDiCo-SMC umgesetzt. Zur Quantifizierung von drei relevanten Fertigungsabweichungen (lokale Glasfaseranteile, Pose des Co-SMC Patches, Delamination) wurden drei verschiedene Messtechniken eingesetzt. Die Terahertz-Spektroskopie wurde zum ersten Mal zur In-line-Messung lokaler Glasfaseranteile in DiCo-SMC eingesetzt. Die Puls-Phasen-Thermografie wurde zur Quantifizierung der Delamination und eine Industriekamera zur Messung der Pose des Co-SMC Patches genutzt. Für jede Messtechnik wurde die Messunsicherheit gemäß des „Guide to the expression of uncertainty in measurement“ (GUM) quantifiziert. Die Messergebnisse wurden in einem parametrierten Finite-Elemente-Modell (FE) weiterverarbeitet und zu einer Funktionsprädiktion aggregiert. Mit Hilfe der Messergebnisse und der modellierten Funktion konnten über diese Input-Output-Beziehungen Metamodelle trainiert werden. In dieser Arbeit wird die prädizierte Bauteilfunktion ebenfalls als Messergebnis verstanden. Daher wurden die Mess-unsicherheiten sowohl der FE-Modelle als auch der Metamodelle bestimmt. Der vorgeschlagene Ansatz wurde anhand von zwei exemplarischen Prüfkörpern validiert. Die Ergebnisse zeigen, dass insbesondere die Messung der lokalen Glasfaseranteile und der Pose des Co-SMC Patches Rückschlüsse auf die bauteilspezifische Steifigkeit zulassen. Allerdings muss aufgrund der ermittelten Messunsicherheiten derzeit noch auf eine industrielle Anwendung verzichtet werden. Die Nutzung bauteilspezifischer Funktionsinformationen nach der Fertigung ermöglicht es, gängige Sicherheitsfaktoren in der Dimensionierung von FVK-Bauteilen zu reduzieren

Improved micro-contact resistance model that considers material deformation, electron transport and thin film characteristics

This paper reports on an improved analytic model forpredicting micro-contact resistance needed for designing microelectro-mechanical systems (MEMS) switches. The originalmodel had two primary considerations: 1) contact materialdeformation (i.e. elastic, plastic, or elastic-plastic) and 2) effectivecontact area radius. The model also assumed that individual aspotswere close together and that their interactions weredependent on each other which led to using the single effective aspotcontact area model. This single effective area model wasused to determine specific electron transport regions (i.e. ballistic,quasi-ballistic, or diffusive) by comparing the effective radius andthe mean free path of an electron. Using this model required thatmicro-switch contact materials be deposited, during devicefabrication, with processes ensuring low surface roughness values(i.e. sputtered films). Sputtered thin film electric contacts,however, do not behave like bulk materials and the effects of thinfilm contacts and spreading resistance must be considered. Theimproved micro-contact resistance model accounts for the twoprimary considerations above, as well as, using thin film,sputtered, electric contact

Annual report 2015

Accessions considered in the study. Overview of the material considered in this study. For all materials, the GenBank identifier, the accession and species name as used in this study (Species) as well as their species synonyms used in the donor seed banks or in the NCBI GenBank (Material source/Reference) are provided. The genome symbol, and the country of origin, where the material was originally collected are given. The ploidy level measured in the scope of this study and the information if a herbarium voucher could be deposited in the herbarium of IPK Gatersleben (GAT) is given. Genomic formulas of tetraploids and hexploids are given as “female x male parent”. The genomes of Aegilops taxa follow Kilian et al. [74] and Li et al. [84]. Genome denominations for Hordeum follow Blattner [107] and Bernhardt [12] for the remaining taxa. (XLS 84 kb

Imaging Sensors and Applications

In past decades, various sensor technologies have been used in all areas of our lives, thus improving our quality of life. In particular, imaging sensors have been widely applied in the development of various imaging approaches such as optical imaging, ultrasound imaging, X-ray imaging, and nuclear imaging, and contributed to achieve high sensitivity, miniaturization, and real-time imaging. These advanced image sensing technologies play an important role not only in the medical field but also in the industrial field. This Special Issue covers broad topics on imaging sensors and applications. The scope range of imaging sensors can be extended to novel imaging sensors and diverse imaging systems, including hardware and software advancements. Additionally, biomedical and nondestructive sensing applications are welcome