Compact Representations for Fast Nonrigid Registration of Medical Images

We develop efficient techniques for the non-rigid registration of medical images by using representations that adapt to the anatomy found in such images. Images of anatomical structures typically have uniform intensity interiors and smooth boundaries. We create methods to represent such regions compactly using tetrahedra. Unlike voxel-based representations, tetrahedra can accurately describe the expected smooth surfaces of medical objects. Furthermore, the interior of such objects can be represented using a small number of tetrahedra. Rather than describing a medical object using tens of thousands of voxels, our representations generally contain only a few thousand elements. Tetrahedra facilitate the creation of efficient non-rigid registration algorithms based on finite element methods (FEM). We create a fast, FEM-based method to non-rigidly register segmented anatomical structures from two subjects. Using our compact tetrahedral representations, this method generally requires less than one minute of processing time on a desktop PC. We also create a novel method for the non-rigid registration of gray scale images. To facilitate a fast method, we create a tetrahedral representation of a displacement field that automatically adapts to both the anatomy in an image and to the displacement field. The resulting algorithm has a computational cost that is dominated by the number of nodes in the mesh (about 10,000), rather than the number of voxels in an image (nearly 10,000,000). For many non-rigid registration problems, we can find a transformation from one image to another in five minutes. This speed is important as it allows use of the algorithm during surgery. We apply our algorithms to find correlations between the shape of anatomical structures and the presence of schizophrenia. We show that a study based on our representations outperforms studies based on other representations. We also use the results of our non-rigid registration algorithm as the basis of a segmentation algorithm. That algorithm also outperforms other methods in our tests, producing smoother segmentations and more accurately reproducing manual segmentations.

Learning Commonsense Categorical Knowledge in a Thread Memory System

If we are to understand how we can build machines capable of broad purpose learning and reasoning, we must first aim to build systems that can represent, acquire, and reason about the kinds of commonsense knowledge that we humans have about the world. This endeavor suggests steps such as identifying the kinds of knowledge people commonly have about the world, constructing suitable knowledge representations, and exploring the mechanisms that people use to make judgments about the everyday world. In this work, I contribute to these goals by proposing an architecture for a system that can learn commonsense knowledge about the properties and behavior of objects in the world. The architecture described here augments previous machine learning systems in four ways: (1) it relies on a seven dimensional notion of context, built from information recently given to the system, to learn and reason about objects' properties; (2) it has multiple methods that it can use to reason about objects, so that when one method fails, it can fall back on others; (3) it illustrates the usefulness of reasoning about objects by thinking about their similarity to other, better known objects, and by inferring properties of objects from the categories that they belong to; and (4) it represents an attempt to build an autonomous learner and reasoner, that sets its own goals for learning about the world and deduces new facts by reflecting on its acquired knowledge. This thesis describes this architecture, as well as a first implementation, that can learn from sentences such as ``A blue bird flew to the tree'' and ``The small bird flew to the cage'' that birds can fly. One of the main contributions of this work lies in suggesting a further set of salient ideas about how we can build broader purpose commonsense artificial learners and reasoners.

Sparse Representations of Multiple Signals

We discuss the problem of finding sparse representations of a class of signals. We formalize the problem and prove it is NP-complete both in the case of a single signal and that of multiple ones. Next we develop a simple approximation method to the problem and we show experimental results using artificially generated signals. Furthermore,we use our approximation method to find sparse representations of classes of real signals, specifically of images of pedestrians. We discuss the relation between our formulation of the sparsity problem and the problem of finding representations of objects that are compact and appropriate for detection and classification.

Two-dimensional Photonic Crystals Fabricated by Nanoimprint Lithography

We report on the process parameters of nanoimprint lithography (NIL) for the fabrication of two-dimensional (2-D) photonic crystals. The nickel mould with 2-D photonic crystal patterns covering the area up to 20mm² is produced by electron-beam lithography (EBL) and electroplating. Periodic pillars as high as 200nm to 250nm are produced on the mould with the diameters ranging from 180nm to 400nm. The mould is employed for nanoimprinting on the poly-methyl-methacrylate (PMMA) layer spin-coated on the silicon substrate. Periodic air holes are formed in PMMA above its glass-transition temperature and the patterns on the mould are well transferred. This nanometer-size structure provided by NIL is subjective to further pattern transfer.

Exploring Bit-Difference for Approximate KNN Search in High-dimensional Databases

In this paper, we develop a novel index structure to support efficient approximate k-nearest neighbor (KNN) query in high-dimensional databases. In high-dimensional spaces, the computational cost of the distance (e.g., Euclidean distance) between two points contributes a dominant portion of the overall query response time for memory processing. To reduce the distance computation, we first propose a structure (BID) using BIt-Difference to answer approximate KNN query. The BID employs one bit to represent each feature vector of point and the number of bit-difference is used to prune the further points. To facilitate real dataset which is typically skewed, we enhance the BID mechanism with clustering, cluster adapted bitcoder and dimensional weight, named the BID⁺. Extensive experiments are conducted to show that our proposed method yields significant performance advantages over the existing index structures on both real life and synthetic high-dimensional datasets.

Learning Three-Dimensional Shape Models for Sketch Recognition

Artifacts made by humans, such as items of furniture and houses, exhibit an enormous amount of variability in shape. In this paper, we concentrate on models of the shapes of objects that are made up of fixed collections of sub-parts whose dimensions and spatial arrangement exhibit variation. Our goals are: to learn these models from data and to use them for recognition. Our emphasis is on learning and recognition from three-dimensional data, to test the basic shape-modeling methodology. In this paper we also demonstrate how to use models learned in three dimensions for recognition of two-dimensional sketches of objects.

Dimensional structure of the Brief Symptom Inventory with Spanish college students. 'Estructura dimensional del Brief Symptom Inventory con universitarios espa??oles'

Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

Propiedades psicom??tricas y estructura dimensional de la adaptaci??n espa??ola del Cuestionario de Estrategias de Afrontamiento en Competici??n Deportiva

Resumen tomado de la publicaci??n

Una aproximación a las actitudes políticas de los españoles mediante una estructura dimensional inductiva

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Data collection in Internet environment in social representations studies

The present study aimed at comparing social representations structures concerning data collection procedures: through internet forms, diffused in the WWW, and through conventional paper and pencil questionnaire methods. overall 893 individuals participated in the research, 58% of whom were female. A total of 217 questionnaires about the social representation on football (soccer) and 218 about the representation on aging were answered by Brazilian university students in classrooms. Electronic versions of the same instrument were diffused through an internet forum linked to the same university. There were 238 answers for the football questionnaire and 230 for the aging one. The instrument asked participants to indicate five words or expressions related to one of the social objects. Sample characteristics and structural analyses were carried out separately for the two data collection procedures. data indicated that internet-based research allows for higher sample diversity, but it is essential to guarantee the adoption of measures that can select only desired participants. Results also pointed out the need to take into account the nature of the social object to be investigated through internet research on representations, seeking to avoid self-selection effects, which can bias results, as it seems to have happened with the football social object.

Psychometric Properties of the Inventário Dimensional Clínico da Personalidade (IDCP) using the Rating Scale Model

The aim of this study was to evaluate the performance of the Dimensional Clinical Personality Inventory (DCPI) using Rasch-based person and item analysis. 1281 participants were recruited, between 18 and 90 years of age (M=26.64; SD=8.94), 431 men (33.6%) and 127 (9.9%) patients diagnosed with axis I disorders and/or axis II according to DSM-IV-TR. Results indicated the IDCP scales performed reasonably well, and the usefulness of the analyses presented, demonstrate the Rasch model’s applicability for clinical applications. Among the important tools offered by the Rasch model, we explore the use of the person-item map, which visually presents the intuitively understandable psychological construct along the dimensional scale of the instrument.

Psicopatía: una perspectiva dimensional y no penal del constructo

La personalidad psicopática tiene un innegable vínculo histórico con el comportamiento antisocial, con un predominio de los estudios latinoamericanos con muestras de los centros penitenciarios. Sin embargo, nuevos resultados han sugerido que los comportamientos antisociales, por su falta de especificidad, no deben considerarse como un elemento central para el constructo psicopatía, lo que permite su estudio en la población general. Así, el objetivo de este estudio es presentar una revisión de la literatura sobre el tema de la psicopatía, con énfasis en los estudios que aportan evidencia a favor de una visión dimensional y no penal del constructo. Se revisan las relaciones con el comportamiento antisocial, los resultados de investigaciones taxométricas, relaciones con narcisismo y maquiavelismo y con la teoría Reinforcement Sensitivity. Se sugiere la investigación del constructo en la población general en América Latina y la construcción o adaptación de instrumentos adecuados para esto propósito.

Metrología dimensional.

En el libro se desarrollan 16 capítulos: Unidades, Errores, Causas de error, Equipos de medida, Patrones, Normalización de ajustes, Medida de redondez, Control del acabado superficial, Mediciones de longitud, Medidas por comparación, Medida de ángulos, Medida de conos y radios de cilindros y esferas, Planitud y rectitud, Verificación de engranajes, Verificación de roscas, y Verificación de las máquinas herramientas. Al finalizar el último capítulo se ofrece un vocabulario de los términos metrológicos más significativos, relacionados con los temas de: magnitudes y unidades, mediciones, resultados de medición, instrumentos de medida, características de los instrumentos de medida y patrones.

Problemas sobre metrología dimensional.

La obra plantea una serie de cien problemas solucionados, seleccionados como los más significativos de los siguientes temas: Unidades (problemas 1-2-3), Dilataciones (p. 4-5-6-7-8-9-10), Errores (p. 11-12-13), Sensibilidades (p. 14-15-16-17-18), Ajustes y Tolerancias (p. 19-20-21-22-23-24-25-26-27-28), Redondez (p. 29-30), Rugosidad (p. 31-32-33-34-35-36-37-38-39), Pie de rey (p. 40-41-42-43-44-45), Palmer (p. 46-47-47-48-49-50-51-52), Proyector de perfiles (p. 53-54-55-56-57-58-59), Comparadores (p. 60-61-62-63-64-65-66), Medidad angulares (p. 67-68-69-70-71-72), Control de radios de cilindros y esferas (73-74-75-76-77-78-79-80), Verificación de engranajes (p. 81-82-83-84-85-86-87-88-89), Verificación de roscas (p. 90-91-92-93-94-95-96-97-98-99), Verificación de máquinas herramientas (p. 100).

Una aproximaci?? al m??tode dimensional Cambrod??

Resumen de la autora en catal??n