Hadleigh Castle, The Mouth of the Thames--Morning after a Stormy Night

John Constable; 3 ft. 11 63/64 in.x 5 ft. 4 49/64 in.; oil on canvas

Self-Portrait (after Reynolds)

Henry Bone; 10 1/8 in.x 7 23/32 in.; enamel on coper

Francesco d'Este (born about 1430, died after 1475)

Rogier van der Weyden; 11 47/64 in.x 7 63/64 in. (painted surface); oil on wood

Francesco d'Este (born about 1430, died after 1475), reverse, Este family coat of arms and crest

Rogier van der Weyden; 11 47/64 in.x 7 63/64 in. (painted surface); oil on wood

The Martyrdom of Saint Peter, after Titian

Martino Rota; 1 ft. 3 25/32 in.x 10 45/64 in.; engraving

Ignudo, after Michelangelo

Peter Paul Rubens, after Michelangelo; 1 ft. 3 9/32 in.x 10 15/16 in.; red chalk drawing, retouched in red chalk with some red wash, heightened with white on paper

Bamboo after Wen Tong

Ke Jiusi; 3 ft. 6 23/64 in.x 1 ft. 6 47/64 in. (image); hanging scroll, ink on silk

Images of a Broken World

Thesis (Master's)--University of Washington, 2016-08

Accuracy of strain rate techniques for ientification of viability at dobutamine stress echo: A follow-up study after revascularization

Background. Myocardial viability (VM) assessment based on wall motion scoring (WMS) with dobutamine echo (DbE) is difficult and subjective. New quantitative techniques such as strain rate imaging (SRI) correspond with isotopic techniques but their ability to predict functional recovery (FR) after revascularization is unclear. Methods. Stable post-MI pts (n=43, age 63±9, EF 36±6%) underwent SRI during DbE. WMS evidence of VM was based on lowdose augmentation at DbE. SR, end-systolic strain (ESS), post-systolic strain (PSS) and timing were analyzed at rest and low dose in abnormal segts. Pts were followed for 9±12 months; FR was defined as segt improvement on post-revascularization images. Results: Of 180 segts with abnormal resting function, 83 showed FR and 97 did not. Resting parameters were not predictive of recovery; resting post-systolic shortening had a sensitivity and specificity

Dynamic measurement of accommodative responses while viewing stereoscopic images

Using video refraction accommodative and convergence dynamic responses were measured to stepped changes in convergence stimuli with unchanged accommodative stimuli (conflicting stereoscopic image) and compared with responses to non-conflicting target stimuli. Three targets were used that varied in their spatial frequency components. An accommodative transient overshoot was evident in four out of seven subjects for only conflicting stimuli. One showed accommodative and convergence oscillation probably due to difficulty in fusing the stereoscopic target when it had a higher spatial component, however, this oscillation diminished when the target was spatial low-pass filtered. We hypothesise that transient responses to step stimuli is initiated by convergence-driven accommodation and subsequently followed by slower fine-control of accommodation modulated by the amount of blur. Inter-subject differences in convergence-driven accommodation may also be a factor to consider. For stereoscopic stimuli, it is proposed that the increase in blur immediately after the onset of the accommodative response inhibits cessation of the response.

Images of pharmacy as a career: a survey among groups of year 12 students at school

To explore the images and perceptions of pharmacy with potential applicants to undergraduate pharmacy education. There is currently considerable interest in the UK in studying aspects of the pharmacy profession because of the changing pharmacy agenda and the need to understand the workforce and its motivations. Aim: To explore the images and perceptions of pharmacy with potential applicants to undergraduate pharmacy education. Design: Four interactive focus groups involving 40 volunteer year 12 students (age 17). The focus group theme plan was designed after a review of relevant literature. A novel approach was employed using photographic images of pharmacists and doctors in varied settings. Subjects and setting: The research was carried out in six schools in the West Midlands, UK. Results: The students presented a rather negative image of pharmacy as a boring occupation in a laboratory or the back of a shop. Most had little idea of what pharmacists actually do. Unlike nursing, they were unaware of positive role models in the media. The small number who did have a realistic idea of pharmacy based it on their previous work experience in pharmacy. Conclusions: The focus group technique is useful for exploring hitherto untapped perceptions of the profession. Undertaking research with year 12 students provided some useful insights into the ways in which pharmacy as a profession is perceived. Although no claims to generalisability are made here, the results were fed into the design of quantitative surveys. The somewhat negative image presented suggests that the profession has more work to do in marketing itself to young people as a potential career choice.

Coarse threat images reveal theta oscillations in the amygdala: a magnetoencephalography study

Neurocognitive models propose a specialized neural system for processing threat-related information, in which the amygdala plays a key role in the analysis of threat cues. fMRI research indicates that the amygdala is sensitive to coarse visual threat relevant information—for example, low spatial frequency (LSF) fearful faces. However, fMRI cannot determine the temporal or spectral characteristics of neural responses. Consequently, we used magnetoencephalography to explore spatiotemporal patterns of activity in the amygdala and cortical regions with blurry (LSF) and normal angry, fearful, and neutral faces. Results demonstrated differences in amygdala activity between LSF threat-related and LSF neutral faces (50-250 msec after face onset). These differences were evident in the theta range (4-8 Hz) and were accompanied by power changes within visual and frontal regions. Our results support the view that the amygdala is involved in the early processing of coarse threat related information and that theta is important in integrating activity within emotion-processing networks.

Motion correction algorithm of lung tumors for respiratory gated PET images

Respiratory gating in lung PET imaging to compensate for respiratory motion artifacts is a current research issue with broad potential impact on quantitation, diagnosis and clinical management of lung tumors. However, PET images collected at discrete bins can be significantly affected by noise as there are lower activity counts in each gated bin unless the total PET acquisition time is prolonged, so that gating methods should be combined with imaging-based motion correction and registration methods. The aim of this study was to develop and validate a fast and practical solution to the problem of respiratory motion for the detection and accurate quantitation of lung tumors in PET images. This included: (1) developing a computer-assisted algorithm for PET/CT images that automatically segments lung regions in CT images, identifies and localizes lung tumors of PET images; (2) developing and comparing different registration algorithms which processes all the information within the entire respiratory cycle and integrate all the tumor in different gated bins into a single reference bin. Four registration/integration algorithms: Centroid Based, Intensity Based, Rigid Body and Optical Flow registration were compared as well as two registration schemes: Direct Scheme and Successive Scheme. Validation was demonstrated by conducting experiments with the computerized 4D NCAT phantom and with a dynamic lung-chest phantom imaged using a GE PET/CT System. Iterations were conducted on different size simulated tumors and different noise levels. Static tumors without respiratory motion were used as gold standard; quantitative results were compared with respect to tumor activity concentration, cross-correlation coefficient, relative noise level and computation time. Comparing the results of the tumors before and after correction, the tumor activity values and tumor volumes were closer to the static tumors (gold standard). Higher correlation values and lower noise were also achieved after applying the correction algorithms. With this method the compromise between short PET scan time and reduced image noise can be achieved, while quantification and clinical analysis become fast and precise.

Digital signal processing implementation for near real-time wavelet transformation system for binary images

Communication has become an essential function in our civilization. With the increasing demand for communication channels, it is now necessary to find ways to optimize the use of their bandwidth. One way to achieve this is by transforming the information before it is transmitted. This transformation can be performed by several techniques. One of the newest of these techniques is the use of wavelets. Wavelet transformation refers to the act of breaking down a signal into components called details and trends by using small waveforms that have a zero average in the time domain. After this transformation the data can be compressed by discarding the details, transmitting the trends. In the receiving end, the trends are used to reconstruct the image. In this work, the wavelet used for the transformation of an image will be selected from a library of available bases. The accuracy of the reconstruction, after the details are discarded, is dependent on the wavelets chosen from the wavelet basis library. The system developed in this thesis takes a 2-D image and decomposes it using a wavelet bank. A digital signal processor is used to achieve near real-time performance in this transformation task. A contribution of this thesis project is the development of DSP-based test bed for the future development of new real-time wavelet transformation algorithms.

Motion Correction Algorithm of Lung Tumors for Respiratory Gated PET Images

Respiratory gating in lung PET imaging to compensate for respiratory motion artifacts is a current research issue with broad potential impact on quantitation, diagnosis and clinical management of lung tumors. However, PET images collected at discrete bins can be significantly affected by noise as there are lower activity counts in each gated bin unless the total PET acquisition time is prolonged, so that gating methods should be combined with imaging-based motion correction and registration methods. The aim of this study was to develop and validate a fast and practical solution to the problem of respiratory motion for the detection and accurate quantitation of lung tumors in PET images. This included: (1) developing a computer-assisted algorithm for PET/CT images that automatically segments lung regions in CT images, identifies and localizes lung tumors of PET images; (2) developing and comparing different registration algorithms which processes all the information within the entire respiratory cycle and integrate all the tumor in different gated bins into a single reference bin. Four registration/integration algorithms: Centroid Based, Intensity Based, Rigid Body and Optical Flow registration were compared as well as two registration schemes: Direct Scheme and Successive Scheme. Validation was demonstrated by conducting experiments with the computerized 4D NCAT phantom and with a dynamic lung-chest phantom imaged using a GE PET/CT System. Iterations were conducted on different size simulated tumors and different noise levels. Static tumors without respiratory motion were used as gold standard; quantitative results were compared with respect to tumor activity concentration, cross-correlation coefficient, relative noise level and computation time. Comparing the results of the tumors before and after correction, the tumor activity values and tumor volumes were closer to the static tumors (gold standard). Higher correlation values and lower noise were also achieved after applying the correction algorithms. With this method the compromise between short PET scan time and reduced image noise can be achieved, while quantification and clinical analysis become fast and precise.