Effect of irradiation distance on image contrast in epi-optoacoustic imaging of human volunteers

In combined clinical optoacoustic (OA) and ultrasound (US) imaging, epi-mode irradiation and detection integrated into one single probe offers flexible imaging of the human body. The imaging depth in epi-illumination is, however, strongly affected by clutter. As shown in previous phantom experiments, the location of irradiation plays an important role in clutter generation. We investigated the influence of the irradiation geometry on the local image contrast of clinical images, by varying the separation distance between the irradiated area and the acoustic imaging plane of a linear ultrasound transducer in an automated scanning setup. The results for different volunteers show that the image contrast can be enhanced on average by 25% and locally by more than a factor of two, when the irradiated area is slightly separated from the probe. Our findings have an important impact on the design of future optoacoustic probes for clinical application.

Diagnostic confidence and image quality of CT pulmonary angiography at 100 kVp in overweight and obese patients.

AIM To compare image quality and diagnostic confidence of 100 kVp CT pulmonary angiography (CTPA) in patients with body weights (BWs) below and above 100kg. MATERIALS AND METHODS The present retrospective study comprised 216 patients (BWs of 75-99kg, 114 patients; 100-125kg, 88 patients; >125kg, 14 patients), who received 100 kVp CTPA to exclude pulmonary embolism. The attenuation was measured and the contrast-to-noise ratio (CNR) was calculated in the pulmonary trunk. Size-specific dose estimates (SSDEs) were evaluated. Three blinded radiologists rated subjective image quality and diagnostic confidence. Results between the BW groups and between three body mass index (BMI) groups (BMI <25kg/m(2), BMI = 25-29.9kg/m(2), and BMI ≥30kg/m(2), i.e., normal weight, overweight, and obese patients) were compared using the Kruskal-Wallis test. RESULTS Vessel attenuation was higher and SDDE was lower in the 75-99kg group than at higher BWs (p-values between <0.001 and 0.03), with no difference between the 100-125 and >125kg groups (p = 0.892 and 1). Subjective image quality and diagnostic confidence were not different among the BW groups (p = 0.225 and 1). CNR was lower (p < 0.006) in obese patients than in normal weight or overweight subjects. Diagnostic confidence was not different in the BMI groups (p = 0.105). CONCLUSION CTPA at 100 kVp tube voltage can be used in patients weighing up to 125kg with no significant deterioration of subjective image quality and confidence. The applicability of 100 kVp in the 125-150kg BW range needs further testing in larger collectives.

Shape model, reference system definition, and cartographic mapping standards for comet 67P/Churyumov-Gerasimenko Stereo-photogrammetric analysis of Rosetta/OSIRIS image data

We analyzed more than 200 OSIRIS NAC images with a pixel scale of 0.9-2.4 m/pixel of comet 67P/Churyumov-Gerasimenko (67P) that have been acquired from onboard the Rosetta spacecraft in August and September 2014 using stereo-photogrammetric methods (SPG). We derived improved spacecraft position and pointing data for the OSIRIS images and a high-resolution shape model that consists of about 16 million facets (2 m horizontal sampling) and a typical vertical accuracy at the decimeter scale. From this model, we derive a volume for the northern hemisphere of 9.35 km(3) +/- 0.1 km(3). With the assumption of a homogeneous density distribution and taking into account the current uncertainty of the position of the comet's center-of-mass, we extrapolated this value to an overall volume of 18.7 km(3) +/- 1.2 km(3), and, with a current best estimate of 1.0 X 10(13) kg for the mass, we derive a bulk density of 535 kg/m(3) +/- 35 kg/m(3). Furthermore, we used SPG methods to analyze the rotational elements of 67P. The rotational period for August and September 2014 was determined to be 12.4041 +/- 0.0004 h. For the orientation of the rotational axis (z-axis of the body-fixed reference frame) we derived a precession model with a half-cone angle of 0.14 degrees, a cone center position at 69.54 degrees/64.11 degrees (RA/Dec J2000 equatorial coordinates), and a precession period of 10.7 days. For the definition of zero longitude (x-axis orientation), we finally selected the boulder-like Cheops feature on the big lobe of 67P and fixed its spherical coordinates to 142.35 degrees right-hand-rule eastern longitude and -0.28 degrees latitude. This completes the definition of the new Cheops reference frame for 67P. Finally, we defined cartographic mapping standards for common use and combined analyses of scientific results that have been obtained not only within the OSIRIS team, but also within other groups of the Rosetta mission.

A study of feature combination for vehicle detection based on image processing

Video analytics play a critical role in most recent traffic monitoring and driver assistance systems. In this context, the correct detection and classification of surrounding vehicles through image analysis has been the focus of extensive research in the last years. Most of the pieces of work reported for image-based vehicle verification make use of supervised classification approaches and resort to techniques, such as histograms of oriented gradients (HOG), principal component analysis (PCA), and Gabor filters, among others. Unfortunately, existing approaches are lacking in two respects: first, comparison between methods using a common body of work has not been addressed; second, no study of the combination potentiality of popular features for vehicle classification has been reported. In this study the performance of the different techniques is first reviewed and compared using a common public database. Then, the combination capabilities of these techniques are explored and a methodology is presented for the fusion of classifiers built upon them, taking into account also the vehicle pose. The study unveils the limitations of single-feature based classification and makes clear that fusion of classifiers is highly beneficial for vehicle verification.

Human Motion Analysis Based on Sequential Modeling of Radar Signal and Stereo Image Features

Falls are one of the greatest threats to elderly health in their daily living routines and activities. Therefore, it is very important to detect falls of an elderly in a timely and accurate manner, so that immediate response and proper care can be provided, by sending fall alarms to caregivers. Radar is an effective non-intrusive sensing modality which is well suited for this purpose, which can detect human motions in all types of environments, penetrate walls and fabrics, preserve privacy, and is insensitive to lighting conditions. Micro-Doppler features are utilized in radar signal corresponding to human body motions and gait to detect falls using a narrowband pulse-Doppler radar. Human motions cause time-varying Doppler signatures, which are analyzed using time-frequency representations and matching pursuit decomposition (MPD) for feature extraction and fall detection. The extracted features include MPD features and the principal components of the time-frequency signal representations. To analyze the sequential characteristics of typical falls, the extracted features are used for training and testing hidden Markov models (HMM) in different falling scenarios. Experimental results demonstrate that the proposed algorithm and method achieve fast and accurate fall detections. The risk of falls increases sharply when the elderly or patients try to exit beds. Thus, if a bed exit can be detected at an early stage of this motion, the related injuries can be prevented with a high probability. To detect bed exit for fall prevention, the trajectory of head movements is used for recognize such human motion. A head detector is trained using the histogram of oriented gradient (HOG) features of the head and shoulder areas from recorded bed exit images. A data association algorithm is applied on the head detection results to eliminate head detection false alarms. Then the three dimensional (3D) head trajectories are constructed by matching scale-invariant feature transform (SIFT) keypoints in the detected head areas from both the left and right stereo images. The extracted 3D head trajectories are used for training and testing an HMM based classifier for recognizing bed exit activities. The results of the classifier are presented and discussed in the thesis, which demonstrates the effectiveness of the proposed stereo vision based bed exit detection approach.

High speed image techniques for construction safety net monitoring in outdoor conditions

Póster presentado en SPIE Photonics Europe, Brussels, 16-19 April 2012.

Opinions about judo athletes’ image

OBJECTIVE: The present study aimed to evaluate opinions of persons who are involved with judo about judo athletes’ personality. METHODS: For this purpose 132 coaches, athletes, students of Department of Physical Education and Sport Science (DEPESS) and students of military school answered to a 35-item questionnaire describing their image towards judo athletes, in regard to social, volition, active, physical and emotional nature. RESULTS: statistical analysis showed that all the groups rated from the average, to somewhat strong and, also, to strong, while coaches rated higher to the most items. More specifically, one way ANOVA revealed significant differences, with coaches rating significantly higher, in the items of “being healthy” in physical nature (F=2.85, p<0.05), in items “having proper manner” and “being sincere” in social nature, (F=3.41, p<0.05 and F=3.09, p<0.05 respectively), “being positive” in active nature (F=3.95, p<0.05). Also in the items “being mild” (F=3.04, p<0.05), “being cheerful” (F=3.60, p<0.05) and “being carefree” (F=2.98, p<0.05) in emotional nature. Moreover, students of military school rating significantly higher in the item of “being cautious” in active nature (F=2.51, p<0.05) and in the item of “having power of concentration” in active nature both students of military school and of DEPESS rating significantly higher (F=5.66, p<0.01). CONCLUSIONS: The high rating in the most items might be due to the nature of the attitudes provided and cultured during the judo lessons, practice time and matches. Moreover, the differences between the groups for the coaches group might be observed because they have the most real image for judo athletes.

Avaliação da composição corporal e do estado nutricional em doentes com neoplasias gastrointestinais : bioimpedância elétrica e tomografia axial computorizada, que correlação?

Tese de mestrado, Nutrição Clínica, Faculdade de Medicina, Universidade de Lisboa, 2015

Avaliação nutricional e antropométrica de praticantes de exercício físico em ginásio

A preocupação acrescida com a condição e aparência física, refletem-se em cuidados com o estado de saúde e bem-estar e são, nos últimos anos, responsáveis pela expansão dos ginásios e health clubs.Mas, atividade física e a alimentação estão intimamente ligadas, tanto no que respeita à estética como também, com maiores preocupações, no que respeita à saúde. Daí que as duas vertentes estejam ligadas à imagem de pessoas saudáveis e vigorosas. Na verdade, a capacidade de rendimento do organismo melhora com a nutrição adequada. A avaliação da composição corporal é um importante aspeto na determinação da condição física e permite-nos observar as alterações fisiológicas produzidas pelos programas de atividade física e/ou alimentares, oferecendo informações quanto a sua eficiência ou possíveis correções a serem efetuadas. Pretendeu-se com o presente estudo caracterizar os hábitos alimentares e a composição corporal dos indivíduos praticantes de exercício físico num ginásio do Concelho de Coimbra. A amostra foi constituída por 50 indivíduos, 22 do sexo masculino e 28 do sexo feminino, com idades compreendidas entre os 18 e os 57 anos. Estes indivíduos têm em comum o facto de praticarem exercício físico num mesmo ginásio, de uma forma sistemática há pelo menos 6 meses. Para a caracterização dos hábitos de AF dos participantes no estudo foi utilizada a versão curta do International Physical Activity Questionnaire (IPAQ). Para avaliação nutricional recorreu-se ao Questionário Semiquantitativo de Frequência Alimentar (QSFA), elaborado pelo Serviço de Higiene e Epidemiologia da Faculdade de Medicina da Universidade do Porto. A conversão dos alimentos em nutrientes foi realizada recorrendo ao programa informático Food Processor Plus ® versão 7.0. Foram ainda avaliados os seguintes parâmetros antropométricos: peso, altura, perímetro abdominal, IMC, massa gorda e massa magra. As análises estatísticas foram efetuadas com recurso ao Programa Estatístico SPSS (Statistical Package for the Sciences) para o Windows, versão 20.0. O nível de significância estatística foi mantida em 5% (p<0,05). A análise dos dados permitiu retirar as seguintes conclusões: Os frequentadores de ginásio são na sua maioria indivíduos do sexo feminino (56%), jovens com uma idade média de 27±7 anos. A maioria dos participantes do estudo praticava EF (exercício físico) há 39 meses, no entanto no grupo existe uma grande variabilidade, existindo indivíduos que praticam EF há 6 meses, e outros que o fazem há 180 meses. Praticam EF com uma frequência média de 3,5±1,3 sessões/semana a que corresponde uma prática de EF 6,40±3,2 h/semana. A maioria apresentava um Perímetro Abdominal (PA) de 85,2±6,3 cm, Índice de Massa Corporal (IMC) normal (23,1± 2,6 kg/m2), valores de Massa Gorda (MG) (23,9%) e de Massa Muscular (MM) de 34,6±7,9%. Observou-se uma diminuição da MG com o tempo de prática de exercício de 25,3% (praticantes entre 6-12 meses) vs 20,9% (praticantes> 48 meses). Esta influência temporal, embora sem significado estatístico, verifica-se também relativamente ao perímetro abdominal e IMC, embora neste último numa razão inversa, caracterizada pelo seu aumento. O tipo de exercício praticado influencia a composição corporal: praticantes de exercício aeróbio apresentam um perímetro abdominal inferior (82,3±6,0 cm) aos praticantes de outro tipo de exercícios porém acompanhado de uma percentagem de massa gorda superior (29,4±6,0%).Os praticantes de exercício de resistência apresentam valores de MG de 16,0±7,4%. No estudo por nós realizado, constatou-se inadequação na quantidade energética consumida, face às necessidades efetivas da amostra. Embora a ingestão de hidratos de carbono, de fibra e de lípidos se apresente dentro dos limites recomendados a ingestão de proteína ultrapassa os valores recomendados.Os resultados obtidos mostram que o tipo de exercício bem como o tempo de prática de exercício influenciam a composição corporal. Verificou-se ainda que a alimentação dos participantes no estudo não é adequada do ponto de vista nutricional e para além disso os hábitos nutricionais não parecem influir na composição corporal da amostra. Mais estudos serão necessários para que os hábitos alimentares dos praticantes de exercício em ginásios e health clubs sejam bem conhecidos e os profissionais da área tenham mais informações e possam orientar melhor os praticantes de exercício físico regular em ginásios e health clubs de modo a otimizar os resultados pretendidos através de um aconselhamento nutricional individualizado.

Marion Body UM football, rushing punter

[returning interception?]

Marion Body UM football,

[returning interception?]

trainer Jim Hunt and Ron Kramer, UM Football, 1955, Hunt applying fiberglass body protector for Kramer's injured ribs.

[from article that appeared in Journal of Physical Education, Nov-Dec. 1956]