To Be Thin or To Be "Buff:" Relations Among Appearance-Related Feedback and the Body Images Concerns of Females and Males

2000 ◽  
Author(s):  
Rhonda M. Passino ◽  
Carrie L. Giant ◽  
Lesa Rae Vartanian
Keyword(s):  
The Body ◽  
Body Images

Reviews

Screen Bodies ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 86-98
Author(s):  
Josh Morrison ◽  
Sylvie Bissonnette ◽  
Karen J. Renner ◽  
Walter S. Temple
Keyword(s):  
New York ◽  
New Media ◽  
The Body ◽  
Media Art ◽  
University Of Minnesota ◽  
Body Images ◽  
New Media Art

Kate Mondloch, A Capsule Aesthetic: Feminist Materialisms in New Media Art (Minneapolis: University of Minnesota Press, 2018), 151 pp. ISBN: 9781517900496 (paperback, $27) Alberto Brodesco and Federico Giordano, editors, Body Images in the Post-Cinematic Scenario: The Digitization of Bodies (Milan: Mimesis International, 2017). 195 pp., ISBN: 9788869771095 (paperback, $27.50) Cynthia J. Miller and A. Bowdoin Van Riper, editors, What’s Eating You? Food and Horror on Screen (New York: Bloomsbury Academic, 2017). 370pp., ISBN: 9781501322389 (hardback, $105); ISBN: 9781501343964 (paperback, $27.96); ISBN: 9781501322419 (ebook, $19.77) Kaya Davies Hayon, Sensuous Cinema: The Body in Contemporary Maghrebi Cinema (New York: Bloomsbury, 2018). 181pp., ISBN: 9781501335983 (hardback, $107.99)

scholarly journals A Multi-Channel Uncertainty-Aware Multi-Resolution Network for MR to CT Synthesis

2021 ◽  
Vol 11 (4) ◽  
pp. 1667
Author(s):  
Kerstin Klaser ◽  
Pedro Borges ◽  
Richard Shaw ◽  
Marta Ranzini ◽  
Marc Modat ◽  
...  
Keyword(s):  
Medical Image Analysis ◽  
Absolute Error ◽  
Magnetic Resonance Images ◽  
The Body ◽  
Whole Body ◽  
Image Size ◽  
Body Images ◽  
Image Translation ◽  
The Mean ◽  
Synthetic Ct

Synthesising computed tomography (CT) images from magnetic resonance images (MRI) plays an important role in the field of medical image analysis, both for quantification and diagnostic purposes. Convolutional neural networks (CNNs) have achieved state-of-the-art results in image-to-image translation for brain applications. However, synthesising whole-body images remains largely uncharted territory, involving many challenges, including large image size and limited field of view, complex spatial context, and anatomical differences between images acquired at different times. We propose the use of an uncertainty-aware multi-channel multi-resolution 3D cascade network specifically aiming for whole-body MR to CT synthesis. The Mean Absolute Error on the synthetic CT generated with the MultiResunc network (73.90 HU) is compared to multiple baseline CNNs like 3D U-Net (92.89 HU), HighRes3DNet (89.05 HU) and deep boosted regression (77.58 HU) and shows superior synthesis performance. We ultimately exploit the extrapolation properties of the MultiRes networks on sub-regions of the body.

scholarly journals Actual, social and ideal body image in Mexican adolescents and their relation with body dissatisfaction: gender differences (Imagen corporal actual, social e ideal y su relación con el descontento corporal en adolescentes mexicanos: diferencias por género

Retos ◽  
2016 ◽  
pp. 189-192
Author(s):  
Armando Cocca ◽  
José René Blanco Ornelas ◽  
Jesús Enrique Peinado Pérez ◽  
Jesús Viciana Ramírez
Keyword(s):  
Body Dissatisfaction ◽  
Body Shape ◽  
Rating Scale ◽  
Total Sample ◽  
The Body ◽  
Body Images ◽  
School Students ◽  
Social Body ◽  
Environmental Pressures ◽  
Ideal Body

The purpose of the present study was to compare the perception of current (CBI), ideal (IBI), social body images (SBI), and body dissatisfaction (BD) by gender in Mexican primary and secondary school students. A total sample of 1,146 participants (550 girls and 596 boys) aged 11-16 participated in the study. All participants completed the Mexican computerized adaptation of the Contour Drawing Rating Scale. Results of one-way multivariate analysis of variance, followed by one-way univariate analyses of variance, showed that girls (ABI = 4.26; IBI = 3.53; SBI = 4.28; BD = 0.89) expressed a greater discrepancy between ideal and actual body shape, as well as lower scores of ideal body shape than boys (ABI = 4.28; IBI = 3.93; SBI = 4.31; BD = 0.61). However, no statistical differences were found between boys and girls in actual and social body shape. Although current and social body images are perceived in a similar way by adolescents in our sample regardless of gender, yet girls seem to be more responsive to social and environmental pressures related with body stereotype, this being reflected by a higher dissatisfaction and a thinner idealization of the body. Our findings suggest that we need to focus our attention on girls, especially in a phase of changes such as puberty, if we aim to design any intervention that could positively impact youth’s health through a proper body image.Resumen. El propósito de este estudio fue de comparar por género la percepción de la imagen corporal actual (CBI), ideal (IBI) y social (SBI), así como el descontento con el propio cuerpo (BD), en una muestra de estudiantes mexicanos de escuelas primarias y secundarias. Se seleccionó una muestra de 1.146 participantes (550 niñas y 596 niños) de entre 11 y 16 años de edad, que completaron la adaptación mexicana de la Contour Drawing Rating Scale. Los resultados de los análisis multivariados y univariados demuestran que las niñas (ABI = 4.26; IBI = 3.53; SBI = 4.28; BD = 0.89) sufren un mayor descontento corporal que los niños (ABI = 4.28; IBI = 3.93; SBI = 4.31; BD = 0.61), así como consideran que el cuerpo ideal sea mucho más delgado. No se encontraron diferencias significativas entre niños y niñas en la imagen corporal real y social. Aunque los adolescentes perciban de una manera similar su cuerpo independientemente del género, las niñas son más receptivas en lo que refiere a las presiones sociales del estereotipo corporal, reflejándose esto en un mayor descontento y en un ideal excesivamente magro de su cuerpo. Nuestros resultados sugieren la necesidad de enfocar la atención en las niñas, especialmente durante la pubertad, de cara a implementar intervenciones apropiadas que tengan un impacto real sobre la salud de los jóvenes a través de la construcción de una apropiada imagen corporal.

scholarly journals Visual body size adaptation and estimation of tactile distance

2020 ◽  
Author(s):  
Regine Zopf ◽  
Veronika Kosourikhina ◽  
Kevin R. Brooks ◽  
Vince Polito ◽  
Ian Stephen
Keyword(s):  
Body Size ◽  
Adaptation Effect ◽  
The Body ◽  
Size Perception ◽  
Visual Adaptation ◽  
Social Environments ◽  
Body Images ◽  
Tactile Stimuli ◽  
Before And After ◽  
Adaptation Effects

Estimating the size of bodies is crucial for interactions with physical and social environments. Body size perception is malleable and can be altered using visual adaptation paradigms. However, it is unclear whether such visual adaptation effects also transfer to other modalities and influence, for example, the perception of tactile distances. In this study we employed a visual adaptation paradigm. Participants were exposed to images of expanded or contracted versions of self- or other-identity bodies. Before and after this adaptation they were asked to manipulate the width of body images to appear as “normal” as possible. We replicated an effect of visual adaptation, such that the body size selected as most “normal” was larger after exposure to expanded and thinner after exposure to contracted adaptation stimuli. In contrast, we did not find evidence that this adaptation effect transfers to distance estimates for paired tactile stimuli delivered to the abdomen. A Bayesian analysis showed that our data provide moderate evidence that there is no effect of visual body size adaptation on the estimation of spatial parameters in a tactile task. This suggests that visual body size adaptation effects do not transfer to somatosensory body size representations.

Predicting human dimensions in body images for automatic generation of female pants patterns

2018 ◽  
Vol 89 (18) ◽  
pp. 3792-3801 ◽  
Author(s):  
Bingfei Gu ◽  
Xinhua Li ◽  
Yanhong Yan ◽  
Junqiang Su
Keyword(s):  
Prediction Models ◽  
Automatic Generation ◽  
Human Dimensions ◽  
Pattern Generation ◽  
The Body ◽  
Body Measurements ◽  
Body Images ◽  
Production Time ◽  
Body Dimensions ◽  
The Relationship

This study proposed a method on how to obtain and predict body measurements from frontal and side images of a subject for the individualized pattern generation of women's pants. According to the relationship between front and back patterns and a body torso, 32 important pattern dimensions relevant to certain body dimensions were determined by the graphic flattening method. For the body dimensions (such as perimeters) that could not be directly extracted from the body images, the prediction models were established based on the available width and depth measurements. The body measurements from the body images of 425 subjects were compared with the corresponding manual measurements, which showed a good correlation between the automated and manual measurements. The tried-on test showed that the pants made with the generated patterns demonstrated good fitting effect at the important characteristic landmarks of a participating subject. This method can accelerate the pattern-making process for women's pants based on body measurements, reducing human efforts, costs and production time.

Spect imaging of the serotonin transporter using a novel ligand - 123-I mZIENT - in human subjects - a dosimetry and biodisortribution study

2011 ◽  
Vol 26 (S2) ◽  
pp. 935-935
Author(s):  
R. Krishnadas ◽  
A. Nicol ◽  
S. Champion ◽  
S. Pimlott ◽  
J. Stehouwer ◽  
...  
Keyword(s):  
Healthy Volunteers ◽  
Gamma Camera ◽  
Human Subjects ◽  
The Body ◽  
Whole Body ◽  
Body Images ◽  
Promising Agent ◽  
Regional Brain ◽  
The Brain ◽  
Spect Images

Levels of serotonin in the body are regulated by the serotonin transporters (SERT), which are predominantly located on the presynaptic terminals of serotonin-containing neurons. Alterations in the density of SERT have been implicated in the pathophysiology of many neuropsychiatric disorders.AimTo evaluate 123-I mZIENT (2(S)-[(S)-2b-carbomethoxy-3b-[3′-((Z)-2-iodoethenyl)phenyl]nortropane), a novel radiopharmaceutical for imaging SERT. The bio-distribution of the radiopharmaceutical in humans was investigated and dosimetry performed.MethodsThe study includes three healthy volunteers and three patients receiving SSRIs. Whole body images obtained on a gamma camera at 10 minutes, 1, 2, 3, 6, 24 and 48 hours post administration. Dosimetry was performed. ROIs were drawn over the brain, heart, kidneys, liver, lungs, salivary glands, spleen, thyroid and intestines. Blood was sampled at 5, 15, & 30 minutes and 1, 2, 3, 6, 24 and 48 hours post administration. Urine was collected at 1, 2, 3, 4, 6, 24 and 48 hours. Brain SPECT images were obtained using a neuroSPECT scanner at 4 hours, evaluated visually and analysed using ROI analysis.ResultsHigh quality SPECT images can be obtained after 100–150 MBq 123-ImZEINT. Regional brain uptake was observed in midbrain and basal ganglia in healthy volunteers, consistent with the known distribution of SERT. Biodistribution images demonstrated highest uptake in the lungs, brain, liver and intestines. The effective dose was within range of other commonly used ligands and is acceptable for clinical imaging.Conclusion123-ImZIENT is a promising agent for imaging SERT in humans with acceptable dosimetry.

Sign in / Sign up

Export Citation Format

Share Document