1887 Medics Reunion 1912 (UM Medical Class of 1887)

made two scans before donor took back original. First is straight scanner settings, second (with addition of "alt" to file name) is Karen Wight's slight color correction to scanner

View of first Medical School building and laboratory, ca. 1861

2 scans, 1of2 = entire page with inscription, 2of2 = image alone

Medical Graduating Class, University of Michigan, 1865-1866 session

Front scanned with and without mount, reverse identifies individuals on front... 1of3, 2of3, 3of3

Attitudes toward psychiatry among students entering medical school

Objective: To survey the attitudes of Australian medical students to determine their views about the relative attractiveness of psychiatry as a career compared with other specialities, and against findings from a North American study. Method: We surveyed 655 first-year medical students attending six Australian Universities. Results: Responses indicated that Australian medical students view psychiatry as distinctly less 'attractive' than other career options, as reported in the North American sample. In comparison with other disciplines, psychiatry was regarded as more interesting and intellectually challenging, but also as lacking a scientific foundation, not being enjoyable and failing to draw on training experiences. Conclusion: Our findings suggest that psychiatry has an image problem that is widespread, reflecting Community perceptions and the specialist interests of medical students on recruitment. If psychiatry is to improve its 'attractiveness' as a career option, identified image problems need to be corrected and medical student selection processes re-considered.

Method for a detailed measurement of image intensity nonuniformity in magnetic resonance imaging

In magnetic resonance imaging (MRI), the MR signal intensity can vary spatially and this spatial variation is usually referred to as MR intensity nonuniformity. Although the main source of intensity nonuniformity arises from B, inhomogeneity of the coil acting as a receiver and/or transmitter, geometric distortion also alters the MR signal intensity. It is useful on some occasions to have these two different sources be separately measured and analyzed. In this paper, we present a practical method for a detailed measurement of the MR intensity nonuniformity. This method is based on the same three-dimensional geometric phantom that was recently developed for a complete measurement of the geometric distortion in MR systems. In this paper, the contribution to the intensity nonuniformity from the geometric distortion can be estimated and thus, it provides a mechanism for estimation of the intensity nonuniformity that reflects solely the spatial characteristics arising from B-1. Additionally, a comprehensive scheme for characterization of the intensity nonuniformity based on the new measurement method is proposed. To demonstrate the method, the intensity nonuniformity in a 1.5 T Sonata MR system was measured and is used to illustrate the main features of the method. (c) 2005 American Association of Physicists in Medicine.

Media influence on the body image of children and adolescents

To study the media messages portrayed to children, 925 students, from 9 to up to 14 years of age, completed “The Sociocultural Influences Questionnaire.” The media section is the focus of this paper, and the responses from three questions were selected to examine the media's influence to be slimmer, increase weight, or increase muscle size. While the girls and boys exhibited different levels of agreement with each media influence, both genders disagreed that media messages were implying they should gain weight. This is in agreement with the belief that the media perpetuates the ideal of thinness and there is a negative stigma associated with being overweight.

A fuzzy approach to texture segmentation

The texture segmentation techniques are diversified by the existence of several approaches. In this paper, we propose fuzzy features for the segmentation of texture image. For this purpose, a membership function is constructed to represent the effect of the neighboring pixels on the current pixel in a window. Using these membership function values, we find a feature by weighted average method for the current pixel. This is repeated for all pixels in the window treating each time one pixel as the current pixel. Using these fuzzy based features, we derive three descriptors such as maximum, entropy, and energy for each window. To segment the texture image, the modified mountain clustering that is unsupervised and fuzzy c-means clustering have been used. The performance of the proposed features is compared with that of fractal features.