Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Adipose tissue (1)
- Aged (1)
- Breast (1)
- Computer-assisted (1)
- Cost of operation (1)
-
- Cytology (1)
- Female (1)
- Hemoglobins (1)
- Hospital patients (1)
- Hospital utilization--Length of stay--Mathematical models (1)
- Hospitals--Planning (1)
- Humans (1)
- Image processing (1)
- Magnetic resonance imaging (1)
- Metabolism (1)
- Methods (1)
- Middle aged (1)
- Mining (1)
- Near-infrared (1)
- Noise control (1)
- Spectroscopy (1)
- Tomography (1)
- Publication Type
Articles 1 - 3 of 3
Full-Text Articles in Engineering
Imaging Breast Adipose And Fibroglandular Tissue Molecular Signatures By Using Hybrid Mri-Guided Near-Infrared Spectral Tomography, Ben Brooksby, Brian W. Pogue, Shudong Jiang, Hamid Dehghani, Subhadra Srinivasan, Christine Kogel, Tor D. Tosteson, John Weaver, Steven P. Poplack, Keith D. Paulsen
Imaging Breast Adipose And Fibroglandular Tissue Molecular Signatures By Using Hybrid Mri-Guided Near-Infrared Spectral Tomography, Ben Brooksby, Brian W. Pogue, Shudong Jiang, Hamid Dehghani, Subhadra Srinivasan, Christine Kogel, Tor D. Tosteson, John Weaver, Steven P. Poplack, Keith D. Paulsen
Dartmouth Scholarship
Magnetic resonance (MR)-guided near-infrared spectral tomography was developed and used to image adipose and fibroglandular breast tissue of 11 normal female subjects, recruited under an institutional review board-approved protocol. Images of hemoglobin, oxygen saturation, water fraction, and subcellular scattering were reconstructed and show that fibroglandular fractions of both blood and water are higher than in adipose tissue. Variation in adipose and fibroglandular tissue composition between individuals was not significantly different across the scattered and dense breast categories. Combined MR and near-infrared tomography provides fundamental molecular information about these tissue types with resolution governed by MR T1 images.
Analysis Of Patient Information: An Empirical Modeling Approach, Tony A. Murphy
Analysis Of Patient Information: An Empirical Modeling Approach, Tony A. Murphy
Theses and Dissertations
With rising costs and increasing complexities, many hospitals seek to better understand the intricate details of their operations. Increasingly, these organizations have a strong desire to accurately predict the resources required to effectively treat their patient load. This research investigates patient length-of-stay in a hospital neurological unit using an empirical modeling approach. Factors significantly affecting patient length of stay were identified and used to construct a regression model. The predictive model provides hospital decision makers with a compact tool to input what-if scenarios and predict future patient treatment lengths, thus, allowing the hospital to properly allocate resources.
Active Noise Control Of Stageloader Noise In Longwall Mining, Jeremy M. Slagley, Steven Guffey
Active Noise Control Of Stageloader Noise In Longwall Mining, Jeremy M. Slagley, Steven Guffey
Faculty Publications
With the large-scale mechanization inherent to the mining industry, noise-induced hearing loss remains a major concern. As part of on-going efforts to develop engineering controls to reduce noise levels in longwall mining, active noise control experiments were conducted above ground on a modified non-working stageloader. Recorded underground stageloader noise was broadcast into the above ground stageloader. The result was an average 7 dBA reduction when the active noise control was applied. These results suggest the possibility that active noise reduction can be a useful means to reduce stageloader noise if the control system can be made sufficiently rugged. The study …