Total body CT scanning may be utilized as a means of treatment planning for radiation therapy. Computer reconstruction of coronal and sagittal views from CT cross-sectional slices was accomplished by taking each of the cross-sectional images and placing them together in the specific order in the sequence in which they were scanned to form a cube. Once the cube is built, retrieving in the sagittal and coronal views is readily achieved.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1148/123.1.213 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Attix free-air chamber correction factors computed using EGSnrc.
Med Phys
January 2025
Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Background: A cylindrical free-air chamber, the Attix FAC, is used for absolute air-kerma measurements of low-energy photon beams at the University of Wisconsin Medical Radiation Research Center. Correction factors for air-kerma measurements of specific beams were determined in the 1990s. In order to measure air-kerma rates of beams in development, new correction factors must be computed.
View Article and Find Full Text PDFCan fundus features tell us something about 3D eye shape?
Ophthalmic Physiol Opt
January 2025
Robert O Curle Ophthalmology Suite, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK.
Purpose: To determine whether imaging features derived from fundus photographs contain 3D eye shape information beyond that available from spherical equivalent refraction (SER).
Methods: We analysed 99 eyes of 68 normal adults in the UK Biobank. An ellipsoid was fitted to the entire volume of each posterior eye (vitreous chamber without the lens)-segmented from magnetic resonance imaging of the brain.
Discontinuous named entities in clinical Text: A systematic literature review.
J Biomed Inform
January 2025
University of Manchester, United Kingdom.
Objective: Extracting named entities from clinical free-text presents unique challenges, particularly when dealing with discontinuous entities-mentions that are separated by unrelated words. Traditional NER methods often struggle to accurately identify these entities, prompting the development of specialised computational solutions. This paper systematically reviews and presents the methodologies developed for Discontinuous Named Entity Recognition in clinical texts, highlighting their effectiveness and the challenges they face.
View Article and Find Full Text PDFWhen bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute.
Neural Netw
January 2025
School of Cyber Science and Engineering, Xi'an Jiaotong University, China. Electronic address:
Detecting anomalies in attributed networks has become a subject of interest in both academia and industry due to its wide spectrum of applications. Although most existing methods achieve desirable performance by the merit of various graph neural networks, the way they bundle node-affiliated multidimensional attributes into a whole for embedding calculation hinders their ability to model and analyze anomalies at the fine-grained feature level. To characterize anomalies from each feature dimension, we propose Eagle, a deep framework based on bipartitE grAph learninG for anomaLy dEtection.
View Article and Find Full Text PDFComputational analysis of linear chain of holey nanographene and their molecular characterizations.
J Mol Model
January 2025
PG & Research Department of Mathematics, Sanatana Dharma College, Kerala University, Alappuzha, Kerala, 688003, India.
Holey nanographene, an allotrope of carbon arranged in two dimensions, has gained remarkable attention as a nanomaterial with several potential uses in numerous industries, such as electronics, energy storage, healthcare, and environmental cleanup, because of its high carrier mobility, flexibility, transparency, high surface area, conductivity, and chemical stability. The fundamental holey nanographene is assembled in a linear form to create the holey nanographene chain (HNC) that is being discussed. To fully utilize it in various applications, it is essential to comprehend the basic ideas guiding its behavior at the nanoscale; for that, we find various topological indices for this holey nanographene chain using the cut method.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!