Visual estimation of lengths and angles: how accurate are we?

Singapore Med J

Department of Hand and Reconstructive Microsurgery, National University Hospital; Department of Orthopaedic Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Published: May 2023

Download full-text PDF

Source
http://dx.doi.org/10.4103/singaporemedj.SMJ-2021-123DOI Listing

Publication Analysis

Top Keywords

visual estimation
4
estimation lengths
4
lengths angles
4
angles accurate
4
accurate we?
4
visual
1
lengths
1
angles
1
accurate
1
we?
1

Similar Publications

Assessment of Emphysema on X-ray Equivalent Dose Photon-Counting Detector CT: Evaluation of Visual Scoring and Automated Quantification Algorithms.

Invest Radiol

October 2024

From the Institute for Diagnostic and Interventional Radiology, University Hospital Zurich, University Zurich, Zurich, Switzerland (B.K., F.E., J.K., T.F., L.J.); Advanced Radiology Center, Department of Diagnostic Imaging and Oncological Radiotherapy, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy (C.S., A.R.L.); and Section of Radiology, Department of Radiological and Hematological Sciences, Università Cattolica del Sacro Cuore, Rome, Italy (A.R.L.).

Objectives: The aim of this study was to evaluate the feasibility and efficacy of visual scoring, low-attenuation volume (LAV), and deep learning methods for estimating emphysema extent in x-ray dose photon-counting detector computed tomography (PCD-CT), aiming to explore future dose reduction potentials.

Methods: One hundred one prospectively enrolled patients underwent noncontrast low- and chest x-ray dose CT scans in the same study using PCD-CT. Overall image quality, sharpness, and noise, as well as visual emphysema pattern (no, trace, mild, moderate, confluent, and advanced destructive emphysema; as defined by the Fleischner Society), were independently assessed by 2 experienced radiologists for low- and x-ray dose images, followed by an expert consensus read.

View Article and Find Full Text PDF

Background: Huntington's disease (HD) is a rare neurodegenerative disorder caused by an expansion of the CAG trinucleotide repeat in the huntingtin gene which encodes the mutant huntingtin protein (mHTT) that is associated with HD-related neuropathophysiology. Noninvasive visualization of mHTT aggregates in the brain, with positron emission tomography (PET), will allow to reliably evaluate the efficacy of therapeutic interventions in HD. This study aimed to assess the radiation burden of [F]CHDI-650, a novel fluorinated mHTT radioligand, in humans based on both in vivo and ex vivo biodistribution in mice and subsequent determination of dosimetry for dosing in humans.

View Article and Find Full Text PDF

This research introduces BAE-ViT, a specialized vision transformer model developed for bone age estimation (BAE). This model is designed to efficiently merge image and sex data, a capability not present in traditional convolutional neural networks (CNNs). BAE-ViT employs a novel data fusion method to facilitate detailed interactions between visual and non-visual data by tokenizing non-visual information and concatenating all tokens (visual or non-visual) as the input to the model.

View Article and Find Full Text PDF

Objectives: The objectives of the study were to obtain the current estimates of cataract surgical coverage (CSC) at varying thresholds of vision and gender variations across districts in diverse Indian populations aged ≥50 years.

Methods: Data collected from the national blindness survey from 31 Indian districts between 2015 and 2019 were analyzed. CSC at varying thresholds of presenting visual acuity <3/60, <6/60, and <6/18 were estimated along with gender variations across districts in population ≥50 years of age.

View Article and Find Full Text PDF

Visualization and Estimation of 0D to 1D Nanostructure Size by Photoluminescence.

Nanomaterials (Basel)

December 2024

Institute of Photonics and Nanotechnology, Faculty of Physics, Vilnius University, Saulėtekio Ave. 3, 10257 Vilnius, Lithuania.

We elaborate a method for determining the 0D-1D nanostructure size by photoluminescence (PL) emission spectrum dependence on the nanostructure dimensions. As observed, the high number of diamond-like carbon nanocones shows a strongly blue-shifted PL spectrum compared to the bulk material, allowing for the calculation of their top dimensions of 2.0 nm.

View Article and Find Full Text PDF

Want 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!