Radiographic examination of the chests of premature newborn infants is complicated by the small size and poor object contrast of the structures to be evaluated. Magnification radiography can improve image quality significantly in this situation. Unfortunately, high-quality magnification radiography requires dedicated microfocus equipment that is not available in most neonatal intensive care units. The use of standard-focus x-ray tubes (up to 1 mm focal spot size) for moderate magnification radiography (1.5 times) by using the anode side of the x-ray field of the standard mobile x-ray unit is proposed. In addition to the cost advantage of using existing standard mobile x-ray equipment, the high tube current allows for short exposure times and long target-film distances. This reduces most motion unsharpness and allows for a large air gap that results in improved image contrast. Although focal spot size at the anode side of the field is smaller in only one dimension, the magnification radiographs are superior to those obtained using the central part of the x-ray beam and superior to standard contact radiographs using the same equipment. Improvement in image quality is due primarily to decreased noise and improved contrast in the magnified image.

Download full-text PDF

Source
http://dx.doi.org/10.2214/ajr.141.4.665DOI Listing

Publication Analysis

Top Keywords

magnification radiography
16
standard-focus x-ray
8
x-ray tubes
8
image quality
8
focal spot
8
spot size
8
anode side
8
standard mobile
8
mobile x-ray
8
x-ray
6

Similar Publications

Population receptive field (pRF) mapping is a quantitative functional MRI (fMRI) analysis method that links visual field positions with specific locations in the visual cortex. A common preprocessing step in pRF analyses involves projecting volumetric fMRI data onto the cortical surface, typically leading to upsampling of the data. This process may introduce biases in the resulting pRF parameters.

View Article and Find Full Text PDF

Breast Cancer Histopathological Image Classification Based on Graph Assisted Global Reasoning.

J Imaging Inform Med

January 2025

Fujian Medical University, 1 Xue Yuan Road, University Town, Fujian, 350122, China.

Breast cancer ranks as the most prevalent cancer among women globally. Histopathological image analysis stands as one of the most reliable methods for tumor detection. This study aims to utilize deep learning to extract histopathological features and automatically identify tumor information, thereby assisting doctors in high-precision pathological diagnosis.

View Article and Find Full Text PDF

Background: Pit pattern diagnosis using crystal violet staining for colorectal tumors is useful for qualitative and depth diagnosis. However, due to its reported carcinogenic potential, the use of crystal violet has been restricted. This study was aimed at investigating the efficacy of texture and color enhancement imaging (TXI) magnification in pit pattern diagnosis.

View Article and Find Full Text PDF

Background: The primary endpoint in diabetes-related foot ulcer (DFU) trials is often time to healing, defined as complete re-epithelialisation with absence of drainage, requiring clinical expert assessment as the gold standard. Central blinded photograph review for confirmation of healing is increasingly being undertaken for internal validity. The Diabetic Foot Ulcer Photography study aims to determine the agreement between blinded independent review panel members for assessing ulcer healing status in patients with DFUs.

View Article and Find Full Text PDF

To investigate the clinicopathological characteristics, immunophenotypes, diagnostic criteria and differential diagnosis of atrophic kidney-like lesion (AKLL). Three cases of AKLL were collected from April 2021 to October 2023 at the Xiangya Hospital of Central South University, Changsha, Zhejiang Provincial People's Hospital, Hangzhou and Ningbo Clinical Pathology Diagnosis Center, Ningbo, China. The clinical, morphological, and immunohistochemical characteristics were analyzed.

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!