Australasian Physical and Engineering Sciences in Medicine This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Instruments to measure environmental and personal radiofrequency-electromagnetic field exposures: an update
AbstractModern human populations are exposed to anthropogenic sources of radiofrequency-electromagnetic fields (RF-EMFs), primarily to telecommunication and broadcasting technologies. As a result, ongoing concerns from some members of the public have arisen regarding potential health effects following RF-EMF exposures. In order to monitor human RF-EMF exposures and investigate potential health effects, an objective assessment of RF-EMF exposures is necessary. Accurate dosimetry is essential for any investigation of potential associations between RF-EMF exposure and health effects in human populations. This review updates s...
Source: Australasian Physical and Engineering Sciences in Medicine - June 23, 2022 Category: Biomedical Engineering Source Type: research

Phantoms to simulate gastrointestinal artefact in MPI
(Source: Australasian Physical and Engineering Sciences in Medicine)
Source: Australasian Physical and Engineering Sciences in Medicine - June 23, 2022 Category: Biomedical Engineering Source Type: research

Performance evaluation of a visual guidance patient-controlled respiratory gating system for respiratory-gated magnetic-resonance image-guided radiation therapy
AbstractThe performance of a visual guidance patient-controlled (VG-PC) respiratory gating system for magnetic-resonance (MR) image-guided radiation therapy (MR-IGRT) was evaluated through a clinical trial of patients with either lung or liver cancer. Patients can voluntarily control their respiration utilizing the VG-PC respiratory gating system. The system enables patients to view near-real-time cine planar MR images projected inside the bore of MR-IGRT systems or an external screen. Twenty patients who had received stereotactic ablative radiotherapy (SABR) for lung or liver cancer were prospectively selected for this st...
Source: Australasian Physical and Engineering Sciences in Medicine - June 20, 2022 Category: Biomedical Engineering Source Type: research

Atrial fibrillation cardiac radioablation target visibility on magnetic resonance imaging
AbstractMagnetic resonance imaging (MRI) guided cardiac radioablation (CR) for atrial fibrillation (AF) is a promising treatment concept. However, the visibility of AF CR targets on MRI acquisitions requires further exploration and MRI sequence and parameter optimization has not yet been performed for this application. This pilot study explores the feasibility of MRI-guided tracking of AF CR targets by evaluating AF CR target visualization on human participants using a selection of 3D and 2D MRI sequences.MRI datasets were acquired in healthy and AF participants using a range of MRI sequences and parameters. MRI acquisitio...
Source: Australasian Physical and Engineering Sciences in Medicine - June 10, 2022 Category: Biomedical Engineering Source Type: research

Retinal fundus image classification for diabetic retinopathy using SVM predictions
AbstractDiabetic Retinopathy (DR) is one of the leading causes of blindness in all age groups. Inadequate blood supply to the retina, retinal vascular exudation, and intraocular hemorrhage cause DR. Despite recent advances in the diagnosis and treatment of DR, this complication remains a challenging task for physicians and patients. Hence, a comprehensive and automated technique for DR screening is necessary, which will give early detection of this disease. The proposed work focuses on 16 class classification method using Support Vector Machine (SVM) that predict abnormalities individually or in combination based on the se...
Source: Australasian Physical and Engineering Sciences in Medicine - June 9, 2022 Category: Biomedical Engineering Source Type: research

Winning images from the Art in Science and Engineering in Medicine (ARSENIC) competition
(Source: Australasian Physical and Engineering Sciences in Medicine)
Source: Australasian Physical and Engineering Sciences in Medicine - June 9, 2022 Category: Biomedical Engineering Source Type: research

Lung and colon cancer classification using medical imaging: a feature engineering approach
The objective of this study is to set up a computer-aided diagnostic system that can accurately classify five types of colon and lung tissues (two classes for colon cancer and three classes for lung cancer) by analyzing their histopathological images. Using machine learning, features engineering and image processing techniques, the six models XGBoost, SVM, RF, LDA, MLP and LightGBM were used to perform the classification of histopathological images of lung and colon cancers that were acquired from the LC25000 dataset. The main advantage of using machine learning models is that they allow a better interpretability of the cl...
Source: Australasian Physical and Engineering Sciences in Medicine - June 7, 2022 Category: Biomedical Engineering Source Type: research

Residual image registration error by fiducial markers in accelerated partial breast irradiation using C-arm linac: a phantom study
This study aimed to evaluate the residual image registration error of fiducial marker-based IGRT by respiratory motion and propose a suitable treatment strategy. We developed an acrylic phantom embedded with surgical clips to verify the registration error under moving conditions. The frequency of the phase difference in the respiratory cycle due to sequential acquisition was verified in a preliminary study. Fiducial marker-based IGRT was then performed in ten scenarios. The residual registration error (RRE) was calculated on the basis of the differences in the coordinates of clips between the true position if not moved and...
Source: Australasian Physical and Engineering Sciences in Medicine - June 3, 2022 Category: Biomedical Engineering Source Type: research

ACPSEM position paper on the clinical implementation of image registration
(Source: Australasian Physical and Engineering Sciences in Medicine)
Source: Australasian Physical and Engineering Sciences in Medicine - June 2, 2022 Category: Biomedical Engineering Source Type: research

A major depressive disorder diagnosis approach based on EEG signals using dictionary learning and functional connectivity features
This study also presents an automated EEG-based MDD diagnosis framework based on Dictionary learning (DL) approaches and functional connectivity features. Firstly, a feature space of MDD and healthy control (HC) participants were constructed via functional connectivity features.Next, DL-based classification approaches such as Label Consistent K-SVD (LC-KSVD) and Correlation-based Label Consistent K-SVD (CLC-KSVD) methods, were utilized to perform the classification task. A public dataset was used, consisting of EEG signals from 34 MDD patients and 30 HC subjects, to evaluate the proposed method. To validate the proposed me...
Source: Australasian Physical and Engineering Sciences in Medicine - May 30, 2022 Category: Biomedical Engineering Source Type: research

ThoraciNet: thoracic abnormality detection and disease classification using fusion DCNNs
AbstractChest X-rays are arguably the de facto medical imaging technique for diagnosing thoracic abnormalities. Chest X-ray analysis is complex, especially in asymptomatic diseases, and relies heavily on the expertise of radiologists. This work proposes the use of deep learning models to automate the process of thoracic abnormality detection, classification, and segmentation. The advent of large-scale, annotated and public chest X-ray databases have enabled deep learning researchers to build state-of-the-art computer-aided diagnosis systems for such tasks. In this work, a two-stage pipeline is proposed for thoracic abnorma...
Source: Australasian Physical and Engineering Sciences in Medicine - May 30, 2022 Category: Biomedical Engineering Source Type: research

Band decomposition of asynchronous electroencephalogram signal for upper limb movement classification
AbstractDecoding asynchronous electroencephalogram (A-EEG) signals is a crucial challenge in the emerging field of EEG based brain –computer interface. In the case of A-EEG signals, the time markers of motor activity are absent. The paper proposes a method to decompose the A-EEG signals using gabor elementary function designed with Gabor frames. The scale-space analysis extracts Gabor dominant frequencies from A-EEG signals. Statistical and temporal moment dependent features are used to create the feature vector for each estimated gabor band. The statistical significance of the features is tested with the Kruskal–Walli...
Source: Australasian Physical and Engineering Sciences in Medicine - May 30, 2022 Category: Biomedical Engineering Source Type: research

Effect of scanner lens on lateral response artefact in radiochromic film dosimetry
This study investigated the effect of the scanner lens on the LRA effect, as part of a wider investigation of scanner design effects and uncertainties. Gafchromic EBT3 films were irradiated with 40  × 40 cm2 field size 6 MV beams. Films were analysed using images captured by a Canon 7D camera utilising 18  mm, 50 mm and 100 mm focal length lenses compared to images scanned with a conventional Epson V700 scanner. The magnitude of the LRA was observed to be dependent on the focal length of the lens used to image the film. A substantial reduction in LRA was seen with the use of the 50 mm and 100 mm lenses, by factor...
Source: Australasian Physical and Engineering Sciences in Medicine - May 30, 2022 Category: Biomedical Engineering Source Type: research

Golden beam data provided by linear accelerator manufacturers should be used in the commissioning of treatment planning systems
(Source: Australasian Physical and Engineering Sciences in Medicine)
Source: Australasian Physical and Engineering Sciences in Medicine - May 23, 2022 Category: Biomedical Engineering Source Type: research

Influence of field of view size and reconstruction methods on single-energy metal artifact reduction: a phantom study
AbstractThe purpose of this study was to evaluate the effect of single-energy metal artifact reduction (SEMAR) for metal artifacts using CT images reconstructed with adaptive iterative dose reduction three dimensional (AIDR3D) and advanced intelligent clear-IQ engine (AiCE) in calibration-field of view of various sizes. A prosthetic hip joint was arranged at the center of the phantom. The phantom images were scanned by changing calibration-field of view of 320  mm and 500 mm, and were reconstructed using filtered back-projection (FBP), AIDR3D, and AiCE with and without SEMAR, respectively. The metal artifact reduction wi...
Source: Australasian Physical and Engineering Sciences in Medicine - May 20, 2022 Category: Biomedical Engineering Source Type: research