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Australasian Physical & Engineering Sciences in Medicine

Martin Caon
No abstract text is available yet for this article.
September 21, 2018: Australasian Physical & Engineering Sciences in Medicine
Shuping Sun, Haibin Wang
In this study, a simple and efficient diagnostic system, which adopts a novel methodology consisting of principal component analysis (PCA)-based feature generation and ellipse models-based classification criterion, is proposed for the diagnosis of a ventricular septal defect (VSD). The three stages corresponding to the diagnostic system implementation are summarized as follows. In stage 1, the heart sound is collected by 3M-3200 electronic stethoscope and is preprocessed using the wavelet decomposition. In stage 2, the PCA-based diagnostic features, [[Formula: see text]], are generated from time-frequency feature matrix ([Formula: see text])...
September 20, 2018: Australasian Physical & Engineering Sciences in Medicine
Bing Bai, Pei-Zhong Liu, Yong-Zhao Du, Yan-Ming Luo
Colposcopy is an important imaging modality for the detection of cervical lesions. The analysis of colposcopic images, especially the effective segmentation of the cervical region, has important clinical value in clinical application. A cervical segmentation method based on the HSV color mode is proposed, which can divide and extract the cervical region in the medical and anatomical sense. Firstly, the histogram threshold method is used to analyze the histogram (Y) of the colposcopic image. In order to achieve the removal of the mirror reflection pretreatment operation in the colposcopy image...
September 13, 2018: Australasian Physical & Engineering Sciences in Medicine
Daohui Zeng, Jidong Peng, Simon Fong, Yining Qiu, Raymond Wong
In this paper, we propose a novel technique termed as optimized swarm search-based feature selection (OS-FS), which is a swarm-type of searching function that selects an ideal subset of features for enhanced classification accuracy. In terms of gaining insights from unstructured medical based texts, sentiment prediction is becoming an increasingly crucial machine learning technique. In fact, due to its robustness and accuracy, it recently gained popularity in the medical industries. Medical text mining is well known as a fundamental data analytic for sentiment prediction...
September 11, 2018: Australasian Physical & Engineering Sciences in Medicine
Yuling Fan, Peizhong Liu, Jianeng Tang, Yanmin Luo, Yongzhao Du
For the diagnosis and treatment of breast tumors, the automatic detection of glands is a crucial step. The true segmentation of the gland is directly related to effective treatment effect of the patient. Therefore, it is necessary to propose an automatic segmentation algorithm based on mammary gland features. A segmentation method of differential evolution (DE) fuzzy entropy based on mammary gland is proposed in the paper. According to the image fuzzy entropy, the evaluation function of image segmentation is constructed in the first step...
September 10, 2018: Australasian Physical & Engineering Sciences in Medicine
Pratik Singh, Gayadhar Pradhan
This paper presents a novel electrocardiogram (ECG) denoising approach based on variational mode decomposition (VMD). This work also incorporates the efficacy of the non-local means (NLM) estimation and the discrete wavelet transform (DWT) filtering technique. Current ECG denoising methods fail to remove noise from the entire frequency range of the ECG signal. To achieve the effective ECG denoising goal, the noisy ECG signal is decomposed into narrow-band variational mode functions (VMFs) using VMD method. The idea is to filter out noise from these narrow-band VMFs...
September 6, 2018: Australasian Physical & Engineering Sciences in Medicine
Usha Rani Gogoi, Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Anjan Kumar Ghosh
The purpose of this study is to develop a novel breast abnormality detection system by utilizing the potential of infrared breast thermography (IBT) in early breast abnormality detection. Since the temperature distributions are different in normal and abnormal thermograms and hot thermal patches are visible in abnormal thermograms, the abnormal thermograms possess more complex information than the normal thermograms. Here, the proposed method exploits the presence of hot thermal patches and vascular changes by using the power law transformation for pre-processing and singular value decomposition to characterize the thermal patches...
August 31, 2018: Australasian Physical & Engineering Sciences in Medicine
Fatemeh Kazemi, Farahnaz Mohanna, Javad Ahmadi-Shokouh
In this paper, a microwave microscope is presented for characterization of skin abnormalities. A coplanar waveguide probe is designed and fabricated for high-resolution near-field imaging of the biological samples. Several simulations and measurement studies are described to present the capability of the proposed probe in identification of different tissues and the detection of fat masses at different depths. In addition, two methods are used to eliminate the measurement noise which is caused by non-targeted tissues...
August 30, 2018: Australasian Physical & Engineering Sciences in Medicine
Azam Afzalifar, Maryam Bashi, Ali Asghar Mowlavi, Maria Rosa Fornasier, Hamid Reza Baghani
Several methods are introduced for skin cancer treatment. An encouraging method is radionuclide skin therapy, where high-energy beta emitting radionuclides such as 32 P, 90 Y, 188 Re and 166 Ho are employed for skin irradiation. This study aimed to calculate the dose distribution for mentioned radionuclides at different layers of skin phantom through Monte Carlo simulation. Depth dose distribution, transverse dose profile and isodose curves related to the patch sources under investigation were calculated by MCNPX code...
August 28, 2018: Australasian Physical & Engineering Sciences in Medicine
Tomonobu Haba, Shuji Koyama, Natsuki Otani
X-ray image evaluation is commonly performed by determining the detective quantum efficiency (DQE). DQE is calculated with a presampled modulation transfer function (MTF), incident photon fluence, and digital noise power spectrum (NPS). Accurate evaluation of MTF, incident photon fluence, and NPS is important for precise DQE determination. In this study, we focused on the accuracy of the incident photon fluence in mammography. The incident photon fluence is calculated using the squared signal-to-noise ratio (SNRin 2 ) value as specified in the International Electrotechnical Commission (IEC) 62220-1-2 report...
August 27, 2018: Australasian Physical & Engineering Sciences in Medicine
Ines-Ana Jurkovic, Sotirios Stathakis, Ying Li, Abhilasha Patel, Jill Vincent, Nikos Papanikolaou, Panayiotis Mavroidis
The purpose of the study is to evaluate the accuracy of two deformable image registration algorithms by examining their influence on the dose summation results obtained using 4DCT (four dimensional computed tomography) dose distributions based on '4D' planned and '4D optimal' IMRT (intensity modulated radiation therapy) plans. For ten lung cancer patients, 4D step and shoot IMRT plans were produced. The breathing cycle was divided into ten parts and for each part a set of CT images was acquired. For each patient the treatment plan was copied to the CTs of each phase and subsequently recalculated...
August 24, 2018: Australasian Physical & Engineering Sciences in Medicine
Tony Young, David Thwaites, Lois Holloway
Computed tomography (CT) is the gold standard for radiotherapy simulation and treatment planning, providing spatial accuracy, bony anatomy definition and electron density information for dose calculations. Magnetic resonance imaging (MRI) has been introduced in radiotherapy to improve visualisation of anatomy for accurate target definition and contouring, however lacks electron density information required for dose calculations, with various methods used to overcome this. The aim of this work is to assess the impact on dose calculation accuracy and optimisation results of different approaches to determine electron density, as could be used in MRI only treatment planning for nasopharyngeal datasets with VMAT treatment plans...
August 17, 2018: Australasian Physical & Engineering Sciences in Medicine
Maryam Babaei, Ruhollah Ghahramani-Asl, Hamid-Reza Sadoughi, Dariush Sardari, Sohrab Shahzadi
Over 90% of craniopharyngeal brain tumors are cystic, which enables the injection of beta emitters such as phosphorus-32 (32 P) radio-colloid into cysts for their treatment. The aim of this study was to evaluate the clinical and theoretical modelling of Bremsstrahlung radiation dose resulting from stereotactic radio-colloid therapy of cystic craniopharyngioma tumors with 32 P. 32 P radio-colloid with appropriate activity concentration was injected to a head phantom, and then the Bremsstrahlung radiation spectrum and planar images were obtained using a gamma camera...
July 9, 2018: Australasian Physical & Engineering Sciences in Medicine
Scott B Crowe, Zac Pross, Sanna Nilsson, Jodi Dawes, Tanya Kairn, Craig M Lancaster
The use of a non-water-equivalent personalised mould for gynaecological brachytherapy treatments can result in a substantial dose reduction at the treatment site, compared to calculated dose, in lieu of a dose calculation algorithm capable of modelling non-water-equivalent materials. This study describes the characterisation of the radiological properties of a brachytherapy applicator moulding material. Simple line source correction factors for an 192 Ir source are obtained through Monte Carlo simulations and verified by film measurements...
September 2018: Australasian Physical & Engineering Sciences in Medicine
HongMei Zhang, ManMan Song, Ming Yang, Yan Song, FuRong Zhang, AiFeng Zhang, LiTao Ruan, MingXi Wan
The elasticity of the vessel wall is important for the clinical identification of rupture-risks. The Von Mises strain can be a potential index for the indication of carotid vessel pathologies. In this paper, a fast clinically applicable real-time algorithm from time-sequence of B-mode carotid images is developed. Due to the compression induced by the normal cardiac pulsation, tissue motion occurs radially and non-rigidly. To obtain an accurate motion field, we developed a variational functional integrating the optical flow equation and an anisotropic regularizer, and designed a diffusion tensor to encourage coherence diffusion...
September 2018: Australasian Physical & Engineering Sciences in Medicine
Yılmaz Kaya, Ömer Faruk Ertuğrul
Epilepsy is one of the most common neurological disorders. Electroencephalogram (EEG) signals are generally employed in diagnosing epilepsy. Therefore, extracting relevant features from EEG signals is one of the major tasks in an accurate diagnosis. In this study, the local ternary patterns, which is an image processing method, was improved in order to extract robust features from epileptic EEG signals. The EEG signals that were recorded by the Department of Etymology in the Bonn University were employed in the evaluation and validation of the proposed approach...
September 2018: Australasian Physical & Engineering Sciences in Medicine
Sandeep Raj, Kailash Chandra Ray, Om Shankar
The basis and reliability for timely diagnosis of cardiovascular diseases depend on the robust and accurate detection of QRS complexes along with the fiducial points in the electrocardiogram (ECG) signal. Despite, the several QRS detection algorithms reported in the literature, the development of an efficient QRS detector remains a challenge in the clinical environment. Therefore, this article summarizes the performance analysis of various QRS detection techniques depending upon three assessment factors which include robustness to noise, computational load, and sensitivity validated on the benchmark MIT-BIH arrhythmia database...
September 2018: Australasian Physical & Engineering Sciences in Medicine
Jacob Van Dyk, Jerry J Battista
No abstract text is available yet for this article.
September 2018: Australasian Physical & Engineering Sciences in Medicine
Claire Dempsey
No abstract text is available yet for this article.
September 2018: Australasian Physical & Engineering Sciences in Medicine
Anurag Sharma, Arun Khosla, Mamta Khosla, Yogeswara Rao
The main aim of this research work was to develop and validate a novel graphical user interface based hierarchical fuzzy autism detection tool named as "Fast and Accurate Diagnosis of Autism" for the diagnosis of autism disorder quickly and accurately and in addition, this tool also highlights the highly impaired area in each participant. Two groups of children had been participated in this study which includes autism group (N = 40) and normal group (N = 40). The hierarchical fuzzy expert system had been developed using IF-Then rules based on the experiences of the specialists and both the groups were tested on the designed system...
September 2018: Australasian Physical & Engineering Sciences in Medicine
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