Journal of Medical Imaging and Radiation Sciences 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.

Innovative series binary ai strategies for improved detection of incorrectly positioned dental panoramic
This study aimed to develop a blended AI approach for categorizing incorrect positioning in dental panoramic images using binary two-class CNN methods. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Li-Ling Chiu, Chi-Yuan Wang, Takahide Okamoto, Hsin-Yueh Su, Fan-Shiu Tsai, Li-Wen Lin, Shih-Yen Hsu, Tai-Been Chen Source Type: research

DEEP LEARNING FUSION TECHNIQUES FOR IMPROVED Tc99m BONE METASTASIS DETECTION
This study aims to enhance the accuracy and precision of bone metastasis detection by applying fusion CNN (convolutional neural network) methods combined with artificial intelligence (AI) deep learning algorithms. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Yi-Xuan Ding, Yi-Chen Wu, Fan-Shiu Tsai, Li-Wen Lin, Yung-Hui Huang, Shih-Yen Hsu, Tai-Been Chen Source Type: research

Harnessing yolo algorithms for efficient breast cancer detection in mammography
The primary aim of this study is to investigate the accuracy and reliability of employing YOLO (You Only Look Once) algorithms in detecting breast lesions using contrast-enhanced mammograms (CEM) and to compare their performance. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Ching-Ting Hu, Akari Matsushima, Yung-Hui Huang, Takahide Okamoto, Kuo-Ying Liu, Shih-Yen Hsu, Tai-Been Chen Source Type: research

Fusing ultrasound and mammography images: a novel ai approach to improve breast cancer screening and diagnosis
The primary Objective: of this research is to develop and evaluate cross-image and fusion artificial intelligence methods that can improve the recognition speed and screening rate of breast cancer in B-mode ultrasound and mammography images, potentially leading to more accurate and timely diagnoses for women at risk. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Shih-Yen Hsu, Yi-Ming Wang, Yung-Hui Huang, Chi-Yuan Wang, Tai-Been Chen Source Type: research

A comparitive study of fat suppression image qualities according to shimming techniques in off-center mri
We compared the image qualities of Volume and Pencil beam shimming MRI techniques in off-center. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Lee Joohyun, NamKoong Ho Source Type: research

Radiomics analysis of dwi mri for predicting cervical cancer staging
Contemporary technology has enabled a more meticulous and refined diagnosis that can classify tumor staging through quantifying the extraction of features and the analysis of medical images. This investigation endeavors to assess the radiomic features of cervical cancer through the DWI MRI modality and to categorize the tumor based on its staging. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Zarina Ramli, Muhammad Khalis bin Abdul Karim, Mohd Amiruddin Abdul Rahman Source Type: research

Comparison of hypersensitivity reactions according to fasting and non-fasting before examination in contrast-enhanced ct scans
Fasting time guidelines for contrast-enhanced CT scans have been changed to improve patient comfort and safety. We evaluated the effectiveness of the new fasting time guidelines by comparing cases of hypersensitivity before and after the revision. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Im Cheon-Sik, Kim Seung-Hee, Ahn Byoung-Hwan, NamKoong Ho, Cho Myeong-Ju Source Type: research

Innovation using test bolus method via multiphase concentration: study image quality of computed tomography pulmonary angiogram (ctpa)
To evaluate the multiphase concentration of contrast media (CM) injection in Computed Tomography Pulmonary Angiogram (CTPA) by using test bolus technique in term of image quality (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Mohd Shahril Mohd Shamsul, Fatin Nur Fazlina Mohd Kamaruddin, Faizah Mohd Zaki, Mohd Imree Azmi, Akmal Sabarudin, Iza Nurzawani Che Isa, Khadijah Mohd Nassir Source Type: research

Effect of contrast enhancement hrct of lung volume capacity on covid-19 patients
This study aims to compare the effect of contrast enhancement high-resolution computed tomography (ceHRCT) with plain high-resolution computed tomography (pHRCT) of the lung volume in covid-19 patients. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Fatin Nurfazlina Mohd Kamaruddin, Mohd Shahril Mohd Shamsul, Hamzaini Abd Hamid, Chai Jia Ning, Faizah Mohd Zaki, Hanani Abdul Manan, Saadon Samian Source Type: research

The role of shear wave elastography in post-mortem canines
This study aims to investigate the use of SWE to evaluate the progression of tissue stiffness in post-mortem subjects and its reliability in reproducing measurements as the organs and soft tissues deteriorate. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Sook Sam Leong, Wee Kee Ong, Raja Rizal Azman, Mohammad Nazri Mohd Shah, Anushya Vijayananthan, Seng Fong Lau Source Type: research

Lessons learned by radiography students on clinical placement during covid-19: what can we do for future pandemics?
Understanding the impact of COVID-19 on students' clinical placement and wellbeing is important in supporting students' future development and preparing for possible pandemics in the future. Aim: To assess the impact of COVID-19 on clinical placement and address students' needs and support provided. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Mohamed M Abuzaid, Wiam Elshami, Delyth Hughes, Catherine McClintick, Jonathan McConnell, Sonyia McFadden Source Type: research

Immediate post-irradiation effects on morphometry and bone mineral density of osteoporotic bone
This study is aimed to investigate the immediate effects of irradiation on morphometry and bone mineral density (BMD) of osteoporotic bone. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Noor Hisam Nurul Iqqa Syazleen, Abu Bakar Ayuni Amalina, Mohamad Noor Shafini, Mahmud Mohd Hafizi, Thomas Sudin Ann Erynna Lema, Shuib Solehuddin, Abdul Razak Hairil Rashmizal Source Type: research

Psychophysical performances of computed tomography pulmonary angiography protocols
The purpose of this study was to evaluate the ability of different tube potentials, pitch factors, and iterative reconstruction algorithms to detect pulmonary embolism (PE) in the lung by examining the performance of the target transfer function (TTF) and contrast-to-noise ratio (CNR). (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Muhammad Khalis Abdul Karim, Hanif Haspi Harun, Nor Azura Muhammad, Ng Kwan Hoong, Norhashimah Mohd Norsuddin, Mohamad Johari Ibahim Source Type: research

Task-based assessment of image quality in low dose ct lung cancer screening
Due to the elevated radiation levels associated with Computed Tomography (CT) lung cancer screenings, a decision was made to decrease the amount of radiation administered to patients. This was done in order to address potential concerns regarding patient safety. However, the impact of this reduction on the quality of the resulting images has yet to be fully evaluated and remains a topic of discussion. The OBJECTIVE: of this investigation is to evaluate the impact of the iterative reconstruction (IR) algorithm on the quality of CT images for lung cancer screening through a task-based analysis. (Source: Journal of Medical Im...
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Mohd Esnu Khalidi Abd Halim, Muhammad Khalis Abdul Karim, Dania Mazlan, Hanif Haspi Harun, Mohd Mustafa Awang Kechik Source Type: research

Disaster management in radiology department
A disaster is an unanticipated low probability and high impact event that causes widespread devastation, disrupts routine life and causes large number of people to become ill or injured. Radiological priorities in the immediate phase of trauma are radiographic imaging of all parts of human body X-rays usually take precedence. (Source: Journal of Medical Imaging and Radiation Sciences)
Source: Journal of Medical Imaging and Radiation Sciences - August 23, 2023 Category: Radiology Authors: Gupta Lalit Kumar, Kour Varshdeep, Koul Pankaj, SS Gill Source Type: research