MyMedR

Interventional radiology procedures are becoming more challenging over time; thus, there is a need for excellent and reliable training methods. Training on live patients is neither safe nor an ethical solution. Alternatives are many and varied, but the most popular is ultrasound guided simulators. This report shows how a simple, homemade, low-cost phantom material, and construction modules can provide several advantages over ordinary gelatin phantoms. A new layering technique and target synthesis are described for the biopsy phantom, including tips on decreasing the needle pass artifact as well as controlling the mixture echogenicity.

Matched MeSH terms: Radiology, Interventional

Improving diagnostic quality of MR images through controlled lossy compression using SPIHT

Choong MK, Logeswaran R, Bister M

J Med Syst, 2006 Jun;30(3):139-43.

PMID: 16848126

This paper attempts to improve the diagnostic quality of magnetic resonance (MR) images through application of lossy compression as a noise-reducing filter. The amount of imaging noise present in MR images is compared with the amount of noise introduced by the compression, with particular attention given to the situation where the compression noise is a fraction of the imaging noise. A popular wavelet-based algorithm with good performance, Set Partitioning in Hierarchical Trees (SPIHT), was employed for the lossy compression. Tests were conducted with a number of MR patient images and corresponding phantom images. Different plausible ratios between imaging noise and compression noise (ICR) were considered, and the achievable compression gain through the controlled lossy compression was evaluated. Preliminary results show that at certain ICR's, it becomes virtually impossible to distinguish between the original and compressed-decompressed image. Radiologists presented with a blind test, in certain cases, showed preference to the compressed image rather than the original uncompressed ones, indicating that under controlled circumstances, lossy image compression can be used to improve the diagnostic quality of the MR images.

Matched MeSH terms: Radiology/methods*

Model-based compression for 3D medical images stored in the DICOM format

Logeswaran R, Eswaran C

J Med Syst, 2006 Apr;30(2):133-8.

PMID: 16705998

Many medical examinations involve acquisition of a large series of slice images for 3D reconstruction of the organ of interest. With the paperless hospital concept and telemedicine, there is very heavy utilization of limited electronic storage and transmission bandwidth. This paper proposes model-based compression to reduce the load on such resources, as well as aid diagnosis through the 3D reconstruction of the structures of interest, for images acquired by various modalities, such as MRI, Ultrasound, CT, PET etc. and stored in the DICOM file format. An example implementation for the biliary track in MRCP images is illustrated in the paper. Significant compression gains may be derived from the proposed method, and a suitable mixture of the models and raw images would enhance the patient medical history archives as the models may be stored in the DICOM file format used in most medical archiving systems.

Matched MeSH terms: Radiology Information Systems*

Fulltext Digital healthcare and shifting equipoise in radiation oncology: The butterfly effect of the COVID-19 pandemic

Boon IS, Lim JS, Au Yong TPT, Boon CS

J Med Imaging Radiat Sci, 2021 03;52(1):11-13.

PMID: 33097437 DOI: 10.1016/j.jmir.2020.10.002

Matched MeSH terms: Radiology/education; Teleradiology/organization & administration*

Fulltext Harnessing Telemedicine for the Provision of Health Care: Bibliometric and Scientometric Analysis

Waqas A, Teoh SH, Lapão LV, Messina LA, Correia JC

J Med Internet Res, 2020 10 02;22(10):e18835.

PMID: 33006571 DOI: 10.2196/18835

BACKGROUND: In recent decades, advances in information technology have given new momentum to telemedicine research. These advances in telemedicine range from individual to population levels, allowing the exchange of patient information for diagnosis and management of health problems, primary care prevention, and education of physicians via distance learning.

OBJECTIVE: This scientometric investigation aims to examine collaborative research networks, dominant research themes and disciplines, and seminal research studies that have contributed most to the field of telemedicine. This information is vital for scientists, institutions, and policy stakeholders to evaluate research areas where more infrastructural or scholarly contributions are required.

METHODS: For analyses, we used CiteSpace (version 4.0 R5; Drexel University), which is a Java-based software that allows scientometric analysis, especially visualization of collaborative networks and research themes in a specific field.

RESULTS: We found that scholarly activity has experienced a significant increase in the last decade. Most important works were conducted by institutions located in high-income countries. A discipline-specific shift from radiology to telestroke, teledermatology, telepsychiatry, and primary care was observed. The most important innovations that yielded a collaborative influence were reported in the following medical disciplines, in descending order: public environmental and occupational health, psychiatry, pediatrics, health policy and services, nursing, rehabilitation, radiology, pharmacology, surgery, respiratory medicine, neurosciences, obstetrics, and geriatrics.

CONCLUSIONS: Despite a continuous rise in scholarly activity in telemedicine, we noticed several gaps in the literature. For instance, all the primary and secondary research central to telemedicine was conducted in the context of high-income countries, including the evidence synthesis approaches that pertained to implementation aspects of telemedicine. Furthermore, the research landscape and implementation of telemedicine infrastructure are expected to see exponential progress during and after the COVID-19 era.

Matched MeSH terms: Radiology

Fulltext Automatic medical X-ray image classification using annotation

Zare MR, Mueen A, Seng WC

J Digit Imaging, 2014 Feb;27(1):77-89.

PMID: 24092327 DOI: 10.1007/s10278-013-9637-0

The demand for automatically classification of medical X-ray images is rising faster than ever. In this paper, an approach is presented to gain high accuracy rate for those classes of medical database with high ratio of intraclass variability and interclass similarities. The classification framework was constructed via annotation using the following three techniques: annotation by binary classification, annotation by probabilistic latent semantic analysis, and annotation using top similar images. Next, final annotation was constructed by applying ranking similarity on annotated keywords made by each technique. The final annotation keywords were then divided into three levels according to the body region, specific bone structure in body region as well as imaging direction. Different weights were given to each level of the keywords; they are then used to calculate the weightage for each category of medical images based on their ground truth annotation. The weightage computed from the generated annotation of query image was compared with the weightage of each category of medical images, and then the query image would be assigned to the category with closest weightage to the query image. The average accuracy rate reported is 87.5 %.

Matched MeSH terms: Radiology Information Systems/statistics & numerical data*

Fulltext Development of automated image stitching system for radiographic images

Samsudin S, Adwan S, Arof H, Mokhtar N, Ibrahim F

J Digit Imaging, 2013 Apr;26(2):361-70.

PMID: 22610151 DOI: 10.1007/s10278-012-9483-5

Standard X-ray images using conventional screen-film technique have a limited field of view that is insufficient to show the full bone structure of large hands on a single frame. To produce images containing the whole hand structure, digitized images from the X-ray films can be assembled using image stitching. This paper presents a new medical image stitching method that utilizes minimum average correlation energy filters to identify and merge pairs of hand X-ray medical images. The effectiveness of the proposed method is demonstrated in the experiments involving two databases which contain a total of 40 pairs of overlapping and non-overlapping hand images. The experimental results are compared with that of the normalized cross-correlation (NCC) method. It is found that the proposed method outperforms the NCC method in classifying and merging the overlapping and non-overlapping medical images. The efficacy of the proposed method is further indicated by its average execution time, which is about five times shorter than that of the other method.

Matched MeSH terms: Radiology Information Systems/organization & administration*

Fulltext Region of Interest-Based Tamper Detection and Lossless Recovery Watermarking Scheme (ROI-DR) on Ultrasound Medical Images

Khor HL, Liew SC, Zain JM

J Digit Imaging, 2017 Jun;30(3):328-349.

PMID: 28050716 DOI: 10.1007/s10278-016-9930-9

Tampering on medical image will lead to wrong diagnosis and treatment, which is life-threatening; therefore, digital watermarking on medical image was introduced to protect medical image from tampering. Medical images are divided into region of interest (ROI) and region of non-interest (RONI). ROI is an area that has a significant impact on diagnosis, whereas RONI has less or no significance in diagnosis. This paper has proposed ROI-based tamper detection and recovery watermarking scheme (ROI-DR) that embeds ROI bit information into RONI least significant bits, which will be extracted later for authentication and recovery process. The experiment result has shown that the ROI-DR has achieved a good result in imperceptibility with peak signal-to-noise ratio (PSNR) values approximately 48 dB, it is robust against various kinds of tampering, and the tampered ROI was able to recover to its original form. Lastly, a comparative table with the previous research (TALLOR and TALLOR-RS watermarking schemes) has been derived, where these three watermarking schemes were tested under the same testing conditions and environment. The experiment result has shown that ROI-DR has achieved speed-up factors of 22.55 and 26.65 in relative to TALLOR and TALLOR-RS watermarking schemes, respectively.

Matched MeSH terms: Radiology Information Systems/standards

Fulltext Mandibular Canal Enlargement: Clinical and Radiological Characteristics

Ai CJ, Jabar NA, Lan TH, Ramli R

J Clin Imaging Sci, 2017;7:28.

PMID: 28781925 DOI: 10.4103/jcis.JCIS_28_17

Enlargement of the mandibular canal is a rare radiological finding. Clinically, it may or may not be associated with sensory deficits. We report four cases of widening of the mandibular canal observed with various methods of imaging with different clinical characteristics. We describe this unique radiological finding and elaborate the importance of quality assessment of the imaging that is vital for accurate diagnosis and treatment planning. Clinicians should be mindful when assessing the imaging whenever the size of the mandibular canal is implicated. The case ranged from a benign tumor to malignancy, radiological errors, and artifacts. A more superior imaging or treatment modality was necessary to ascertain the diagnosis.

Matched MeSH terms: Radiology

A Massive Hemothorax in a Pregnant Woman: Role of Interventional Radiology

Md Noh MSF, Abdul Rashid AM, Abdul Rahim E

J Bronchology Interv Pulmonol, 2018 07;25(3):e30-e32.

PMID: 29944591 DOI: 10.1097/LBR.0000000000000456

Matched MeSH terms: Radiology, Interventional

Fulltext Towards precision medicine: from quantitative imaging to radiomics

Acharya UR, Hagiwara Y, Sudarshan VK, Chan WY, Ng KH

J Zhejiang Univ Sci B, 2018 1 9;19(1):6-24.

PMID: 29308604 DOI: 10.1631/jzus.B1700260

Radiology (imaging) and imaging-guided interventions, which provide multi-parametric morphologic and functional information, are playing an increasingly significant role in precision medicine. Radiologists are trained to understand the imaging phenotypes, transcribe those observations (phenotypes) to correlate with underlying diseases and to characterize the images. However, in order to understand and characterize the molecular phenotype (to obtain genomic information) of solid heterogeneous tumours, the advanced sequencing of those tissues using biopsy is required. Thus, radiologists image the tissues from various views and angles in order to have the complete image phenotypes, thereby acquiring a huge amount of data. Deriving meaningful details from all these radiological data becomes challenging and raises the big data issues. Therefore, interest in the application of radiomics has been growing in recent years as it has the potential to provide significant interpretive and predictive information for decision support. Radiomics is a combination of conventional computer-aided diagnosis, deep learning methods, and human skills, and thus can be used for quantitative characterization of tumour phenotypes. This paper discusses the overview of radiomics workflow, the results of various radiomics-based studies conducted using various radiological images such as computed tomography (CT), magnetic resonance imaging (MRI), and positron-emission tomography (PET), the challenges we are facing, and the potential contribution of radiomics towards precision medicine.

Matched MeSH terms: Radiology/methods*; Radiology, Interventional/methods*

Fulltext Validation of the dose distributions with Monte Carlo simulation for carbon ion cancer therapy

Ying, C.K., W.A. Kamil, Matsufuji, Naruhiro

Journal of Biomedical and Clinical Sciences, 2017;2(2):1-7.

MyJurnal

Charged particle therapy with carbon ions has advantages over conventional radiotherapy using x-ray beams. The application of charged particle therapy has rapidly increased over the last decades. This is due to its characteristic Bragg peak which has relatively low entrance doses and favourable doses distribution. In this research work, Geant4 based Monte Carlo simulation (MC) method has been used to calculate the radiation transportation and dose distributions in tissue-like media. The main objective of the work was to compare the Geant4 simulated depth dose distributions with experimental measurements and verify the capability of the geant4 simulation toolkit. The carbon ion beams for the therapeutic energy of 350 MeV/u and 400 MeV/u respectively were simulated, with the same settings as the experimental work carried out at the treatment room at Heavy Ion Medical Accelerator (HIMAC), National Institute of Radiological Sciences (NIRS), Chiba, Japan. The simulation results were verified with measurements data. The work was to measure the accuracy and quality of the dose distributions by Geant4 MC methods. The results show that the Bragg peak and spread out Bragg peak (SOBP) distributions in simulation has fairly good agreement with measurements.

Matched MeSH terms: Radiology

A survey of chest radiographs of migrant workers in Malaysia

Basri JJA

JUMMEC, 2002;7:44-45.

A survey was done to assess the chest radiographs of a selected group of immigrants. The objective is to ascertain the rpesence of abnormalities especially the presence of tuberculosis. Five hundred and eleven (511) chest radiographs (PA view) were evaluated. majority of the chest radiographs were normal, except for 2 cases of hilar lymphadenopathy, 4 cases of scoliosis and cervical rib, an old case of fracture of the clavicle and a case of cardiomegaly. Only 2 cases of TB were detected.

Matched MeSH terms: Radiology

Cost-effective handling of digital medical images in the telemedicine environment

Choong MK, Logeswaran R, Bister M

Int J Med Inform, 2007 Sep;76(9):646-54.

PMID: 16769242

This paper concentrates on strategies for less costly handling of medical images. Aspects of digitization using conventional digital cameras, lossy compression with good diagnostic quality, and visualization through less costly monitors are discussed.

Matched MeSH terms: Radiology Information Systems/economics*

Fulltext Radiological findings of Pulmonary Tuberculosis in patients with and without HIV infections

Radhiana Hassan, Haziq Hussaini Fauzi, Kamil Irsyad Yusoff, Muhammad Faizol Mohd Satar, Hafizah Pasi

International Medical Journal Malaysia, 2017;16(11):49-49.

MyJurnal

Radiological manifestation of pulmonary tuberculosis in HIV positive
patients is different with HIV negative patients. We aim to determine the differences in
chest radiological findings of Pulmonary Tuberculosis among HIV and non-HIV infected
patients in HTAA. (Copied from article).

Matched MeSH terms: Radiology

Fulltext Pedunculated hepatocellular carcinoma: distinguishing features from conventional hepatocellular carcinoma

Norzila, A.B., Wong, M.P.K.

International Medical Journal Malaysia, 2016;15(1):110-113.

MyJurnal

Malignant pedunculated (exophytic) hepatocellular carcinoma (P-HCC) is a rare entity of hepatocellular
carcinoma. Due to its unique characteristics, it gives a different spectrum of clinical findings, radiological
presentation and different management approach with reported better outcome to the patients. We
present a case report of a lady diagnosed with malignant pedunculated hepatocellular carcinoma.

Matched MeSH terms: Radiology

Displaying publications 41 - 60 of 97 in total