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- Volume 14, Issue 5, 2018
Current Medical Imaging - Volume 14, Issue 5, 2018
Volume 14, Issue 5, 2018
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Nano-metal Organic Frame Work an Excellent Tool for Biomedical Imaging
Authors: Syed Shoaib A. Shah, Tayyaba Najam, Dan Cheng, Abdul Hafeez, Yi Lu and Amir WaseemBackground: Nano-Metal-Organic Frameworks (NMOFs) have stable pores in their assembly. In the recent era, these have been used in biomedicine, magnetic and electronic devices and sensors. MOFs also have a potential concern in biomedical applications, a new substitute of therapeutic and/or diagnostic materials, among others. Initially, NMOFs have been used as delivery vehicles for imaging contrast agents Read More
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A Review of Denoising Medical Images Using Machine Learning Approaches
Authors: Prabhpreet Kaur, Gurvinder Singh and Parminder KaurBackground: This paper attempts to identify suitable Machine Learning (ML) approach for image denoising of radiology based medical application. The Identification of ML approach is based on (i) Review of ML approach for denoising (ii) Review of suitable Medical Denoising approach. Discussion: The review focuses on six application of radiology: Medical Ultrasound (US) for fetus development, US Computer Aided Diagn Read More
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Tumorous Spinal Lesions: Computer Aided Diagnosis and Evaluation Based on CT Data - A Review
Authors: Jiri Chmelik, Roman Jakubicek and Jiri JanBackground: “Computer Aided Diagnosis (CAD)” methods are today considered an important means to facilitate and speed-up the work of medical experts, namely in detection, segmentation, and classification of both healthy and pathologic structures in medical image data. Discussion: This paper provides an overview of such recently published methods aimed at analysing metastatic lesions in the spine using CT imaging. Mo Read More
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A Brief Review of Radiofrequency Coils for Cardiac Magnetic Resonance Imaging and Spectroscopy
Background: Cardiac Magnetic Resonance (CMR) represents one of the most valuable modalities for the non-invasive diagnosis and characterization of cardiovascular diseases. CMR proton imaging is the state-of-the-art diagnostic tool for myocardial morphology and function evaluation. CMR Spectroscopy is a very powerful tool for exploration of tissue components and metabolism of the myocardium, through Read More
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Image Enhancement and Segmentation Techniques for Detection of Knee Joint Diseases: A Survey
Authors: Tanzila Saba, Amjad Rehman, Zahid Mehmood, Hoshang Kolivand and Muhammad SharifBackground: Knee bone diseases are rare but might be highly destructive. Magnetic Resonance Imaging (MRI) is the main approach to identify knee cancer and its treatment. Normally, the knee cancers are detected with the help of different MRI analysis techniques and later image analysis strategies assess these images. Discussion: Computer-based medical image analysis is getting researcher's interest due to its advantage Read More
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Changes in the Anatomical Nomenclature of Sella Turcica: Turkish Saddle
Authors: Mehmet H. Akgul, Veysel Burulday and Nuray Bayar MulukBackground: ‘Sella turcica’ was first described in 1543. The “De humani corporis fabrica” is the name of a book by Andreas Vesalius that first described the ‘sella turcica’. After this date, it was called the ‘sella ephippi’, ‘sphenoidis sella’, or ‘sella equine’. In 1627, the famous anatomist Adrianus Spigelius developed the current definition of the term. Discussion: The Ottoman military power was at its highest level and a se Read More
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T2 Signal Intensity of the Trigeminal Nerve: A New Diagnostic Criteria for Trigeminal Neuralgia?
Authors: Ozlem K. Kaya, Alpay Alkan, Mustafa A. Hatiboglu, Gizem Timocin, Bahar A. Badur and Mehmet BilginObjectives: The objectives of this study were to: 1) compare the size and T2 signal intensity of the trigeminal nerves on the symptomatic side and asymptomatic side of the patients with idiopathic trigeminal neuralgia and to correlate these morphological findings with each other in order to assess whether Magnetic Resonance Imaging (MRI) can provide evidence of microstructural changes in the affected trigeminal nerve th Read More
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Thyroid Nodules: Too Many Fine Needle Biopsies?
Background: Fine needle biopsies are used to diagnose thyroid cancer. Nevertheless most thyroid nodules are benign so FNA is performed too often. It is very important to recognize which echographic features can help to predict benignity and avoid unnecessary biopsies. Purpose: To prospectively evaluate several ultrasonographic patterns, and the presence of comet tail artifacts, for predicting thyroid nodule benignit Read More
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A Novel Reconstruction Approach Combining Global and Local Low-rank Constraints for Undersampled Dynamic MRI
Authors: Changfeng Xi, Jinxu Tao, Bensheng Qiu, Zhongfu Ye and Jinzhang XuBackground: Dynamic Magnetic Resonance Imaging (MRI) can be used to diagnose organs' motion, so it is useful and has been used widely. Reconstructing dynamic MRI from undersampled measurements can accelerate the imaging speed, this has attracted the attention of many researchers. For dynamic MRI, there is much global and local correlation in spatial and temporal dimensions, and if the spatial and temp Read More
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Evaluation of Correlation of MRI Characteristics of Cerebral Palsy Children with CP Type, GMFCS and Gestational Age
Authors: Xin Zhang, Xueluan Chen and Xinxian ZhangObjective: The present study was aimed at investigating the correlation of MRI characteristics of Cerebral Palsy (CP) pediatric patients with their gestational age, type of CP and Gross Motor Function Classification System (GMFCS). Methods: 120 cases of children with cerebral palsy admitted to our hospital from May 2015 to May 2016 were selected as study subjects. MRI data were observed and the correlation of MRI characteri Read More
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A Cerebrovascular Image Segmentation Method Based on Geometrical Feature Point Clustering and Local Threshold
Authors: Bin Liu, Chen Zhu, Xiaofeng Qu, Mingzhe Wang, Song Zhang, Yi Wang, Xin Fan, Zhongxuan Luo, Bingbing Zhang and Zongge YueBackground: For the cerebrovascular Digital Subtraction Angiography (DSA), how to restrain the patient motion artifact to improve the quality of subtraction image has an important effect on the clinical diagnosis. Methods: Currently, image registration is the main way to extract the blood vessels. However, there is usually massive calculation in the registration process. And it is usually only suitable for simple rigid motion ar Read More
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Automated Computerized Method for the Detection of Unruptured Cerebral Aneurysms in DSA Images
Authors: Ines Rahmany, Sabrine Laajili and Nawres KhlifaIntroduction: We present in this paper an automatic detection system of brain aneurysms in Digital Subtraction Angiography (DSA) images. Methods: The approach proposed here relies on two main steps: A region-based segmentation using the Otsu method is first employed in order to extract the vascular structure. Then a combination of the Zernike moments and MSER detector is used to detect aneurysms. Result: In o Read More
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A Comparative Approach of Brain Tumor Detection Using SVM, DCT and Huffman Coding in Compressed Domain
Authors: Nilesh B. Bahadure, Arun Kumar Ray and Har Pal ThethiBackground: This study does the qualitative analysis of segmentation technique with compression and authentication to provide improved and advanced e–health care system. This study addresses three main problems of brain tumor detection, one is to find the region of interest, second is to authenticate patient information and third is to minimize memory space for a large dataset of medical images. Methods: The propose Read More
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Is there a Relationship Between Keros Classification of Olfactory Fossae Depth, Septal Deviation Angle and the Distance Between Infraorbital Foramens?
Authors: Mikail Inal, Nuray B. Muluk, Osman Kursat Arikan and Safa SahinObjectives: We retrospectively investigated the relationship between olfactory fossae depth, septal deviation angle, paranasal sinuses and the distance between infraorbital foramens (IOFs). Methods: Computerized Tomography (CT) images of 315 adult subjects were used. Paranasal sinus dimensions; Keros classification of olfactory fossae, length of Crista Galli (CG), the distance between IOFs (ZP), The distance between inf Read More
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The Assessment of Maxillofacial Soft Tissue and Intracranial Calcifications via Cone-beam Computed Tomography
Authors: Melih Ozdede, Aylin Kayadugun, Ozlem Ucok, Bulent Altunkaynak and Ilkay PekerBackground: Cone-beam Computed Tomography (CBCT) scans obtained with larger field of view let us see various incidental findings, anatomical variations and pathologies, like intracranial and soft tissue calcifications. Objective: The purpose of this retrospective study was to determine the prevalence of intracranial and soft tissue calcifications via CBCT. Methods: Full volume (maxillofacial region) scans of 290 patients achiev Read More
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Digital Infrared Thermal Imaging Analysis of Thyroid Nodules
Authors: Erdem A. Cetinkaya, Koray Koc, Sevgi Atilgan, Nuray Bayar Muluk and Cemal CingiObjectives: In this study, Digital Infrared Thermal Imaging (DITI) was designed based on a noninvasive system that could display and detect the relative temperature variations in patients suffering from thyroid nodules especially nonpalpables. Methods: In this prospective clinical trial, Infrared Thermal Camera (IRC) was used alternative to conventional clinical thermometers. 32 patients confirmed with thyroid nodules and volun Read More
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Fusion of Three Band Magnetic Resonance Images Using Sharp Frequency Localized Contourlet Transform
Authors: K. Kannan and S. A. PerumalBackground: T1, T2 and PD weighted images are the three bands of magnetic resonance image and they provide complementary information of the structure of the part being imaged. It is more useful for diagnosis and analysis if they are fused into MRI triplet. Discussion: This paper proposes a novel fusion method using Selective Frequency Localization Contourlet Transform to combine these three bands into one. Conclusion: Read More
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The Clinical Application of Infrared Thermal Imaging in Lumbocrural Pain
Authors: Xiao Chen and Yongbing HuObjectives: Our study aimed to investigate the role of infrared thermal imaging in differential diagnosis of Lumbar Disc Herniation (LDH). 180 patients with lumbocrural pain and clinically suspected of having LDH were selected from January 2015 to March 2016 during their hospitalization in Xiangyang No. 1 People's Hospital, Hubei University of Medicine. Methods: 62 of those cases were diagnosed by X-ray Computed Tomogr Read More
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Identification of Uterine Fibroids using Enhanced Image Mining Techniques: Bio-Inspired Xenogenetic Based Extreme Learning Neural Network Classification with Improved Fireflies Hausdorff Distance
Authors: D. Sasikumar and P. RajendranBackground: Uterine Fibroids are common non-cancerous cell growth in muscular wall of the uterus and these do not create any symptoms, but the size and location of these fibroids lead to several problems for women such as pain and heavy bleeding during the menstrual cramps. Many algorithms have been developed and each one has its own merits and demerits. However, none of the algorithms has reached 100% ac Read More
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18F-fluoro-deoxy-D-glucose PET/CT in Establishing the Relationship Between the Metabolic Activity of Aorta and Iliac Artery Aneurysms in Cancer Patients
Background: The aim of the study was to investigate the metabolic activity of aneurysms of the main arteries. It has been done in retrospective analysis of routine oncological 18FDG PET-CT. Materials and Methods: In our material (2 925 FDG PET/CT studies), aneurysms were found in 26 patients (8 F/18 M), 5 of whom had inflammatory aneurysms. The diameter of the aneurysm was measured at its widest point, while the Read More
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Volumes & issues
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Volume 20 (2024)
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Volume 19 (2023)
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Volume 18 (2022)
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Volume 17 (2021)
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Volume 16 (2020)
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Volume 15 (2019)
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Volume 14 (2018)
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Volume 13 (2017)
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Volume 12 (2016)
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Volume 11 (2015)
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Volume 10 (2014)
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Volume 9 (2013)
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Volume 8 (2012)
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Volume 7 (2011)
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Volume 6 (2010)
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Volume 5 (2009)
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Volume 4 (2008)
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Volume 3 (2007)
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Volume 2 (2006)
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Volume 1 (2005)
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