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- Volume 17, Issue 3, 2021
Current Medical Imaging - Volume 17, Issue 3, 2021
Volume 17, Issue 3, 2021
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An Efficient Cancer Classification Model for CT/MRI/PET Fused Images
Authors: S. Srimathi, G. Yamuna and R. NanmaranObjective: The aim was to study image fusion-based cancer classification models used to diagnose cancer and assess medical problems in earlier stages that help doctors or health care professionals to make the treatment plan accordingly. Methods: In this work, a novel image fusion method based on Curvelet transform is developed. CT and PET scan images of benign type tumors were fused together using the proposed fusio Read More
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Brain Tumor Segmentation of T1w MRI Images Based on Clustering Using Dimensionality Reduction Random Projection Technique
Authors: K. R. Babu, P.V. Nagajaneyulu and K. Satya PrasadBackground: Early diagnosis of a brain tumor may increase life expectancy. Magnetic resonance imaging (MRI) accompanied by several segmentation algorithms is preferred as a reliable method for assessment. The availability of high-dimensional medical image data during diagnosis places a heavy computational burden and a suitable pre-processing step is required for lower- dimensional representation. Th Read More
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The Learning-based Automatic Segmentation Algorithm of Brain MR Images Based on 7T
Authors: Minghui Deng, Jin Zhenhao, Ran Yu and Qingshuang ZengBackground: The learning-based algorithms provide an ability to automatically estimate and refine GM, WM and CSF. The ground truth manually achieved from the 3T MR image may not be accurate and reliable with poor image intensity contrast. It will seriously influence the classification performance because the supervised learning-based algorithms extremely rely on the ground truth. Recently, the 7T MR images brings Read More
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Optimal Model-Free Approach Based on MDL and CHL for Active Brain Identification in fMRI Data Analysis
Authors: Hussain A. Jaber, Ilyas Çankaya, Hadeel K. Aljobouri, Orhan M. Koçak and Oktay AlginBackground: Cluster analysis is a robust tool for exploring the underlining structures in data and grouping them with similar objects. In the researches of Functional Magnetic Resonance Imaging (fMRI), clustering approaches attempt to classify voxels depending on their time-course signals into a similar hemodynamic response over time. Objective: In this work, a novel unsupervised learning approach is proposed that Read More
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Free Area of the Spinal Canal and Torg’s Ratio in Acute Cervical Trauma and Degenerative Disease: MANCOVA and Correlational Analyses
Background: The two of the most common indications for magnetic resonance (MR) imaging of the cervical spine include acute spine trauma and degenerative disease. Objective: We aimed to correlate the measurements of the free area of the spinal canal (FASC), a new approach to the cervical spinal canal compromise, with the Torg´s ratio quantification of the cervical spine. Methods: A cross-sectional study including 50 Read More
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FDG-PET/CT Radiomics Models for The Early Prediction of Locoregional Recurrence in Head and Neck Cancer
Authors: Hu Cong, Wang Peng, Zhou Tian, Martin Vallières, Xu Chuanpei, Zhu Aijun and Zhang BenxinPurpose: Both CT and PET radiomics is considered as a potential prognostic biomarker in head and neck cancer. This study investigates the value of fused pre-treatment functional imaging (18F-FDG PET/CT) radiomics for modeling of local recurrence of head and neck cancers. Materials and Methods: Firstly, 298 patients have been divided into a training set (n = 192) and verification set (n = 106). Secondly, PETs and CTs are fu Read More
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The Radiological Evaluation of Posterior Superior Alveolar Artery by Using CBCT
Authors: Hazal Karslioglu, Mesude Çitir, Kaan Gunduz and Pelin KasapBackground: Evaluation of the maxillary sinus anatomy prior to sinus lift procedures is important to avoid surgical complications due to the close anatomical relationship between the posterior maxillary region and the maxillary sinüs. Introduction: In order to avoid traumatizing the posterior superior alveolar artery and to prevent perioperative bleeding, locating the exact position of the artery is imperative before the surgical Read More
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Computed Tomography in the Diagnosis of Ascites: The Role of Fluid Attenuation Values
Authors: Paul-Andrei Ştefan, Andrei Lebovici, Csaba Csutak and Carmen M. MihuBackground: Intraperitoneal fluid accumulations are a common matter in current clinical practice, being encountered by most medical and surgical fields. Objective: To assess ascites fluid with attenuation values in the form of Hounsfield units (HU) in order to determine a non-invasive differentiation criterion for the diagnosis of intraperitoneal collections. Methods: Sixty patients with known intra-peritoneal collections wh Read More
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Computer Simulation of the Effects of Contrast Protocols on Aortic Signal Intensity on Magnetic Resonance Angiograms
Authors: Toru Higaki, Yuko Nakamura, Fuminari Tatsugami, Wataru Fukumoto and Kazuo AwaiBackground: While iodine-enhanced computed tomography has been studied, detailed information on gadolinium-enhanced magnetic resonance imaging has not been reported. Objective: We evaluated the effects of different gadolinium contrast agent (Gd-CA) factors on the enhancement of aortic magnetic resonance angiography (MRA) using computer simulation. Methods: We developed computer-simulation software that c Read More
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Evaluation on Auto-segmentation of the Clinical Target Volume (CTV) for Graves' Ophthalmopathy (GO) with a Fully Convolutional Network (FCN) on CT Images
Authors: Jialiang Jiang, Yong Luo, Feng Wang, Yuchuan Fu, Hang Yu and Yisong HePurpose: The aim of this study is to evaluate the accuracy and dosimetric effects for auto- segmentation of the CTV for GO in CT images based on FCN. Methods: An FCN-8s network architecture for auto-segmentation was built based on Caffe. CT images of 121 patients with GO who have received radiotherapy at the West China Hospital of Sichuan University were randomly selected for training and testing. Two methods w Read More
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An Alternative Classification Scheme for Accessory Mental Foramen
Authors: Turgut Y. Yalcin, Kıvanc Bektaş-Kayhan, Ayca Yilmaz and Ilknur OzcanBackground: The mental foramen (MF) is an important anatomical landmark on the mandible. MFs may occur singly or with extra foramina (accessory mental foramen (AMF)). Objective: The aim of the present study was to discuss the importance of recognition and classification of AMFs. Methods: This study assessed CBCT images of 593 patients (208 male, 385 female) and proposed an AMF classification scheme based o Read More
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Evaluation and Comparative Correlation of Abdominal Fat Related Parameters in Obese and Non-obese Groups Using Computed Tomography
More LessBackground: Obesity is a significant risk factor for cardiovascular (CV) disease. Abdominal fat is composed of abdominal subcutaneous fat and intra-abdominal (visceral) fat. Computed tomography (CT) is considered one of the most accurate and reliable methods for assessing abdominal fat. Introduction: The present study was based on evaluating abdominal fat by computed tomography and the determination of associati Read More
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Diagnosis of Renal Diseases Based on Machine Learning Methods Using Ultrasound Images
Authors: Guanghan Li, Jian Liu, Jingping Wu, Yan Tian, Liyong Ma, Yuejun Liu, Bo Zhang, Shan Mou and Min ZhengBackground: The incidence rate of renal disease is high, which can cause end-stage renal disease. Ultrasound is a commonly used imaging method, including conventional ultrasound, color ultrasound, elastography, etc. Machine learning is a potential method which has been widely used in clinical practices. Objective: To compare the diagnostic performance of different ultrasonic image measurement parameters for kidney disease Read More
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Calcium-suppressed Technique in Dual-layer Detector Computed Tomography to Evaluate Knee Articular Cartilage
Authors: Qinglin Meng, Mengqi Liu, Weiwei Deng, Ke Chen, Botao Wang, Xiaohuan Zhang and Zhiye ChenBackground: Calcium-suppressed (CaSupp) technique involving spectral-based images has been used to observe bone marrow edema by removing calcium components from the image. Objective: This study aimed to evaluate the knee articular cartilage using the CaSupp technique in dual-layer detector computed tomography (DLCT). Methods: Twenty-eight healthy participants and two patients with osteoarthritis were enrolled, w Read More
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Cystic Hygroma with Multiple Benign Bone Lymphangiomas in an Adult Patient: A Rare Entity in the Differential Diagnosis of Multiple Osseous Lesions in Oncology Practice
Authors: Ferit Aslan, İnanç Güvenç, Aydın Aslan and Elif GünaydınCystic lymphangioma presenting with multiple bone lesions in an adult patient is a rare occurrence, with a limited number of reported cases in the literature. In this case report, we describe a 32-year old female patient with chronic neck and pelvic pain, and multiple lytic bone lesions on radiological imaging, which were eventually discovered to originate from cystic hygroma and widespread bone lymphangiomas that wer Read More
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Endometriotic Intramyometrial Cyst –A Diagnostic Dilemma
Authors: Anand D. Bhatt, Keeranmayee Mishra and Vishal ChavdaBackground: Endometriosis is a pathological state in which the endometrial glands and stroma are originated at sites other than the uterine cavity. Endometriotic cystic lesions are principally positioned in ovaries but, infrequently, can also be encountered in the myometrium. It is a rare manifestation which poses a multitude of differential diagnoses and therapeutic options. Case Study: A 27-year-old female patient walke 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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