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https://www.readbyqxmd.com/read/28432822/focal-liver-lesions-segmentation-and-classification-in-nonenhanced-t2-weighted-mri
#1
Ilias Gatos, Stavros Tsantis, Maria Karamesini, Stavros Spiliopoulos, Dimitris Karnabatidis, John D Hazle, George C Kagadis
PURPOSE: To automatically segment and classify focal liver lesions (FLLs) on nonenhanced T2-weighted magnetic resonance imaging (MRI) scans using a computer-aided diagnosis (CAD) algorithm. METHODS: 71 FLLs (30 benign lesions, 19 hepatocellular carcinomas, and 22 metastases) on T2-weighted MRI scans were delineated by the proposed CAD scheme. The FLL segmentation procedure involved wavelet multiscale analysis to extract accurate edge information and mean intensity values for consecutive edges computed using horizontal and vertical analysis that were fed into the subsequent fuzzy C-means algorithm for final FLL border extraction...
April 22, 2017: Medical Physics
https://www.readbyqxmd.com/read/28429195/computer-assisted-diagnosis-system-for-breast-cancer-in-computed-tomography-laser-mammography-ctlm
#2
Afsaneh Jalalian, Syamsiah Mashohor, Rozi Mahmud, Babak Karasfi, M Iqbal Saripan, Abdul Rahman Ramli
Computed tomography laser mammography (Eid et al. Egyp J Radiol Nucl Med, 37(1): p. 633-643, 1) is a non-invasive imaging modality for breast cancer diagnosis, which is time-consuming and challenging for the radiologist to interpret the images. Some issues have increased the missed diagnosis of radiologists in visual manner assessment in CTLM images, such as technical reasons which are related to imaging quality and human error due to the structural complexity in appearance. The purpose of this study is to develop a computer-aided diagnosis framework to enhance the performance of radiologist in the interpretation of CTLM images...
April 20, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28428829/semivariogram-analysis-of-bone-images-implemented-on-fpga-architectures
#3
Mukul Shirvaikar, Yamuna Lagadapati, Xuanliang Dong
Osteoporotic fractures are a major concern for the healthcare of elderly and female populations. Early diagnosis of patients with a high risk of osteoporotic fractures can be enhanced by introducing second-order statistical analysis of bone image data using techniques such as variogram analysis. Such analysis is computationally intensive thereby creating an impediment for introduction into imaging machines found in common clinical settings. This paper investigates the fast implementation of the semivariogram algorithm, which has been proven to be effective in modeling bone strength, and should be of interest to readers in the areas of computer-aided diagnosis and quantitative image analysis...
March 2017: J Real Time Image Process
https://www.readbyqxmd.com/read/28422672/aiimds-an-integrated-framework-of-automatic-idiopathic-inflammatory-myopathy-diagnosis-for-muscle
#4
Manish Sapkota, Fujun Liu, Yuanpu Xie, Hai Su, Fuyong Xing, Lin Yang
Idiopathic Inflammatory Myopathy (IIM) is a common skeletal muscle disease that relates to weakness and inflammation of muscle. Early diagnosis and prognosis of different types of IIMs will guide the effective treatment. Interpretation of digitized images of the cross section muscle biopsy, which is currently done manually, provides the most reliable diagnostic information. With the increasing volume of images, the management and manual interpretation of the digitized muscle images suffer from low efficiency and high interobserver variabilities...
April 13, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28419509/automatic-diagnosis-of-vulvovaginal-candidiasis-from-pap-smear-images
#5
M Momenzadeh, M Sehhati, A Mehri Dehnavi, A Talebi, H Rabbani
Vulvovaginal candidiasis (VVC) is the most common genital infections that are seen every day in clinics. This infection is due to excessive growth of Candida that are normally present in the vagina in small numbers. Diagnosis of VVC is routinely done by direct microscopy of Pap smear samples and searching for the Candida in the Pap smear glass slides. This manual method is subjective, time consuming, labour-intensive and tedious. This study presents a computer-aided diagnostic (CAD) method to improve human diagnosis of VVC...
April 17, 2017: Journal of Microscopy
https://www.readbyqxmd.com/read/28416314/the-use-of-a-novel-approach-for-the-instrumentation-of-a-cone-beam-computed-tomography-discernible-lateral-canal-in-an-unusual-maxillary-incisor-case-report
#6
Antonis Chaniotis, Christos G Filippatos
Lateral and apical ramifications of the main root canal create potential pathways through which bacteria can spread and remain unaffected by treatment procedures. It is a challenge for the specialty to find techniques that can predictably reach, disinfect, and obturate these ramifications. Here, we report the use of a novel instrumentation approach to aid in the negotiation and management of a lateral canal discernible on cone-beam computed tomography (CBCT) in an unusual maxillary central incisor. A 23-year-old female patient was referred for evaluation and possible treatment of tooth 9...
April 14, 2017: Journal of Endodontics
https://www.readbyqxmd.com/read/28412162/incidence-and-clinical-features-of-sacral-insufficiency-fracture-in-the-emergency-department
#7
Yasuaki Tamaki, Akihiro Nagamachi, Kazumasa Inoue, Makoto Takeuchi, Kosuke Sugiura, Yasuyuki Omichi, Shunsuke Tamaki, Takashi Chikawa, Koichi Sairyo, Keisuke Adachi
INTRODUCTION: A sacral insufficiency fracture (SIF) often manifests as low back pain or sciatica in the absence of any antecedent trauma. These fractures may be missed because of lack of appropriate imaging. The purpose of this study was to clarify the incidence and clinical features of SIF as well as the characteristic findings on magnetic resonance imaging (MRI) of the lumbar spine. MATERIALS AND METHODS: The study participants comprised 250 patients (132 male, 118 female; mean age 58...
March 18, 2017: American Journal of Emergency Medicine
https://www.readbyqxmd.com/read/28410505/multi-atlas-pancreas-segmentation-atlas-selection-based-on-vessel-structure
#8
Ken'ichi Karasawa, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Chengwen Chu, Guoyan Zheng, Daniel Rueckert, Kensaku Mori
Automated organ segmentation from medical images is an indispensable component for clinical applications such as computer-aided diagnosis (CAD) and computer-assisted surgery (CAS). We utilize a multi-atlas segmentation scheme, which has recently been used in different approaches in the literature to achieve more accurate and robust segmentation of anatomical structures in computed tomography (CT) volume data. Among abdominal organs, the pancreas has large inter-patient variability in its position, size and shape...
March 31, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28409843/reproducibility-of-quantitative-high-throughput-bi-rads-features-extracted-from-ultrasound-images-of-breast-cancer
#9
Yuzhou Hu, Mengyun Qiao, Yi Guo, Yuanyuan Wang, Jinhua Yu, Jiawei Li, Cai Chang
PURPOSE: Digital Breast Imaging Reporting and Data System (BI-RADS) features extracted from ultrasound images are essential in computer-aided diagnosis, prediction, and prognosis of breast cancer. This study focuses on the reproducibility of quantitative high-throughput BI-RADS features in the presence of variations due to different segmentation results, various ultrasound machine models, and multiple ultrasound machine settings. METHODS: Data set 1 consists of 399 patients with invasive breast cancer and is used as the training set to measure the reproducibility of features, while data set 2 consists of 138 other patients and is a validation set used to evaluate the diagnosis performances of the final reproducible features...
April 13, 2017: Medical Physics
https://www.readbyqxmd.com/read/28401439/primary-extracranial-meningioma-a-rare-location
#10
Inara Carneiro Costa Rege, Robson Rodrigues Garcia, Elismauro Francisco Mendonça
Meningiomas are benign extraaxial tumors of the central nervous system (CNS). Extracranial meningiomas are extremely rare (2%) and can develop as a direct extension from a primary intracranial meningioma or as true primary extracranial meningioma originating from ectopic arachnoid cells. Only eight cases of primary meningioma in the jaw have been reported to date. Extracranial meningiomas are frequently misdiagnosed, resulting in inappropriate clinical management. The aim of this article was to describe the case of a man with an asymptomatic swelling in the right retromolar area over a period of 2 months...
April 11, 2017: Head and Neck Pathology
https://www.readbyqxmd.com/read/28397182/evaluation-and-clinical-correlation-of-practical-cut-offs-for-visual-rating-scales-of-atrophy-normal-aging-versus-mild-cognitive-impairment-and-alzheimer-s-disease
#11
Anne-Sophie Vanhoenacker, Bernard Sneyers, Frederik De Keyzer, Sam Heye, Philippe Demaerel
Age-related brain atrophy is a common finding, but neurodegenerative diseases such as Alzheimer's disease are associated with accelerated atrophy of the medial temporal lobe. In current practice for brain atrophy evaluation, several rating scales are being used such as the medial temporal atrophy (MTA), global cortical atrophy-frontal subscale (GCA-F) and posterior atrophy (PA) scales. Practical cut-offs to differentiate between normal and advanced brain atrophy are needed, because of their possible usefulness as a biomarker...
April 10, 2017: Acta Neurologica Belgica
https://www.readbyqxmd.com/read/28392995/a-computer-aided-diagnostic-system-for-kidney-disease
#12
Farzad Firouzi Jahantigh, Behnam Malmir, Behzad Aslani Avilaq
BACKGROUND: Disease diagnosis is complicated since patients may demonstrate similar symptoms but physician may diagnose different diseases. There are a few number of investigations aimed to create a fuzzy expert system, as a computer aided system for disease diagnosis. METHODS: In this research, a cross-sectional descriptive study conducted in a kidney clinic in Tehran, Iran in 2012. Medical diagnosis fuzzy rules applied, and a set of symptoms related to the set of considered diseases defined...
March 2017: Kidney Research and Clinical Practice
https://www.readbyqxmd.com/read/28392819/computer-based-technologies-in-dentistry-types-and-applications
#13
REVIEW
Raja'a M Albuha Al-Mussawi, Farzaneh Farid
During dental education, dental students learn how to examine patients, make diagnosis, plan treatment and perform dental procedures perfectly and efficiently. However, progresses in computer-based technologies including virtual reality (VR) simulators, augmented reality (AR) and computer aided design/computer aided manufacturing (CAD/CAM) systems have resulted in new modalities for instruction and practice of dentistry. Virtual reality dental simulators enable repeated, objective and assessable practice in various controlled situations...
June 2016: Journal of Dentistry of Tehran University of Medical Sciences
https://www.readbyqxmd.com/read/28391812/an-enhancement-method-for-color-retinal-images-based-on-image-formation-model
#14
Li Xiong, Huiqi Li, Liang Xu
BACKGROUND AND OBJECTIVE: The good quality of color retinal image is essential for doctors to make a reliable diagnose in clinics. Due to major reasons like acquisition process and retinal diseases, most retinal images can show poor illuminance, blur and low contrast, further impeding the process of identifying the underlying retinal condition. METHODS: Image formation model of scattering is proposed to enhance color retinal images in this paper. Two parameters of this model, background illuminance and transmission map, are estimated based on extracted background and foreground...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28391807/automatic-liver-segmentation-from-abdominal-ct-volumes-using-graph-cuts-and-border-marching
#15
Miao Liao, Yu-Qian Zhao, Xi-Yao Liu, Ye-Zhan Zeng, Bei-Ji Zou, Xiao-Fang Wang, Frank Y Shih
BACKGROUND AND OBJECTIVE: Identifying liver regions from abdominal computed tomography (CT) volumes is an important task for computer-aided liver disease diagnosis and surgical planning. This paper presents a fully automatic method for liver segmentation from CT volumes based on graph cuts and border marching. METHODS: An initial slice is segmented by density peak clustering. Based on pixel- and patch-wise features, an intensity model and a PCA-based regional appearance model are developed to enhance the contrast between liver and background...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28389809/computer-aided-diagnosis-of-malignant-or-benign-thyroid-nodes-based-on-ultrasound-images
#16
Qin Yu, Tao Jiang, Aiyun Zhou, Lili Zhang, Cheng Zhang, Pan Xu
The objective of this study is to evaluate the diagnostic value of combination of artificial neural networks (ANN) and support vector machine (SVM)-based CAD systems in differentiating malignant from benign thyroid nodes with gray-scale ultrasound images. Two morphological and 65 texture features extracted from regions of interest in 610 2D-ultrasound thyroid node images from 543 patients (207 malignant, 403 benign) were used to develop the ANN and SVM models. Tenfold cross validation evaluated their performance; the best models showed accuracy of 99% for ANN and 100% for SVM...
April 7, 2017: European Archives of Oto-rhino-laryngology
https://www.readbyqxmd.com/read/28387702/patient-education-for-endoscopic-sinus-surgery-preliminary-experience-using-3d-printed-clinical-imaging-data
#17
Ian M Sander, Taimi T Liepert, Evan L Doney, W Matthew Leevy, Douglas R Liepert
Within the Ear, Nose, and Throat (ENT) medical space, a relatively small fraction of patients follow through with elective surgeries to fix ailments such as a deviated septum or occluded sinus passage. Patient understanding of their diagnosis and treatment plan is integral to compliance, which ultimately yields improved medical outcomes and better quality of life. Here we report the usage of advanced, polyjet 3D printing methods to develop a multimaterial replica of human nasal sinus anatomy, derived from clinical X-ray computed tomography (CT) data, to be used as an educational aid during physician consultation...
April 7, 2017: Journal of Functional Biomaterials
https://www.readbyqxmd.com/read/28379628/nuclear-spatial-and-spectral-features-based-evolutionary-method-for-meningioma-subtypes-classification-in-histopathology
#18
Kiran Fatima, Hammad Majeed, Humayun Irshad
Meningioma subtypes classification is a real-world multiclass problem from the realm of neuropathology. The major challenge in solving this problem is the inherent complexity due to high intra-class variability and low inter-class variation in tissue samples. The development of computational methods to assist pathologists in characterization of these tissue samples would have great diagnostic and prognostic value. In this article, we proposed an optimized evolutionary framework for the classification of benign meningioma into four subtypes...
April 5, 2017: Microscopy Research and Technique
https://www.readbyqxmd.com/read/28378829/relevance-of-deep-learning-to-facilitate-the-diagnosis-of-her2-status-in-breast-cancer
#19
Michel E Vandenberghe, Marietta L J Scott, Paul W Scorer, Magnus Söderberg, Denis Balcerzak, Craig Barker
Tissue biomarker scoring by pathologists is central to defining the appropriate therapy for patients with cancer. Yet, inter-pathologist variability in the interpretation of ambiguous cases can affect diagnostic accuracy. Modern artificial intelligence methods such as deep learning have the potential to supplement pathologist expertise to ensure constant diagnostic accuracy. We developed a computational approach based on deep learning that automatically scores HER2, a biomarker that defines patient eligibility for anti-HER2 targeted therapies in breast cancer...
April 5, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28358032/a-hierarchical-feature-and-sample-selection-framework-and-its-application-for-alzheimer-s-disease-diagnosis
#20
Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Seong-Whan Lee, Dinggang Shen
Classification is one of the most important tasks in machine learning. Due to feature redundancy or outliers in samples, using all available data for training a classifier may be suboptimal. For example, the Alzheimer's disease (AD) is correlated with certain brain regions or single nucleotide polymorphisms (SNPs), and identification of relevant features is critical for computer-aided diagnosis. Many existing methods first select features from structural magnetic resonance imaging (MRI) or SNPs and then use those features to build the classifier...
March 30, 2017: Scientific Reports
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