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Texture mri

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https://www.readbyqxmd.com/read/28328503/fast-spin-echo-imaging-based-ept-with-k-space-weighting-via-t-sub-2-sub-relaxation-rept
#1
Jaewook Shin, Min-Oh Kim, Sungmin Cho, Dong-Hyun Kim
Magnetic resonance electrical property tomography (MREPT) is a technique used to extract the electrical properties of tissues (conductivity in particular) using a magnetic resonance imaging (MRI) system. In this work, we propose an improved data acquisition scheme for electrical property tomography technique by utilizing T2 modulation in fast spin echo (FSE) imaging. This technique was motivated by numerical analysis of conductivity reconstruction in the frequency domain; results reveal the spatial frequency-dependent noise texture of conventional methods...
March 17, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28325002/radiomic-analysis-of-multi-contrast-brain-mri-for-the-prediction-of-survival-in-patients-with-glioblastoma-multiforme
#2
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
Image texture features are effective at characterizing the microstructure of cancerous tissues. This paper proposes predicting the survival times of glioblastoma multiforme (GBM) patients using texture features extracted in multi-contrast brain MRI images. Texture features are derived locally from contrast enhancement, necrosis and edema regions in T1-weighted post-contrast and fluid-attenuated inversion-recovery (FLAIR) MRIs, based on the gray-level co-occurrence matrix representation. A statistical analysis based on the Kaplan-Meier method and log-rank test is used to identify the texture features related with the overall survival of GBM patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28319177/radiological-features-of-primitive-neuroectodermal-tumors-in-intra-abdominal-and-retroperitoneal-regions-a-series-of-18-cases
#3
Xiaoping Yi, Wenguang Liu, Youming Zhang, Desheng Xiao, Hongling Yin, Xueying Long, Li Li, Hongyan Zai, Minfeng Chen, Wenzheng Li, Lunquan Sun
OBJECTIVES: To characterize the imaging and clinicopathological features of primitive neuroectodermal tumors (PNETs) arising in intra-abdominal and retroperitoneal regions. METHODS: Eighteen patients with histopathologically proven intra-abdominal and retroperitoneal PNET were enrolled; computed tomography was performed for all cases, and magnetic resonance imaging was performed for a single case. Typical computed tomography and magnetic resonance imaging findings, including morphology, texture and enhancement features, as well as clinicopathological characteristics and prognosis data were retrospectively analyzed...
2017: PloS One
https://www.readbyqxmd.com/read/28285707/intratumoural-heterogeneity-measured-using-fdg-pet-and-mri-is-associated-with-tumour-stroma-ratio-and-clinical-outcome-in-head-and-neck-squamous-cell-carcinoma
#4
J W Choi, D Lee, S H Hyun, M Han, J-H Kim, S J Lee
AIM: To evaluate the association between the tumour-stroma ratio and intratumoural heterogeneity measured using 2-[(18)F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography (PET) and magnetic resonance imaging (MRI), and further investigate the prognostic significance of imaging biomarkers in head and neck squamous cell carcinoma (HNSCC). MATERIALS AND METHODS: Textural-based imaging parameters of the primary tumour were extracted in 44 patients. In addition, the difference between the minimum and maximum apparent diffusion coefficient (ADC) values (ADCdiff) was calculated on MRI...
March 9, 2017: Clinical Radiology
https://www.readbyqxmd.com/read/28283997/decision-support-system-for-detection-of-papilledema-through-fundus-retinal-images
#5
Shahzad Akbar, Muhammad Usman Akram, Muhammad Sharif, Anam Tariq, Ubaid Ullah Yasin
A condition in which the optic nerve inside the eye is swelled due to increased intracranial pressure is known as papilledema. The abnormalities due to papilledema such as opacification of Retinal Nerve Fiber Layer (RNFL), dilated optic disc capillaries, blurred disc margins, absence of venous pulsations, elevation of optic disc, obscuration of optic disc vessels, dilation of optic disc veins, optic disc splinter hemorrhages, cotton wool spots and hard exudates may result in complete vision loss. The ophthalmologists detect papilledema by means of an ophthalmoscope, Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and ultrasound...
April 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28282591/a-novel-computer-aided-diagnosis-system-for-breast-mri-based-on-feature-selection-and-ensemble-learning
#6
Wei Lu, Zhe Li, Jinghui Chu
Breast cancer is a common cancer among women. With the development of modern medical science and information technology, medical imaging techniques have an increasingly important role in the early detection and diagnosis of breast cancer. In this paper, we propose an automated computer-aided diagnosis (CADx) framework for magnetic resonance imaging (MRI). The scheme consists of an ensemble of several machine learning-based techniques, including ensemble under-sampling (EUS) for imbalanced data processing, the Relief algorithm for feature selection, the subspace method for providing data diversity, and Adaboost for improving the performance of base classifiers...
March 6, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28269719/3d-small-structure-detection-in-medical-image-using-texture-analysis
#7
Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett
Small structure segmentation from medical images is a challenging problem yet has important applications. Examples are labeling cell, lesion and glomeruli for disease diagnosis, just to name a few. Though extensive research has proposed various detectors for this type of problem, most are 2D detectors. Recently, we have developed a Hessian based 3D detector to segment small structures from medical images (e.g., MRI). In our detector, two 3D geometrical features: regional blobness and flatness, in conjunction with the intensity features are fully utilized to serve the segmentation purpose...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28258941/anatomical-and-mesoscopic-characterization-of-the-dystrophic-diaphragm-an-in-vivo-nuclear-magnetic-resonance-imaging-study-in-the-golden-retriever-muscular-dystrophy-dog
#8
J L Thibaud, B Matot, I Barthélémy, Y Fromes, S Blot, P G Carlier
Because respiratory failure remains a major issue in Duchenne Muscular Dystrophy patients, respiratory muscles are a key target of systemic therapies. In the Golden Retriever Muscular Dystrophy (GRMD) dogs, the disease shows strong clinical and histological similarities with the human pathology, making it a valuable model for preclinical therapeutic trials. We report here the first nuclear magnetic resonance (NMR) imaging anatomical study of the diaphragm in GRMD dogs and healthy controls. Both T1- and T2-weighted images of the diaphragm of seven healthy and thirteen GRMD dogs, from 3 to 36 months of age, were acquired on a 3 tesla NMR scanner...
February 7, 2017: Neuromuscular Disorders: NMD
https://www.readbyqxmd.com/read/28256615/associations-between-tumor-vascularity-vascular-endothelial-growth-factor-expression-and-pet-mri-radiomic-signatures-in-primary-clear-cell-renal-cell-carcinoma-proof-of-concept-study
#9
Qingbo Yin, Sheng-Che Hung, Li Wang, Weili Lin, Julia R Fielding, W Kimryn Rathmell, Amir H Khandani, Michael E Woods, Matthew I Milowsky, Samira A Brooks, Eric M Wallen, Dinggang Shen
Studies have shown that tumor angiogenesis is an essential process for tumor growth, proliferation and metastasis. Also, tumor angiogenesis is an important prognostic factor of clear cell renal cell carcinoma (ccRCC), as well as a factor in guiding treatment with antiangiogenic agents. Here, we attempted to find the associations between tumor angiogenesis and radiomic imaging features from PET/MRI. Specifically, sparse canonical correlation analysis was conducted on 3 feature datasets (i.e., radiomic imaging features, tumor microvascular density (MVD), and vascular endothelial growth factor (VEGF) expression) from 9 patients with primary ccRCC...
March 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28255033/mri-based-texture-analysis-to-differentiate-sinonasal-squamous-cell-carcinoma-from-inverted-papilloma
#10
S Ramkumar, S Ranjbar, S Ning, D Lal, C M Zwart, C P Wood, S M Weindling, T Wu, J R Mitchell, J Li, J M Hoxworth
BACKGROUND AND PURPOSE: Because sinonasal inverted papilloma can harbor squamous cell carcinoma, differentiating these tumors is relevant. The objectives of this study were to determine whether MR imaging-based texture analysis can accurately classify cases of noncoexistent squamous cell carcinoma and inverted papilloma and to compare this classification performance with neuroradiologists' review. MATERIALS AND METHODS: Adult patients who had inverted papilloma or squamous cell carcinoma resected were eligible (coexistent inverted papilloma and squamous cell carcinoma were excluded)...
March 2, 2017: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/28254615/quantitative-glioma-grading-using-transformed-gray-scale-invariant-textures-of-mri
#11
Kevin Li-Chun Hsieh, Cheng-Yu Chen, Chung-Ming Lo
BACKGROUND: A computer-aided diagnosis (CAD) system based on intensity-invariant magnetic resonance (MR) imaging features was proposed to grade gliomas for general application to various scanning systems and settings. METHOD: In total, 34 glioblastomas and 73 lower-grade gliomas comprised the image database to evaluate the proposed CAD system. For each case, the local texture on MR images was transformed into a local binary pattern (LBP) which was intensity-invariant...
February 27, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28231577/response-evaluation-in-head-and-neck-oncology-definition-and-prediction
#12
T K Hoffmann, P J Schuler, S Laban, R Grässlin, M Beer, A J Beer, U Friebe-Hoffmann, L Bullinger, P Möller, T Wiegel
Curative treatment of head and neck squamous cell carcinoma includes surgery and/or (chemo)radiation, whereas in the palliative setting, chemotherapy and/or immunotherapy represent(s) the standard approach. With regard to quality control, methods for determining treatment response are sorely needed. For surgical therapy, histopathology is the standard quality control. Established criteria for high-risk patients include resection margins of the primary tumor and extracapsular extension of lymph node metastases...
2017: ORL; Journal for Oto-rhino-laryngology and its related Specialties
https://www.readbyqxmd.com/read/28230716/experimental-texture-analysis-in-glioblastoma-a-methodological-study
#13
Nicolin Hainc, Christoph Stippich, Bram Stieltjes, Severina Leu, Andrea Bink
OBJECTIVES: Analysis of a single slice of a tumor to extract biomarkers for texture analysis may result in loss of information. We investigated correlation of fractional volumes to entire tumor volumes and introduced expanded regions of interest (ROIs) outside the visual tumor borders in glioblastoma. MATERIALS AND METHODS: Retrospective slice-by-slice volumetric texture analysis on 46 brain magnetic resonance imaging subjects with histologically confirmed glioblastoma was performed...
February 22, 2017: Investigative Radiology
https://www.readbyqxmd.com/read/28227983/3d-small-structure-detection-in-medical-image-using-texture-analysis
#14
Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett, Fei Gao, Min Zhang, Teresa Wu, Kevin M Bennett, Min Zhang, Teresa Wu, Fei Gao, Kevin M Bennett
Small structure segmentation from medical images is a challenging problem yet has important applications. Examples are labeling cell, lesion and glomeruli for disease diagnosis, just to name a few. Though extensive research has proposed various detectors for this type of problem, most are 2D detectors. Recently, we have developed a Hessian based 3D detector to segment small structures from medical images (e.g., MRI). In our detector, two 3D geometrical features: regional blobness and flatness, in conjunction with the intensity features are fully utilized to serve the segmentation purpose...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227398/radiomic-analysis-of-multi-contrast-brain-mri-for-the-prediction-of-survival-in-patients-with-glioblastoma-multiforme
#15
Ahmad Chaddad, Christian Desrosiers, Matthew Toews, Ahmad Chaddad, Christian Desrosiers, Matthew Toews, Christian Desrosiers, Ahmad Chaddad, Matthew Toews
Image texture features are effective at characterizing the microstructure of cancerous tissues. This paper proposes predicting the survival times of glioblastoma multiforme (GBM) patients using texture features extracted in multi-contrast brain MRI images. Texture features are derived locally from contrast enhancement, necrosis and edema regions in T1-weighted post-contrast and fluid-attenuated inversion-recovery (FLAIR) MRIs, based on the gray-level co-occurrence matrix representation. A statistical analysis based on the Kaplan-Meier method and log-rank test is used to identify the texture features related with the overall survival of GBM patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28217825/preoperative-prediction-of-muscular-invasiveness-of-bladder-cancer-with-radiomic-features-on-conventional-mri-and-its-high-order-derivative-maps
#16
Xiaopan Xu, Yang Liu, Xi Zhang, Qiang Tian, Yuxia Wu, Guopeng Zhang, Jiang Meng, Zengyue Yang, Hongbing Lu
PURPOSE: To determine radiomic features which are capable of reflecting muscular invasiveness of bladder cancer (BC) and propose a non-invasive strategy for the differentiation of muscular invasiveness preoperatively. METHODS: Sixty-eight patients with clinicopathologically confirmed BC were included in this retrospective study. A total of 118 cancerous volumes of interest (VOI) were segmented from patients' T2 weighted MR images (T2WI), including 34 non-muscle invasive bladder carcinomas (NMIBCs, stage <T2) and 84 muscle invasive ones (MIBCs, stage ≥T2)...
February 20, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/28199039/radiomics-assessment-of-bladder-cancer-grade-using-texture-features-from-diffusion-weighted-imaging
#17
Xi Zhang, Xiaopan Xu, Qiang Tian, Baojuan Li, Yuxia Wu, Zengyue Yang, Zhengrong Liang, Yang Liu, Guangbin Cui, Hongbing Lu
PURPOSE: To 1) describe textural features from diffusion-weighted images (DWI) and apparent diffusion coefficient (ADC) maps that can distinguish low-grade bladder cancer from high-grade, and 2) propose a radiomics-based strategy for cancer grading using texture features. MATERIALS AND METHODS: In all, 61 patients with bladder cancer (29 in high- and 32 in low-grade groups) were enrolled in this retrospective study. Histogram- and gray-level co-occurrence matrix (GLCM)-based radiomics features were extracted from cancerous volumes of interest (VOIs) on DWI and corresponding ADC maps of each patient acquired from 3...
February 15, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28196476/automatic-mri-segmentation-of-para-pharyngeal-fat-pads-using-interactive-visual-feature-space-analysis-for-classification
#18
Muhammad Laiq Ur Rahman Shahid, Teodora Chitiboi, Tetyana Ivanovska, Vladimir Molchanov, Henry Völzke, Lars Linsen
BACKGROUND: Obstructive sleep apnea (OSA) is a public health problem. Detailed analysis of the para-pharyngeal fat pads can help us to understand the pathogenesis of OSA and may mediate the intervention of this sleeping disorder. A reliable and automatic para-pharyngeal fat pads segmentation technique plays a vital role in investigating larger data bases to identify the anatomic risk factors for the OSA. METHODS: Our research aims to develop a context-based automatic segmentation algorithm to delineate the fat pads from magnetic resonance images in a population-based study...
February 14, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28190856/virilism-and-ectopic-expression-of-hsd17b5-in-mature-cystic-teratoma
#19
Yohei Kawaguchi, Hiroko Mizuno, Mai Horikawa, Mayuko Kano, Kengo Yamada, Fumiko Yamakawa, Takashi Maekawa, Yuto Yamazaki, Keely M McNamara, Hironobu Sasano, Masayuki Hayashi
Mature cystic teratoma (MCT) is rarely involved in the overproduction of steroid hormones in contrast to sex cord stromal tumors. A 31-year-old woman visited our hospital with hirsutism, hoarseness, and hair loss from the scalp. Serum testosterone and free-testosterone levels were 7.3 ng/ml and 2.3 pg/ml, respectively, which were markedly in excess of the age adjusted female standard levels. Basal blood levels of steroid hormones and serum levels of 17-hydroxyprogesterone at 1 h after intravenous injection of adrenocorticotropic hormone demonstrated that 21-hydroxylase deficiency was not the underlying cause of her virilization...
2017: Tohoku Journal of Experimental Medicine
https://www.readbyqxmd.com/read/28187893/computer-aided-grading-of-gliomas-based-on-local-and-global-mri-features
#20
Kevin Li-Chun Hsieh, Chung-Ming Lo, Chih-Jou Hsiao
BACKGROUND AND OBJECTIVES: A computer-aided diagnosis (CAD) system based on quantitative magnetic resonance imaging (MRI) features was developed to evaluate the malignancy of diffuse gliomas, which are central nervous system tumors. METHODS: The acquired image database for the CAD performance evaluation was composed of 34 glioblastomas and 73 diffuse lower-grade gliomas. In each case, tissues enclosed in a delineated tumor area were analyzed according to their gray-scale intensities on MRI scans...
February 2017: Computer Methods and Programs in Biomedicine
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