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MR image segmentation

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https://www.readbyqxmd.com/read/28808987/volume-expansion-of-periaqueductal-gray-in-episodic-migraine-a-pilot-mri-structural-imaging-study
#1
Zhiye Chen, Xiaoyan Chen, Mengqi Liu, Shuangfeng Liu, Lin Ma, Shengyuan Yu
BACKGROUND: The periaqueductal gray (PAG) dysfunction was recognized in migraine, and the nonspecific PAG lesions were also observed in episodic migraine (EM) recently. However, the PAG volume change was not totally detected in EM up to now. Herein, the aim of this study was to investigate altered PAG volume in EM patients based on high resolution brain structural image. METHODS: The brain structural images were obtained from 18 normal controls (NC), 18 EM patients and 16 chronic migraine (CM) on 3...
August 15, 2017: Journal of Headache and Pain
https://www.readbyqxmd.com/read/28808921/volumetric-abnormalities-of-thalamic-subnuclei-in-medication-overuse-headache
#2
Zhiye Chen, Zhihua Jia, Xiaoyan Chen, Mengqi Liu, Shuangfeng Liu, Lin Ma, Shengyuan Yu
BACKGROUND: The thalamus exerts a pivotal role in pain processing and cortical excitability control and a previous voxel-based morphometry study confirmed increased volume in bilateral thalamus in medication-overuse headache (MOH). The aim of this study is to investigate altered thalamic subnuclei volume in MOH compared with normal controls, and to evaluate the relationship of each thalamic subnuclei volume with the clinical variables. METHODS: High resolution three-dimensional T1-weighted fast spoiled gradient recalled echo MR images were obtained from 27 patients with MOH and 27 normal controls (NC)...
August 14, 2017: Journal of Headache and Pain
https://www.readbyqxmd.com/read/28807870/an-open-multi-vendor-multi-field-strength-brain-mr-dataset-and-analysis-of-publicly-available-skull-stripping-methods-agreement
#3
REVIEW
Roberto Souza, Oeslle Lucena, Julia Garrafa, David Gobbi, Marina Saluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto Lotufo
This paper presents an open, multi-vendor, multi-field strength magnetic resonance (MR) T1-weighted volumetric brain imaging dataset, named Calgary-Campinas-359 (CC-359). The dataset is composed of images of older healthy adults (29-80 years) acquired on scanners from three vendors (Siemens, Philips and General Electric) at both 1.5 T and 3 T. CC-359 is comprised of 359 datasets, approximately 60 subjects per vendor and magnetic field strength. The dataset is approximately age and gender balanced, subject to the constraints of the available images...
August 11, 2017: NeuroImage
https://www.readbyqxmd.com/read/28807363/deducing-magnetic-resonance-neuroimages-based-on-knowledge-from-samples
#4
Yuwei Jiang, Feng Liu, Mingxia Fan, Xuzhou Li, Zhiyong Zhao, Zhaoling Zeng, Yi Wang, Dongrong Xu
PURPOSE: Because individual variance always exists, using the same set of predetermined parameters for magnetic resonance imaging (MRI) may not be exactly suitable for each participant. We propose a knowledge-based method that can repair MRI data of undesired contrast as if a new scan were acquired using imaging parameters that had been individually optimized. METHODS: The method employed a strategy called analogical reasoning to deduce voxel-wise relaxation properties using morphological and biological similarity...
July 29, 2017: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/28803217/accurate-model-based-segmentation-of-gynecologic-brachytherapy-catheter-collections-in-mri-images
#5
Andre Mastmeyer, Guillaume Pernelle, Ruibin Ma, Lauren Barber, Tina Kapur
The gynecological cancer mortality rate, including cervical, ovarian, vaginal and vulvar cancers, is more than 20,000 annually in the US alone. In many countries, including the US, external-beam radiotherapy followed by high dose rate brachytherapy is the standard-of-care. The superior ability of MR to visualize soft tissue has led to an increase in its usage in planning and delivering brachytherapy treatment. A technical challenge associated with the use of MRI imaging for brachytherapy, in contrast to that of CT imaging, is the visualization of catheters that are used to place radiation sources into cancerous tissue...
July 18, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28795419/simultaneous-mr-thermometry-and-acoustic-radiation-force-imaging-using-interleaved-acquisition
#6
Joshua T de Bever, Henrik Odéen, Lorne W Hofstetter, Dennis L Parker
PURPOSE: A novel and practical method for simultaneously performing MR acoustic radiation force imaging (ARFI) and proton resonance frequency (PRF)-shift thermometry has been developed and tested. This could be an important tool for evaluating the success of MR-guided focused ultrasound procedures for which MR-thermometry measures temperature and thermal dose and MR-ARFI detects changes in tissue mechanical properties. METHODS: MR imaging was performed using a gradient recalled echo segmented echo-planar imaging pulse sequence with bipolar motion encoding gradients (MEG)...
August 10, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28774682/methods-for-molecular-imaging-of-brain-tumours-in-a-hybrid-mr-pet-context-water-content-t2%C3%A2-diffusion-indices-and-fet-pet
#7
A M Oros-Peusquens, R Loução, M Zimmermann, K-J Langen, N J Shah
The aim of this study is to present and evaluate a multiparametric and multi-modality imaging protocol applied to brain tumours and investigate correlations between these different imaging measures (R1.1). In particular, we describe a method for rapid, non-invasive, quantitative imaging of water content of brain tissue, based on a single multiple-echo gradient-echo (mGRE) acquisition. We include in the processing a method for noise reduction of the multi-contrast data based on Principal Component Analysis (PCA)...
July 31, 2017: Methods: a Companion to Methods in Enzymology
https://www.readbyqxmd.com/read/28772163/designing-image-segmentation-studies-statistical-power-sample-size-and-reference-standard-quality
#8
Eli Gibson, Yipeng Hu, Henkjan J Huisman, Dean C Barratt
Segmentation algorithms are typically evaluated by comparison to an accepted reference standard. The cost of generating accurate reference standards for medical image segmentation can be substantial. Since the study cost and the likelihood of detecting a clinically meaningful difference in accuracy both depend on the size and on the quality of the study reference standard, balancing these trade-offs supports the efficient use of research resources. In this work, we derive a statistical power calculation that enables researchers to estimate the appropriate sample size to detect clinically meaningful differences in segmentation accuracy (i...
July 22, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28767561/mixed-reality-in-visceral-surgery-development-of-a-suitable-workflow-and-evaluation-of-intraoperative-use-cases
#9
Igor M Sauer, Moritz Queisner, Peter Tang, Simon Moosburner, Ole Hoepfner, Rosa Horner, Rudiger Lohmann, Johann Pratschke
OBJECTIVE: The paper evaluates the application of a mixed reality (MR) headmounted display (HMD) for the visualization of anatomical structures in complex visceral-surgical interventions. A workflow was developed and technical feasibility was evaluated. SUMMARY OF BACKGROUND DATA: Medical images are still not seamlessly integrated into surgical interventions and, thus, remain separated from the surgical procedure.Surgeons need to cognitively relate 2-dimensional sectional images to the 3-dimensional (3D) during the actual intervention...
August 1, 2017: Annals of Surgery
https://www.readbyqxmd.com/read/28766919/turbulent-kinetic-energy-in-the-right-ventricle-potential-mr-marker-for-risk-stratification-of-adults-with-repaired-tetralogy-of-fallot
#10
Alexandru Fredriksson, Aleksandra Trzebiatowska-Krzynska, Petter Dyverfeldt, Jan Engvall, Tino Ebbers, Carl-Johan Carlhäll
PURPOSE: To assess right ventricular (RV) turbulent kinetic energy (TKE) in patients with repaired Tetralogy of Fallot (rToF) and a spectrum of pulmonary regurgitation (PR), as well as to investigate the relationship between these 4D flow markers and RV remodeling. MATERIALS AND METHODS: Seventeen patients with rToF and 10 healthy controls were included in the study. Patients were divided into two groups based on PR fraction: one lower PR fraction group (≤11%) and one higher PR fraction group (>11%)...
August 2, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28755324/volumetric-quantification-of-glioblastoma-experiences-with-different-measurement-techniques-and-impact-on-survival
#11
Christian Henker, Thomas Kriesen, Änne Glass, Björn Schneider, Jürgen Piek
The potential impact of different radiological features of glioblastoma multiforme (GBM) on overall survival (OS) like tumor volume, peritumoral edema (PTE), necrosis volume, necrosis-tumor ratio (NTR) and edema-tumor ratio (ETR) is still very controversial. To determine the influence of volumetric data on OS und to compare different measuring techniques described in literature. We prospectively evaluated preoperative MR images from 30 patients harboring a primary supratentorial GBM. All patients received gross-total tumor resection followed by standard radiation and chemotherapy (temozolomide)...
July 28, 2017: Journal of Neuro-oncology
https://www.readbyqxmd.com/read/28751515/concordance-of-time-of-flight-mra-and-digital-subtraction-angiography-in-adult-primary-central-nervous-system-vasculitis
#12
H de Boysson, G Boulouis, J-J Parienti, E Touzé, M Zuber, C Arquizan, N Dequatre, O Detante, B Bienvenu, A Aouba, L Guillevin, C Pagnoux, O Naggara
BACKGROUND AND PURPOSE: 3D-TOF-MRA and DSA are 2 available tools to demonstrate neurovascular involvement in primary central nervous system vasculitis. We aimed to compare the diagnostic concordance of vessel imaging using 3D-TOF-MRA and DSA in patients with primary central nervous system vasculitis. MATERIALS AND METHODS: We retrospectively identified all patients included in the French primary central nervous system vasculitis cohort of 85 patients who underwent, at baseline, both intracranial 3D-TOF-MRA and DSA in an interval of no more than 2 weeks and before treatment initiation...
July 27, 2017: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/28740350/cryptogenic-multifocal-ulcerous-stenosing-enteritis-radiologic-features-and-clinical-behavior
#13
Jiyoung Hwang, Jin Sil Kim, Ah Young Kim, Joon Seok Lim, Se Hyung Kim, Min Ju Kim, Mi Sung Kim, Kyoung Doo Song, Ji Young Woo
AIM: To investigate the characteristic radiologic findings of cryptogenic multifocal ulcerous stenosing enteritis (CMUSE) which can be differentiated from other similar bowel disease and to assess their clinical behavior. METHODS: Twenty pathologically and clinically confirmed CMUSE patients (males:females = 8:12; mean age: 40.4 years) between March 2002 and August 2015 from seven academic centers in South Korea were retrospectively reviewed. We evaluated small bowel series (SBS; n = 25), computed tomography (CT) enterography (n = 21), magnetic resonance (MR) enterography (n = 2), and abdominopelvic CT (n = 18) images, focusing on enteric and perienteric manifestations...
July 7, 2017: World Journal of Gastroenterology: WJG
https://www.readbyqxmd.com/read/28733975/deep-convolutional-neural-network-and-3d-deformable-approach-for-tissue-segmentation-in-musculoskeletal-magnetic-resonance-imaging
#14
Fang Liu, Zhaoye Zhou, Hyungseok Jang, Alexey Samsonov, Gengyan Zhao, Richard Kijowski
PURPOSE: To describe and evaluate a new fully automated musculoskeletal tissue segmentation method using deep convolutional neural network (CNN) and three-dimensional (3D) simplex deformable modeling to improve the accuracy and efficiency of cartilage and bone segmentation within the knee joint. METHODS: A fully automated segmentation pipeline was built by combining a semantic segmentation CNN and 3D simplex deformable modeling. A CNN technique called SegNet was applied as the core of the segmentation method to perform high resolution pixel-wise multi-class tissue classification...
July 21, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28728206/-subaxial-cervical-spine-injuries-treatment-recommendations-of-the-german-orthopedic-and-trauma-society
#15
Philipp Schleicher, Matti Scholz, Frank Kandziora, Andreas Badke, Florian Hans Brakopp, Helmut Klaus Friedrich Ekkerlein, Erol Gercek, Rene Hartensuer, Philipp Hartung, Jan-Sven Gilbert Jarvers, Philipp Kobbe, Stefan Matschke, Robert Morrison, Christian W Müller, Miguel Pishnamaz, Maximilian Reinhold, Klaus John Schnake, Gregor Schmeiser, Gregor Stein, Bernhard Ullrich, Thomas Weiß, Volker Zimmermann
In a consensus process during four sessions in 2016, the working group "lower cervical spine" of the German Society for Orthopedic and Trauma Surgery (DGOU), formulated "Therapeutic Recommendations for the Lower Cervical Spine", taking into consideration the current literature. Therapeutic goals are a permanently stable, painless cervical spine and the protection against secondary neurologic damage while retaining the greatest possible amount of motion and spinal profile. Due to its ease of use and its proven good reliability, the AOSpine classification for subaxial cervical injuries should be used...
July 20, 2017: Zeitschrift Für Orthopädie und Unfallchirurgie
https://www.readbyqxmd.com/read/28712700/radiomic-analysis-of-dce-mri-for-prediction-of-response-to-neoadjuvant-chemotherapy-in-breast-cancer-patients
#16
Ming Fan, Guolin Wu, Hu Cheng, Juan Zhang, Guoliang Shao, Lihua Li
OBJECTIVES: To enhance the accurate prediction of the response to neoadjuvant chemotherapy (NAC) in breast cancer patients by using a quantitative analysis of dynamic enhancement magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: A dataset of 57 cancer patients with breast DCE-MR images acquired before NAC was used. Among them, 47 patients were Responders, and 10 patients were non-Responders based on the RECIST criteria. The breast regions were segmented on the MR images, and a total of 158 radiomic features were computed to represent the morphologic, dynamic, and the texture of the tumors as well as the background parenchymal features...
June 28, 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28711767/fully-automated-subchondral-bone-segmentation-from-knee-mr-images-data-from-the-osteoarthritis-initiative
#17
Akash Gandhamal, Sanjay Talbar, Suhas Gajre, Ruslan Razak, Ahmad Fadzil M Hani, Dileep Kumar
Knee osteoarthritis (OA) progression can be monitored by measuring changes in the subchondral bone structure such as area and shape from MR images as an imaging biomarker. However, measurements of these minute changes are highly dependent on the accurate segmentation of bone tissue from MR images and it is challenging task due to the complex tissue structure and inadequate image contrast/brightness. In this paper, a fully automated method for segmenting subchondral bone from knee MR images is proposed. Here, the contrast of knee MR images is enhanced using a gray-level S-curve transformation followed by automatic seed point detection using a three-dimensional multi-edge overlapping technique...
July 8, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28710497/deep-learning-based-radiomics-dlr-and-its-usage-in-noninvasive-idh1-prediction-for-low-grade-glioma
#18
Zeju Li, Yuanyuan Wang, Jinhua Yu, Yi Guo, Wei Cao
Deep learning-based radiomics (DLR) was developed to extract deep information from multiple modalities of magnetic resonance (MR) images. The performance of DLR for predicting the mutation status of isocitrate dehydrogenase 1 (IDH1) was validated in a dataset of 151 patients with low-grade glioma. A modified convolutional neural network (CNN) structure with 6 convolutional layers and a fully connected layer with 4096 neurons was used to segment tumors. Instead of calculating image features from segmented images, as typically performed for normal radiomics approaches, image features were obtained by normalizing the information of the last convolutional layers of the CNN...
July 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28708550/unsupervised-myocardial-segmentation-for-cardiac-bold
#19
Ilkay Oksuz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A Tsaftaris
A fully automated 2D+time myocardial segmentation framework is proposed for Cardiac Magnetic Resonance (CMR) Blood-Oxygen-Level-Dependent (BOLD) datasets. Ischemia detection with CINE BOLD CMR relies on spatiotemporal patterns in myocardial intensity but these patterns also trouble supervised segmentation methods, the de-facto standard for myocardial segmentation in cine MRI. Segmentation errors severely undermine the accurate extraction of these patterns. In this paper we build a joint motion and appearance method that relies on dictionary learning to find a suitable subspace...
July 12, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28707958/gadofosveset-enhanced-thoracic-mr-venography-a-comparative-study-evaluating-steady-state-imaging-versus-conventional-first-pass-time-resolved-dynamic-imaging
#20
Teik C See, Andrew J Patterson, Nicholas J Hilliard, Ed Soh, Andrew P Winterbottom, Ilse Patterson, Richard A Parker, Martin J Graves, David J Lomas
Background Dedicated blood-pool contrast agents combined with optimal angiographic protocols could improve the diagnostic accuracy of thoracic magnetic resonance angiography (MRA). Purpose To assess the clinical utility of Gadofesveset-enhanced imaging and compare an optimized steady-state (SS) sequence against conventional first-pass dynamic multi-phase (DMP) imaging. Material and Methods Twenty-nine patients (17 men, 12 women; mean age = 42.7, age range = 18-72 years) referred for MR thoracic venography were recruited...
January 1, 2017: Acta Radiologica
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