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MR image segmentation

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https://www.readbyqxmd.com/read/28728206/-subaxial-cervical-spine-injuries-treatment-recommendations-of-the-german-orthopedic-and-trauma-society
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
https://www.readbyqxmd.com/read/28706185/deep-learning-for-fully-automated-localization-and-segmentation-of-rectal-cancer-on-multiparametric-mr
#7
Stefano Trebeschi, Joost J M van Griethuysen, Doenja M J Lambregts, Max J Lahaye, Chintan Parmer, Frans C H Bakers, Nicky H G M Peters, Regina G H Beets-Tan, Hugo J W L Aerts
Multiparametric Magnetic Resonance Imaging (MRI) can provide detailed information of the physical characteristics of rectum tumours. Several investigations suggest that volumetric analyses on anatomical and functional MRI contain clinically valuable information. However, manual delineation of tumours is a time consuming procedure, as it requires a high level of expertise. Here, we evaluate deep learning methods for automatic localization and segmentation of rectal cancers on multiparametric MR imaging. MRI scans (1...
July 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28704516/ultrasound-diagnosis-of-transverse-sinus-hypoplasia-using-flow-profiles-of-the-internal-jugular-vein
#8
A-Ching Chao, Ke Han, Feng-Chi Chang, Hung-Yi Hsu, Chih-Ping Chung, Wen-Yung Sheng, Lung Chan, Jiang Wu, Han-Hwa Hu
Accurate diagnosis of subtypes of transverse sinus (TS) hypoplasia requires more expensive methods like magnetic resonance (MR) imaging. We hypothesized ultrasound findings of the internal jugular vein (IJV) can be surrogate indicators for diagnosis of TS hypoplasia. MR images were reviewed in 131 subjects to evaluate TS diameter and the location and degree of venous flow stenosis and obstruction. Ultrasound parameters including the cross-sectional lumen area (CSA), time-average-mean velocity (TAMV), and flow volume (FV) at each IJV segment were also evaluated...
2017: PloS One
https://www.readbyqxmd.com/read/28698556/location-sensitive-deep-convolutional-neural-networks-for-segmentation-of-white-matter-hyperintensities
#9
Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Inge W M van Uden, Clara I Sanchez, Geert Litjens, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel
The anatomical location of imaging features is of crucial importance for accurate diagnosis in many medical tasks. Convolutional neural networks (CNN) have had huge successes in computer vision, but they lack the natural ability to incorporate the anatomical location in their decision making process, hindering success in some medical image analysis tasks. In this paper, to integrate the anatomical location information into the network, we propose several deep CNN architectures that consider multi-scale patches or take explicit location features while training...
July 11, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28691526/non-enhanced-versus-low-dose-contrast-enhanced-renal-magnetic-resonance-angiography-at-7-t-a-feasibility-study
#10
Anja Laader, Karsten Beiderwellen, Oliver Kraff, Stefan Maderwald, Mark E Ladd, Michael Forsting, Lale Umutlu
Background Considering the currently reported association between a repetitive application and cumulative dosage of Gadolinium (Gd)-based contrast agents and Gd-deposition in brain tissue as well as the risk for the advent of nephrogenic systemic fibrosis (NSF), techniques allowing for a dose reduction become an important key aspect aside from non-enhanced magnetic resonance angiography (MRA) techniques. Thus, this study was focused on the reduction and/or complete omission of contrast agent for renal MRA at 7T...
January 1, 2017: Acta Radiologica
https://www.readbyqxmd.com/read/28690355/evaluation-of-lung-tumor-motion-management-in-radiation-therapy-with-dynamic-mri
#11
Seyoun Park, Rana Farah, Steven M Shea, Erik Tryggestad, Russell Hales, Junghoon Lee
Surrogate-based tumor motion estimation and tracing methods are commonly used in radiotherapy despite the lack of continuous real time 3D tumor and surrogate data. In this study, we propose a method to simultaneously track the tumor and external surrogates with dynamic MRI, which allows us to evaluate their reproducible correlation. Four MRI-compatible fiducials are placed on the patient's chest and upper abdomen, and multi-slice 2D cine MRIs are acquired to capture the lung and whole tumor, followed by two-slice 2D cine MRIs to simultaneously track the tumor and fiducials, all in sagittal orientation...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28688951/non-contrast-enhanced-3d-mr-portography-within-a-breath-hold-using-compressed-sensing-acceleration-a-prospective-noninferiority-study
#12
Ayako Ono, Shigeki Arizono, Koji Fujimoto, Thai Akasaka, Rikiya Yamashita, Akihiro Furuta, Hiroyoshi Isoda, Kaori Togashi
PURPOSE: To evaluate images of non-contrast-enhanced 3D MR portography within a breath-hold (BH) using compressed sensing (CS) compared to standard respiratory-triggered (RT) sequences. MATERIALS AND METHODS: Fifty-nine healthy volunteers underwent MR portography using two sequences of balanced steady-state free-precession (bSSFP) with time-spatial labeling inversion pulses (Time-SLIP): BH bSSFP-CS and RT bSSFP. Two radiologists independently scored the diagnostic acceptability to delineate the portal branches (MPV: main portal vein; RPV: right portal vein; LPV: left portal vein; RPPV: right posterior portal vein; and P4 and P8: portal branch of segment 4 and segment 8, respectively) and the overall image quality on a four-point scale...
July 5, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28685666/mri-findings-of-lumbar-spine-instability-in-degenerative-spondylolisthesis
#13
Il Youp Cho, Si Young Park, Jong Hoon Park, Seung Woo Suh, Soon Hyuck Lee
PURPOSE: To find out the factors suggesting lumbar segmental instability in patients with degenerative spondylolisthesis (DS) on conventional magnetic resonance imaging (MRI). METHODS: Ninety-four patients with DS who underwent decompression surgery with or without fusion were selected. Patient demographics and findings on simple radiographs and MRI were analyzed. We divided patients into two groups by the presence of lumbar instability on simple standing plain radiographs and measured degeneration status of intervertebral discs and facet joints and distance of facet fluid signal on T2 axial MRI on each groups...
May 2017: Journal of Orthopaedic Surgery
https://www.readbyqxmd.com/read/28679600/sural-nerve-injury-in-familial-amyloid-polyneuropathy-mr-neurography-vs-clinicopathologic-tools
#14
Jennifer Kollmer, Felix Sahm, Ute Hegenbart, Jan C Purrucker, Christoph Kimmich, Stefan O Schönland, Ernst Hund, Sabine Heiland, John M Hayes, Arnt V Kristen, Christoph Röcken, Mirko Pham, Martin Bendszus, Markus Weiler
OBJECTIVE: To detect and quantify lesions of the small-caliber sural nerve (SN) in symptomatic and asymptomatic transthyretin familial amyloid polyneuropathy (TTR-FAP) by high-resolution magnetic resonance neurography (MRN) in correlation with electrophysiologic and histopathologic findings. METHODS: Twenty-five patients with TTR-FAP, 10 asymptomatic carriers of the mutated transthyretin gene (mutTTR), and 35 age- and sex-matched healthy controls were prospectively included in this cross-sectional case-control study...
July 5, 2017: Neurology
https://www.readbyqxmd.com/read/28678429/global-brain-metabolic-quantification-with-whole-head-proton-mrs-at-3%C3%A2-t
#15
Ivan I Kirov, William E Wu, Brian J Soher, Matthew S Davitz, Jeffrey H Huang, James S Babb, Mariana Lazar, Girish Fatterpekar, Oded Gonen
Total N-acetyl-aspartate + N-acetyl-aspartate-glutamate (NAA), total creatine (Cr) and total choline (Cho) proton MRS ((1) H-MRS) signals are often used as surrogate markers in diffuse neurological pathologies, but spatial coverage of this methodology is limited to 1%-65% of the brain. Here we wish to demonstrate that non-localized, whole-head (WH) (1) H-MRS captures just the brain's contribution to the Cho and Cr signals, ignoring all other compartments. Towards this end, 27 young healthy adults (18 men, 9 women), 29...
July 5, 2017: NMR in Biomedicine
https://www.readbyqxmd.com/read/28675110/metabolic-regional-and-network-changes-in-alzheimer-s-disease-subtypes
#16
Karl Herholz, Cathleen Haense, Alex Gerhard, Matthew Jones, José Anton-Rodriguez, Shailendra Segobin, Julie S Snowden, Jennifer C Thompson, Christopher Kobylecki
Clinical variants of Alzheimer's disease (AD) include the common amnestic subtype as well as subtypes characterised by leading visual processing impairments or by multimodal neurocognitive deficits. We investigated regional metabolic patterns and networks between AD subtypes. The study comprised 9 age-matched controls and 25 patients with mild to moderate AD. Methods included clinical and neuropsychological assessment, high-resolution FDG PET and T1-weighted 3D MR imaging with PET-MR coregistration, grey matter segmentation, atlas-based regions-of-interest, linear mixed effects and regional correlation analysis...
January 1, 2017: Journal of Cerebral Blood Flow and Metabolism
https://www.readbyqxmd.com/read/28668413/comparison-of-3d-bone-models-of-the-knee-joint-derived-from-ct-and-3t-mr-imaging
#17
Aleš Neubert, Katharine J Wilson, Craig Engstrom, Rachel K Surowiec, Anthony Paproki, Nicholas Johnson, Stuart Crozier, Jurgen Fripp, Charles P Ho
PURPOSE: To examine whether magnetic resonance (MR) imaging can offer a viable alternative to computed tomography (CT) based 3D bone modeling. METHODS: CT and MR (SPACE, TrueFISP, VIBE) images were acquired from the left knee joint of a fresh-frozen cadaver. The distal femur, proximal tibia, proximal fibula and patella were manually segmented from the MR and CT examinations. The MR bone models obtained from manual segmentations of all three sequences were compared to CT models using a similarity measure based on absolute mesh differences...
August 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28664034/fully-automatic-acute-ischemic-lesion-segmentation-in-dwi-using-convolutional-neural-networks
#18
Liang Chen, Paul Bentley, Daniel Rueckert
Stroke is an acute cerebral vascular disease, which is likely to cause long-term disabilities and death. Acute ischemic lesions occur in most stroke patients. These lesions are treatable under accurate diagnosis and treatments. Although diffusion-weighted MR imaging (DWI) is sensitive to these lesions, localizing and quantifying them manually is costly and challenging for clinicians. In this paper, we propose a novel framework to automatically segment stroke lesions in DWI. Our framework consists of two convolutional neural networks (CNNs): one is an ensemble of two DeconvNets (Noh et al...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28663263/how-common-is-signal-intensity-increase-in-optic-nerve-segments-on-3d-double-inversion-recovery-sequences-in-visually-asymptomatic-patients-with-multiple-sclerosis
#19
T Sartoretti, E Sartoretti, S Rauch, C Binkert, M Wyss, D Czell, S Sartoretti-Schefer
BACKGROUND AND PURPOSE: In postmortem studies, subclinical optic nerve demyelination is very common in patients with MS but radiologic demonstration is difficult and mainly based on STIR T2WI. Our aim was to evaluate 3D double inversion recovery MR imaging for the detection of subclinical demyelinating lesions within optic nerve segments. MATERIALS AND METHODS: The signal intensities in 4 different optic nerve segments (ie, retrobulbar, canalicular, prechiasmatic, and chiasm) were evaluated on 3D double inversion recovery MR imaging in 95 patients with MS without visual symptoms within the past 3 years and in 50 patients without optic nerve pathology...
June 29, 2017: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/28662717/nonenhanced-mr-angiography-of-the-pulmonary-arteries-using-single-shot-radial-quiescent-interval-slice-selective-qiss-a-technical-feasibility-study
#20
Robert R Edelman, Robert I Silvers, Kiran H Thakrar, Mark D Metzl, Jose Nazari, Shivraman Giri, Ioannis Koktzoglou
BACKGROUND: For evaluation of the pulmonary arteries in patients suspected of pulmonary embolism, CT angiography (CTA) is the first-line imaging test with contrast-enhanced MR angiography (CEMRA) a potential alternative. Disadvantages of CTA include exposure to ionizing radiation and an iodinated contrast agent, while CEMRA is sensitive to respiratory motion and requires a gadolinium-based contrast agent. The primary goal of our technical feasibility study was to evaluate pulmonary arterial conspicuity using breath-hold and free-breathing implementations of a recently-developed nonenhanced approach, single-shot radial quiescent-interval slice-selective (QISS) MRA...
June 30, 2017: Journal of Cardiovascular Magnetic Resonance
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