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IEEE Transactions on Medical Imaging

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https://www.readbyqxmd.com/read/30028696/visualization-of-the-intensity-field-of-a-focused-ultrasound-fus-source-in-situ
#1
Trong N Nguyen, Minh N Do, Michael L Oelze
In an increasing number of applications of focused ultrasound (FUS) therapy, such as opening of the blood brain barrier or collapsing microbubbles in a tumor, elevation of tissue temperature is not involved. In these cases, real-time visualization of the field distribution of the FUS source would allow localization of the FUS beam within the targeted tissue and allow repositioning of the FUS beam during tissue motion. In this work, in order to visualize the FUS beam in situ, a 6- MHz single-element transducer (f/2) was used as the FUS source and aligned perpendicular to a linear array which passively received scattered ultrasound from the sample...
July 19, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/30028695/spatially-adaptive-varying-correlation-analysis-for-multimodal-neuroimaging-data
#2
Lexin Li, Jian Kang, Samuel N Lockhart, Jenna Adams, William J Jagust
In this article, we study a central problem in multimodal neuroimaging analysis, i.e., identification of significantly correlated brain regions between multiple imaging modalities.We propose a spatially varying correlation model and the associated inference procedure, which improves substantially over the common alternative solutions of voxel-wise and region-wise analysis. Compared to voxel-wise analysis, our method aggregates voxels with similar correlations into regions, takes into account spatial continuity of correlations at nearby voxels, and enjoys a much higher detection power...
July 18, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/30028694/optimization-of-the-trade-off-between-speckle-reduction-and-axial-resolution-in-frequency-compounding
#3
Yilei Li, Yonatan Winetraub, Orly Liba, Adam de la Zerda, Steven Chu
We measured the reduction of speckle by frequency compounding using Gaussian pulses, which have the least timebandwidth product. The experimental results obtained from a tissue mimicking phantom agree quantitatively with numerical simulations of randomly distributed point scatterers. For a fixed axial resolution, the amount of speckle reduction is found to approach a maximum as the number of bands increases while the total spectral range that they cover is kept constant. An analytical solution of the maximal speckle reduction is derived and shows that the maximal speckle reduction improves approximately as the square root of the inverse of the Gaussian pulse bandwidth...
July 17, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/30010554/can-atlas-based-auto-segmentation-ever-be-perfect-insights-from-extreme-value-theory
#4
Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Timor Kadir, Andre Dekker, Wouter van Elmpt, Mark Gooding
Atlas-based segmentation is used in radiotherapy planning to accelerate the delineation of organs at risk (OARs). Atlas selection has been proposed to improve the performance of segmentation, assuming that the more similar the atlas is to the patient the better the result. It follows that the larger the database of atlases from which to select, the better the results should be. This work seeks to estimate a clinically achievable expected performance under this assumption. Assuming a perfect atlas selection, Extreme Value Theory has been applied to estimate accuracy of single-atlas and multi-atlas segmentation given a large database of atlases...
July 16, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/30010553/magnetoencephalography-with-optically-pumped-4he-magnetometers-at-ambient-temperature
#5
Etienne Labyt, Marie-Constance Corsi, William Fourcault, Augustin Palacios Laloy, Francois Bertrand, Francois Lenouvel, Gilles Cauffet, Matthieu Le Prado, Francois Berger, Sophie Morales
In this paper, we present the first proof of concept confirming the possibility to record magnetoencephalographic (MEG) signals with Optically Pumped Magnetometers (OPMs) based on the parametric resonance of 4He atoms. The main advantage of this kind of OPM is the possibility to provide a tri-axis vector measurement of the magnetic field at room-temperature (the 4He vapor is neither cooled nor heated). The sensor achieves a sensitivity of 210 fT/√Hz in the bandwidth [2 Hz - 300 Hz]. MEG simulation studies with a brain phantom were cross-validated with real MEG measurements on a healthy subject...
July 16, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/30010552/live-tracking-and-dense-reconstruction-for-hand-held-monocular-endoscopy
#6
Nader Mahmoud, Toby Collins, Alexandre Hostettler, Luc Soler, Christophe Doignon, J M M Montiel
Contemporary endoscopic Simultaneous Localization And Mapping (SLAM) methods accurately compute endoscope poses, however, they only provide a sparse 3D reconstruction that poorly describes the surgical scene. We propose a novel dense SLAM method whose qualities are: 1) Monocular, requiring only RGB images of a hand-held monocular endoscope. 2) Fast, providing endoscope positional tracking and 3D scene reconstruction, running in parallel threads. 3) Dense, yielding an accurate dense reconstruction. 4) Robust, to the severe illumination changes, poor texture and small deformations that are typical in endoscopy...
July 13, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/30010551/pat-probabilistic-axon-tracking-for-densely-labeled-neurons-in-large-3d-micrographs
#7
Henrik Skibbe, Marco Reisert, Ken Nakae, Akiya Watakabe, Junichi Hata, Hiroaki Mizukami, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii
A major goal of contemporary neuroscience research is to map the structural connectivity of mammalian brain using microscopy imaging data. In this context, the reconstruction of densely labeled axons from two-photon microscopy images is a challenging and important task. The visually overlapping, crossing, and often strongly distorted images of the axons allow many ambiguous interpretations to be made. We address the problem of tracking axons in densely labeled samples of neurons in large image datasets acquired from marmoset brains...
July 13, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/30010550/towards-intra-operative-prostate-photoacoustic-imaging-configuration-evaluation-and-implementation-using-the-da-vinci-research-kit
#8
Hamid Moradi, Shuo Tang, Septimiu E Salcudean
We compare different possible scanning geometries for prostate photoacoustic tomography (PAT) while considering a realistic reconstruction scenario in which the limited-view of the prostate and the directivity effect of the transducer are taken into account. Simulations and experiments confirm that an intra-operative configuration in which the photoacoustic signal is received by a pick-up transducer from the anterior surface of the prostate provides the best approach. We propose a PAT acquisition system that includes a da Vinci system controlled by the da Vinci Research Kit, an illumination laser and an ultrasound machine with parallel data acquisition...
July 12, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/30010549/generalized-mean-apparent-propagator-gmap-mri-to-measure-and-image-advective-and-dispersive-flows-in-medicine-and-biology
#9
Dan Benjamini, Michal E Komlosh, Nathan H Williamson, Peter J Basser
Water transport in biological systems spans different regimes with distinct physical behaviors: diffusion, advection, and dispersion. Identifying these regimes is of paramount importance in many in vivo applications, among them, measuring microcirculation of blood in capillary networks and cerebrospinal fluid (CSF) transport in the glymphatic system. Diffusion magnetic resonance imaging (dMRI) can be used to encode water displacements, and a Fourier transform of the acquired signal furnishes a displacement probability density function, known as the propagator...
July 12, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994612/efficient-enhancement-of-stereo-endoscopic-images-based-on-joint-wavelet-decomposition-and-binocular-combination
#10
Bilel Sdiri, Mounir Kaaniche, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jakob Elle
The success of minimally invasive interventions and the remarkable technological and medical progress have made endoscopic image enhancement a very active research field. Due to the intrinsic endoscopic domain characteristics and the surgical exercise, stereo endoscopic images may suffer from different degradations which affect its quality. Therefore, in order to provide the surgeons with a better visual feedback and improve the outcomes of possible subsequent processing steps, namely a 3D organ reconstruction/registration, it would be interesting to improve the stereo endoscopic image quality...
July 9, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994394/mosaic-based-color-transform-optimization-for-lossy-and-lossy-to-lossless-compression-of-pathology-whole-slide-images
#11
Miguel Hernandez-Cabronero, Victor Sanchez, Ian Blanes, Francesc Auli-Llinas, Michael W Marcellin, Joan Serra-Sagrista
The use of whole-slide images (WSIs) in pathology entails stringent storage and transmission requirements because of their huge dimensions. Therefore, image compression is an essential tool to enable efficient access to these data. In particular, color transforms are needed to exploit the very high degree of inter-component correlation and obtain competitive compression performance. Even though state-of-the-art color transforms remove some redundancy, they disregard important details of the compression algorithm applied after the transform...
July 3, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994701/passive-acoustic-mapping-using-data-adaptive-beamforming-based-on-higher-order-statistics
#12
Erasmia Lyka, Christian M Coviello, Catherine Paverd, Michael D Gray, Constantin-C Coussios
Sources of nonlinear acoustic emissions, particularly those associated with cavitation activity, play a key role in the safety and efficacy of current and emerging therapeutic ultrasound applications, such as oncological drug delivery, blood-brain barrier opening and histotripsy. Passive Acoustic Mapping (PAM) is the first technique to enable real-time and non-invasive imaging of cavitation activity during therapeutic ultrasound exposure, through the recording and passive beamforming of broadband acoustic emissions using an array of ultrasound detectors...
July 2, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994702/sparse-range-constrained-learning-and-its-application-for-medical-image-grading
#13
Jun Cheng
Sparse learning has been shown to be effective in solving many real-world problems. Finding sparse representations is a fundamentally important topic in many fields of science including signal processing, computer vision, genome study and medical imaging. One important issue in applying sparse representation is to find the basis to represent the data, especially in computer vision and medical imaging where the data is not necessary incoherent. In medical imaging, clinicians often grade the severity or measure the risk score of a disease based on images...
June 29, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994393/automatic-multiorgan-segmentation-via-multiscale-registration-and-graph-cut
#14
Razmig Kechichian, Sebastien Valette, Michel Desvignes
We propose an automatic multiorgan segmentation method for 3D radiological images of different anatomical content and modality. The approach is based on a simultaneous multilabel Graph Cut optimization of location, appearance and spatial configuration criteria of target structures. Organ location is defined by target-specific probabilistic atlases (PA) constructed from a training dataset using a fast (2+1)D SURF-based multiscale registration method involving a simple 4-parameter transformation. PAs are also used to derive target-specific organ appearance models represented as intensity histograms...
June 29, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994670/keypoint-transfer-for-fast-whole-body-segmentation
#15
Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland
We introduce an approach for image segmentation based on sparse correspondences between keypoints in testing and training images. Keypoints represent automatically identified distinctive image locations, where each keypoint correspondence suggests a transformation between images. We use these correspondences to transfer label maps of entire organs from the training images to the test image. The keypoint transfer algorithm includes three steps: (i) keypoint matching, (ii) voting-based keypoint labeling, and (iii) keypoint-based probabilistic transfer of organ segmentations...
June 27, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994669/deep-learning-global-glomerulosclerosis-in-transplant-kidney-frozen-sections
#16
Jon N Marsh, Matthew K Matlock, Satoru Kudose, Ta-Chiang Liu, Thaddeus S Stappenbeck, Joseph P Gaut, S Joshua Swamidass
Transplantable kidneys are in very limited supply. Accurate viability assessment prior to transplantation could minimize organ discard. Rapid and accurate evaluation of intraoperative donor kidney biopsies is essential for determining which kidneys are eligible for transplantation. The criteria for accepting or rejecting donor kidneys relies heavily on pathologist determination of the percent of glomeruli (determined from a frozen section) that are normal and sclerotic. This percentage is a critical measurement that correlates with transplant outcome...
June 27, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994472/a-model-based-approach-to-investigate-the-effect-of-a-long-bone-fracture-on-ultrasound-strain-elastography
#17
Songyuan Tang, Eric P Sabonghy, Anuj Chaudhry, Peer Shafeeq Shajudeen, Md Tauhidul Islam, Namhee Kim, Fernando J Cabrera, J N Reddy, Ennio Tasciotti, Raffaella Righetti
The mechanical behavior of long bones and fractures has been under investigation for many decades due to its complexity and clinical relevance. In this paper, we report a new subject-specific methodology to predict and analyze the mechanical behavior of the soft tissue at a bone interface with the intent of identifying the presence and location of bone abnormalities with high accuracy, spatial resolution and contrast. The proposed methodology was tested on both intact and fractured rabbit femur samples with finite element-based 3-D simulations, created from actual femur computed tomography (CT) data, and ultrasound elastography experiments...
June 25, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994471/deep-recurrent-neural-networks-for-prostate-cancer-detection-analysis-of-temporal-enhanced-ultrasound
#18
Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter Choyke, Peter Pinto, Bradford Wood, Parvin Mousavi, Purang Abolmaesumi
Temporal Enhanced Ultrasound (TeUS), comprising the analysis of variations in backscattered signals from a tissue over a sequence of ultrasound frames, has been previously proposed as a new paradigm for tissue characterization. In this manuscript, we propose to use deep Recurrent Neural Networks (RNN) to explicitly model the temporal information in TeUS. By investigating several RNN models, we demonstrate that Long Short-Term Memory (LSTM) networks achieve the highest accuracy in separating cancer from benign tissue in the prostate...
June 25, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994470/correction-to-direct-patlak-reconstruction-from-dynamic-pet-data-using-the-kernel-method-with-mri-information-based-on-structural-similarity
#19
Kuang Gong, Jinxiu Cheng-Liao, Guobao Wang, Kevin T Chen, Ciprian Catana, Jinyi Qi
No abstract text is available yet for this article.
June 22, 2018: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29994114/assessment-of-ct-image-quality-using-a-bayesian-framework
#20
Alexander Khanin, Mathias Anton, Marcel Reginatto, Clemens Elster
In computed tomography, there is a trade-off between the quality of the reconstructed image and the radiation dose received by the patient. In order to find an appropriate compromise between the image quality of the reconstructed images and the radiation dose, it is important to have reliable methods for evaluating the quality of the reconstructed images. A successful family of methods for the assessment of image quality is task-based image quality assessment, which often involves the use of model observers, and which assesses the quality of the image reconstruction by deriving a figure of merit...
June 19, 2018: IEEE Transactions on Medical Imaging
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