Riemannian Metric Optimization on Surfaces (RMOS) for Intrinsic Brain Mapping in the Laplace-Beltrami Embedding Space
Surface mapping methods play an important role in various scientific discoveries from tracking the maturation of adolescent brains (Gogtay et al., 2004), mapping gray matter atrophy patterns in Alzheimer’s disease (AD) (Thompson et al., 2004), to studying early prenatal and postnatal brain development (Li et al., 2013; Nie et al., 2010). The backbone of surface mapping methods is the computational technique that establishes detaile d one-to-one correspondences across different brain surfaces. In this work, we propose a novel computational framework for establishing surface correspondences in the Laplace-Beltrami emb...
Source: Medical Image Analysis - March 16, 2018 Category: Radiology Authors: Jin Kyu Gahm, Yonggang Shi, Alzheimer ’s Disease Neuroimaging Initiative Source Type: research
Vortical Features for Myocardial Rotation Assessment in Hypertrophic Cardiomyopathy using Cardiac Tagged Magnetic Resonance
Hypertrophic cardiomyopathy (HCM) (Maron et al., 2014) is a relatively common heart muscle disease with a heterogeneous phenotypic expression that occasionally overlaps with other pathologies that also present left ventricular hypertrophy. Differentiating the underlying etiology of the ventricular hypertrophy is a frequent clinical problem with relevant implications since each etiology needs a specific management and presents a different prognosis. HCM is characterized by a hypertrophied and nondilated left ventricle (LV) (Baron, 2008), often with an asymmetrical wall thickness distribution. (Source: Medical Image Analysis)
Source: Medical Image Analysis - March 15, 2018 Category: Radiology Authors: Santiago Sanz-Est ébanez, Lucilio Cordero-Grande, Teresa Sevilla, Ana Revilla-Orodea, Rodrigo de Luis-García, Marcos Martín-Fernández, Carlos Alberola-López Source Type: research
A deep learning approach for pose estimation from volumetric OCT data
Tracking the pose of instruments and patients is a typical problem in many clinical scenarios, e.g., minimally invasive surgery (MIS) (Bouget et al., 2017) or transcranial magnetic stimulation (Richter et al., 2013). Common commercially available optical and electromagnetic (EM) tracking systems reach an accuracy of 0.2 mm to 1 mm (Kral et al., 2013). For optical tracking, a mean tracking error of 0.22 mm has been achieved for c linical setups (Elfring et al., 2010). EM tracking operates without a line of sight but generally reaches lower accuracy with a typical root mean square error (RMSE) of 1 mm (Franz et...
Source: Medical Image Analysis - March 10, 2018 Category: Radiology Authors: Nils Gessert, Matthias Schl üter, Alexander Schlaefer Source Type: research
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
Tracking the pose of instruments and patients is a typical problem in many clinical scenarios, e.g., minimally invasive surgery (MIS) (Bouget et al., 2017) or transcranial magnetic stimulation (Richter et al., 2013). Common commercially available optical and electromagnetic (EM) tracking systems reach an accuracy of 0.2 mm to 1 mm (Kral et al., 2013). For optical tracking, a mean tracking error of 0.22 mm has been achieved for clinical s etups (Elfring et al., 2010). EM tracking operates without a line of sight but generally reaches lower accuracy with a typical root mean square error (RMSE) of 1 mm (Franz et al., 20...
Source: Medical Image Analysis - March 10, 2018 Category: Radiology Authors: Nils Gessert, Matthias Schl üter, Alexander Schlaefer Source Type: research
Rapid fully automatic segmentation of subcortical brain structures by shape-constrained surface adaptation
Accurate and robust segmentation of subcortical brain structures from structural Magnetic Resonance Imaging (MRI) has gained attention in recent years, since it supports the diagnosis and follow-up assessment of many neuro-degenerative diseases, such as Alzheimer ’s disease (AD), multiple sclerosis (MS) or Parkinson’s Disease (PD), mild traumatic brain injury (mTBI), as well as other Neurological an Psychological disorders, including depression and epilepsy (González-Villá et al., 2016). (Source: Medical Image Analysis)
Source: Medical Image Analysis - March 9, 2018 Category: Radiology Authors: Fabian Wenzel, Carsten Meyer, Thomas Stehle, Jochen Peters, Susanne Siemonsen, Christian Thaler, Lyubomir Zagorchev, for the Alzheimer ’s Disease Neuroimaging Initiative Source Type: research
Rapid fully automatic segmentation of subcortical brain structures by shape-constrained surface adaptation
Accurate and robust segmentation of subcortical brain structures from structural Magnetic Resonance Imaging (MRI) has gained attention in recent years, since it supports the diagnosis and follow-up assessment of many neuro-degenerative diseases, such as Alzheimer ’s disease (AD), multiple sclerosis (MS) or Parkinson’s Disease (PD), mild traumatic brain injury (mTBI), as well as other Neurological an Psychological disorders, including depression and epilepsy [22]. (Source: Medical Image Analysis)
Source: Medical Image Analysis - March 9, 2018 Category: Radiology Authors: Fabian Wenzel, Carsten Meyer, Thomas Stehle, Jochen Peters, Susanne Siemonsen, Christian Thaler, Lyubomir Zagorchev, for the Alzheimer ’s Disease Neuroimaging Initiative Source Type: research
Neighborhood resolved fiber orientation distributions (NRFOD) in automatic labeling of white matter fiber pathways
For the past two decades, the technique of Diffusion MRI has been providing ways to reconstruct patient-specific white matter fiber pathways (Basser et al., 1994; LeBihan et al., 2001; Lazar et al., 2003). Diffusion MRI probes neural circuitry of the in-vivo brain by an indirect measurement of random diffusion-driven displacements of water molecules. The link between water diffusion and axonal orientation and integrity makes probing of the WM t issue structure possible (Wieshmann et al., 1999; Coremans et al., 1994). (Source: Medical Image Analysis)
Source: Medical Image Analysis - February 27, 2018 Category: Radiology Authors: Devran Ugurlu, Zeynep Firat, U ğur Türe, Gozde Unal Source Type: research
Neighborhood Resolved Fiber Orientation Distributions (NRFOD) in Automatic Labeling of White Matter Fiber Pathways
For the past two decades, the technique of Diffusion MRI has been providing ways to reconstruct patient-specific white matter fiber pathways (Basser et al., 1994; LeBihan et al., 2001; Lazar et al., 2003). Diffusion MRI probes neural circuitry of the in-vivo brain by an indirect measurement of random diffusion-driven displacements of water molecules. The link between water diffusion and axonal orientation and integrity makes probing of the WM t issue structure possible (Wieshmann et al., 1999; Coremans et al., 1994). (Source: Medical Image Analysis)
Source: Medical Image Analysis - February 27, 2018 Category: Radiology Authors: Devran Ugurlu, Zeynep Firat, Ugur Ture, Gozde Unal Source Type: research
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images
Perivascular spaces (PVSs) or Virchow-Robin spaces are the cerebrospinal fluid (CSF)-filled cavities around the penetrating small blood vessels in the brain (Zhang et al., 1990). As a part of the brain’s lymphatic system, the PVSs play a significant role in clearing interstitial wastes from the brain (Iliff et al., 2013; Kress et al., 2014), as well as in regulating immunological responses (Wuerfel et al., 2008). Increasing number of studies demonstra tes that the dilation of PVSs indicates neuronal dysfunctions, and strongly correlates with the incidence of multiple neurological diseases, including Alzheimer’s ...
Source: Medical Image Analysis - February 26, 2018 Category: Radiology Authors: Chunfeng Lian, Jun Zhang, Mingxia Liu, Xiaopeng Zong, Sheng-Che Hung, Weili Lin, Dinggang Shen Source Type: research
Multi-Channel Multi-Scale Fully Convolutional Network for 3D Perivascular Spaces Segmentation in 7T MR Images
Perivascular spaces (PVSs) or Virchow-Robin spaces are the cerebrospinal fluid (CSF)-filled cavities around the penetrating small blood vessels in the brain (Zhang et al., 1990). As a part of the brain’s lymphatic system, the PVSs play a significant role in clearing interstitial wastes from the brain (Iliff et al., 2013; Kress et al., 2014), as well as in regulating immunological responses (Wuerfel et al., 2008). Increasing number of studies demonstrates t hat the dilation of PVSs indicates neuronal dysfunctions, and strongly correlates with the incidence of multiple neurological diseases, including Alzheimer’s di...
Source: Medical Image Analysis - February 26, 2018 Category: Radiology Authors: Chunfeng Lian, Jun Zhang, Mingxia Liu, Xiaopeng Zong, Sheng-Che Hung, Weili Lin, Dinggang Shen Source Type: research
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Source: Medical Image Analysis - February 25, 2018 Category: Radiology Source Type: research
Cerebrovascular network registration via an efficient attributed graph matching technique
Tubular networks are one of the fundamental structures in biological and medical studies. They are found for example in skeletal structures, nerve fibers, and systems for propagating gases such as intrathoracic airway trees and vascular networks. Among these networks, cerebrovascular networks in particular are the target of major neurobiological and neuroscientific studies (Amin-Hanjani et al., 2015; Agostoni and Longoni, 2015). To assess the state of a disease during diagnosis, monitoring, and treatment processes, it is crucial to match these networks in different images (Metzen et al., 2009). (Source: Medical Image Analysis)
Source: Medical Image Analysis - February 24, 2018 Category: Radiology Authors: Sepideh Almasi, Alexandra Lauric, Adel Malek, Eric L. Miller Source Type: research
Cerebrovascular Network Registration via An Efficient Attributed Graph Matching Technique
Tubular networks are one of the fundamental structures in biological and medical studies. They are found for example in skeletal structures, nerve fibers, and systems for propagating gases such as intrathoracic airway trees and vascular networks. Among these networks, cerebrovascular networks in particular are the target of major neurobiological and neuroscientific studies (Amin-Hanjani et al., 2015; Agostoni and Longoni, 2015). To assess the state of a disease during diagnosis, monitoring, and treatment processes, it is crucial to match these networks in different images (Metzen et al., 2009). (Source: Medical Image Analysis)
Source: Medical Image Analysis - February 24, 2018 Category: Radiology Authors: Sepideh Almasi, Alexandra Lauric, Adel Malek, Eric L. Miller Source Type: research
A Survey of Methods for 3D Histology Reconstruction
Histology is concerned with the various methods of microscopic examination of a thin tissue section (or slice) (Culling, 2013), most commonly sampled from a specimen post mortem or from a biopsy. Cutting through a specimen reveals its internal topography and staining the sections permits the observation of complex differentiated structures. Then, the digitisation of histological sections (referred to as digital pathology) makes high-resolution microscope sections available for image computing and machine learning algorithms. (Source: Medical Image Analysis)
Source: Medical Image Analysis - February 21, 2018 Category: Radiology Authors: Jonas Pichat, Juan Eugenio Iglesias, Tarek Yousry, S ébastien Ourselin, Marc Modat Source Type: research
