Human anatomy

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Conferences related to Human anatomy

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2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

Science, technology and applications spanning the millimeter-waves, terahertz and infrared spectral regions


2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.


2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2019 IEEE International Ultrasonics Symposium (IUS)

The conference covers all aspects of the technology associated with ultrasound generation and detection and their applications.


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Periodicals related to Human anatomy

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


Design & Test of Computers, IEEE

IEEE Design & Test of Computers offers original works describing the methods used to design and test electronic product hardware and supportive software. The magazine focuses on current and near-future practice, and includes tutorials, how-to articles, and real-world case studies. Topics include IC/module design, low-power design, electronic design automation, design/test verification, practical technology, and standards. IEEE Design & Test of ...


Display Technology, Journal of

This publication covers the theory, design, fabrication, manufacturing and application of information displays and aspects of display technology that emphasize the progress in device engineering, device design, materials, electronics, physics and reliabilityaspects of displays and the application of displays.


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Most published Xplore authors for Human anatomy

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Xplore Articles related to Human anatomy

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Geometrical and physical models for the recovery of quantitative information from medical image analysis

Object recognition supported by user interaction for service robots, 2002

Summary form only given. The development of methods to accurately and reproducibly recover useful quantitative information from medical images is often hampered by uncertainties in handling these data related to image acquisition parameters, the variability of normal human anatomy and physiology, the presence of disease or other abnormal conditions, and a variety of other factors. Several image analysis strategies are ...


Using Bayesian networks for diagnostic reasoning in penetrating injury assessment

Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000, 2000

Describes a method for diagnostic reasoning under uncertainty that is used in TraumaSCAN, a computer-based system for assessing penetrating trauma. Uncertainty in assessing penetrating injuries arises from two different sources: the actual extent of damage associated with a particular injury mechanism may not be easily discernable, and there may be incomplete information about patient findings (signs, symptoms and test results) ...


PR and PP ECG intervals as indicators of autonomic nervous innervation of the cardiac sinoatrial and atrioventricular nodes

First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings., 2003

Two different methods to elucidate the dependent or independent nature of the autonomic nervous system influence on the sinoatrial and atrioventricular nodes are considered. ECG PP and PR intervals are extracted from 20 normal, young healthy subjects using a wavelet based technique. The first analysis technique focuses upon a supine to stand transition. This transient event serves to highlight the ...


Representation of time-varying shapes in the large deformation diffeomorphic framework

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Tracking and representation of shape change over time is of great interest in the field of computational anatomy. We propose a longitudinal growth model which estimates the diffeomorphic flow of a baseline image passing through a series of time-points that are the observed evolution of the template over time. We optimize the full space-time flow for the sequence of images, ...


Human anatomy visualization and navigation system for image-guided surgery

2009 9th International Conference on Information Technology and Applications in Biomedicine, 2009

Minimally invasive surgery offers advantages that make it the best choice for many diseases. Modern technologies give a great support to this kind of surgical procedures through medical image processing and visualization, 3D organ's reconstruction and intra-operative surgical guidance. In this paper is presented an advanced visualization and navigation system and the surgeon has the possibility to visualize both the ...


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Educational Resources on Human anatomy

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IEEE-USA E-Books

  • Geometrical and physical models for the recovery of quantitative information from medical image analysis

    Summary form only given. The development of methods to accurately and reproducibly recover useful quantitative information from medical images is often hampered by uncertainties in handling these data related to image acquisition parameters, the variability of normal human anatomy and physiology, the presence of disease or other abnormal conditions, and a variety of other factors. Several image analysis strategies are presented that make use of models based on geometrical and physical/biomechanical information to help constrain the range of possible solutions in the presence of such uncertainty. Included are approaches for image segmentation, object motion tracking, shape/volume measurement, and deformation analysis. These ideas are presented in the context of three problem/application areas within the general field of organ/tissue-level medical image analysis: (i) the characterization of cardiac function from noninvasive 4D image data, (ii) the analysis of neuro-anatomical structure from magnetic resonance images, and (iii) the development of an approach that compensates for brain shift in the image data during image-guided neurosurgery. The talk will include a description of the problem areas and visual examples of the image datasets being used, an overview of the mathematical techniques involved and a presentation of results obtained when analyzing patient image data using these methods.

  • Using Bayesian networks for diagnostic reasoning in penetrating injury assessment

    Describes a method for diagnostic reasoning under uncertainty that is used in TraumaSCAN, a computer-based system for assessing penetrating trauma. Uncertainty in assessing penetrating injuries arises from two different sources: the actual extent of damage associated with a particular injury mechanism may not be easily discernable, and there may be incomplete information about patient findings (signs, symptoms and test results) which provide clues about the extent of the injury. Bayesian networks are used in TraumaSCAN for diagnostic reasoning because they provide a mathematically sound means of making probabilistic inferences about the injury in the face of uncertainty. We also present a comparison of TraumaSCAN's results in assessing 26 actual gunshot wound cases with those of TraumAID, a validated rule-based expert system for the diagnosis and treatment of penetrating trauma.

  • PR and PP ECG intervals as indicators of autonomic nervous innervation of the cardiac sinoatrial and atrioventricular nodes

    Two different methods to elucidate the dependent or independent nature of the autonomic nervous system influence on the sinoatrial and atrioventricular nodes are considered. ECG PP and PR intervals are extracted from 20 normal, young healthy subjects using a wavelet based technique. The first analysis technique focuses upon a supine to stand transition. This transient event serves to highlight the uncoupled nature of PP and PR interval duration for about five beats, suggesting an independent ANS drive to each node. Secondly, sections of quiet supine and standing data are analyzed. Parametric spectral analysis shows variable LF and HF component behavior across different subjects. The relative distribution of recovery RP intervals versus PR for supine and standing are clearly separate for 10 different subjects and borderline for 5. Large intersubject variation is evident.

  • Representation of time-varying shapes in the large deformation diffeomorphic framework

    Tracking and representation of shape change over time is of great interest in the field of computational anatomy. We propose a longitudinal growth model which estimates the diffeomorphic flow of a baseline image passing through a series of time-points that are the observed evolution of the template over time. We optimize the full space-time flow for the sequence of images, providing a linear space representation of the shape-change via a time- dependent velocity vector field, thus application of linear techniques becomes straightforward. We test our longitudinal growth model on both synthetic and real data-sets and demonstrate flexibility in time- point spacing, generation of average growth, and robust interpolation of missing time-points.

  • Human anatomy visualization and navigation system for image-guided surgery

    Minimally invasive surgery offers advantages that make it the best choice for many diseases. Modern technologies give a great support to this kind of surgical procedures through medical image processing and visualization, 3D organ's reconstruction and intra-operative surgical guidance. In this paper is presented an advanced visualization and navigation system and the surgeon has the possibility to visualize both the traditional patient information, as the CT image set, and a 3D model of the patient's anatomy built from this. Two different visualization modalities are available in real time and dynamically. According to the surgeon needs, it is possible to obtain the automatic reslicing of the orthogonal planes in order to have an accurate visualization of the 3D model and slices exactly next to the actual position of the surgical instrument tip. In addition, it is possible to activate the clipping modality that allows cutting the 3D model in correspondence of a chosen visualization plane. The system can be used as support for the diagnosis, for the surgical preoperative planning and also for an image-guided surgery.

  • Evaluation of polynomial image deformation for matching of 3D-abdominal MR-images using anatomical landmarks and for atlas construction

    The aim of this study is to compare and evaluate the potential usability of linear and non-linear (polynomial) 3D-warping for constructing an atlas by matching abdominal MR-images from a number of different individuals using manually picked anatomical landmarks. The significance of this study lies in the fact that it illustrates the potential to use polynomial matching at a local or organ level. This is a necessary requirement for constructing an atlas and for fine intra-patient image matching and fusion. Finally 3D-image warping using anatomical landmark for inter-patient intra-modality image co- registration and fusion was found to be a very powerful and robust method. Additionally it can be used for intra-patient inter-modality image matching.

  • Adapting a generic match algorithm to align ontologies of human anatomy

    The difficulty inherent in schema matching has led to the development of several generic match algorithms. We describe how we adapted general approaches to the specific task of aligning two ontologies of human anatomy, the Foundational Model of Anatomy and the GALEN Common Reference Model. Our approach consists of three phases: lexical, structural and hierarchical, which leverage different aspects of the ontologies as they are represented in a generic meta-model. Lexical matching identifies concepts with similar names. Structural matching identifies concepts whose neighbors are similar. Finally, hierarchical matching identifies concepts with similar descendants. We conclude by reporting on the lessons we learned.

  • P2C-3 An Injury Mimicking Ultrasound Phantom as a Training Tool for Diagnosis of Internal Trauma

    Injury mimicking ultrasound phantoms are training devices that can emulate pre- and post-injury conditions at specific regions of human anatomy. As such, they are likely to be useful tools for teaching medical personnel how to recognize trauma conditions from ultrasound images. Due to the increased use of portable ultrasound systems, earlier diagnosis of internal trauma will be feasible at locations such as traffic accidents, earthquakes, battlefields and terrorist attacks. This paper describes a prototype injury mimicking ultrasound phantom for the peritoneal cavity. This phantom is designed by placing agar 'organs' into a half cylinder cavity covered with a distensible latex membrane, that is sufficiently thin to allow ultrasonic wave propagation with little attenuation. Bleeding is emulated by injecting a known fluid volume into the inter-organ space. We have analyzed the distribution of inter- organ fluid volumes at 'pre-injury', 'post-injury' and after a return to 'pre- injury' conditions. In the pre-injury state, the tissue mimicking material represents a 91% volume fraction, with the remaining volume fraction filled with distilled water. We captured a 3D image in the form of a series of equidistant 2D ultrasound images along a scan path at the vertex of the phantom. To reach the post-injury state, we injected fixed fluid volumes up to a total of 600 mL into the phantom. We captured images along the same scan path as with the pre-injury status. To return to the pre-injury state, we extracted the injected fluid volume and captured another set of images along the same scan path. From the 3D image of the phantom, we were able to obtain volume estimations for two regions of inter-organ volume spaces. We found that the volumes for pre-injury and post-injury are significantly different, changing from an average of 5.4 cm<sup>3</sup> to 12.2 cm<sup>3</sup>. Changing the density from 1.0 to 1.08 g/cm<sup>3</sup> the injected fluid revealed no shift in fluid accumulation locations. We numerically modeled an ultrasound phantom to simulate the locations where that the injected fluid volume would accumulate for various and organ parameters. In the physical and the numerically modeled phantom, we have found that the fluid tends to distribute uniformly throughout the numerical phantom without a dependence on the density of the injected fluid

  • A model to measure the characterizing parameters of the deep fascia

    The aim of this work is to create a computerized tridimensional model of the deep fascia, as useful and flexible tool suitable for any histological section's analysis. It allows determinations, also quantitative, of the elements that formed the evaluated tissue, their spatial dispositions and relationships. Every manipulation and elaboration do not necessarily ask an irreversible alteration of the original tissue, as happen with the biological specimens. The present study considers a crural fascia specimen, taken from the posterior region of the knee.

  • Correlating motion of internal organs with the displacements of fiducial markers during respiration

    The purpose of the presented work is to establish quantitative correlations between displacements of markers on the human torso with displacement of internal anatomical points. Two sets of 5-15 points are selected. The external set {Rext} consists of points on the human chest and abdomen defined with respect to external anatomic features such as nipples, navel, floating ribs, abdominal muscles or bone joints. These points are used as pre-defined locations for attaching fiducial markers. The internal set {Rint} consists of points uniquely identifiable using MR images: coordinates of heart apex and heart center, diaphragm lobes, organ boundaries and other distinct features of internal anatomy. Short breathhold MR scans of the torso are acquired for various respiratory stages: full exhalation, full inhalation and several intermediate positions. For each stage, both {Rint} and {Rext} are determined from the MR images - the internal set from examining the anatomy and the external one from vitamin-E markers attached to the skin. Displacements of each of the points in the two sets with respect to the reference frame are computed in three dimensions. Correlations in the displacements are established from a series of patient studies. The information is used for two primary applications: motion correction in tomographic reconstruction and mechanical modeling of human anatomy. The motion correction application uses the established mapping for reconstruction of projections acquired during motion on a moving grid. Grid motion is deduced from optical tracing of fiducial markers placed at {Rext}. In constructing mechanical models of the human anatomy, the mapping between {Rint} and {Rext} can be used either both as an independent experimental test or explicitly as an extra set of spatiotemporal constraints.



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