Multi-resolution volumetric reconstruction using labeled regions

2004 ◽  
Author(s):  
F. Brisc
Keyword(s):  
Volumetric Reconstruction

X-Ray Nanotomography (XRMT) Tool for Non-Destructive High-Resolution Imaging of ICs

2001 ◽  
Author(s):  
Wenbing Yun ◽  
Steve Wang ◽  
David Scott ◽  
Kenneth W. Nill ◽  
Waleed S. Haddad
Keyword(s):  
High Resolution ◽  
Process Development ◽  
3D Visualization ◽  
Tomographic Reconstruction ◽  
Reconstruction Algorithms ◽  
X Ray ◽  
Visualization Software ◽  
Volumetric Reconstruction ◽  
Resolution Imaging ◽  
Non Destructive

Abstract A high-resolution table-sized x-ray nanotomography (XRMT) tool has been constructed that shows the promise of nondestructively imaging the internal structure of a full IC stack with a spatial resolution better than 100 nm. Such a tool can be used to detect, localize, and characterize buried defects in the IC. By collecting a set of X-ray projections through the full IC (which may include tens of micrometers of silicon substrate and several layers of Cu interconnects) and applying tomographic reconstruction algorithms to these projections, a 3D volumetric reconstruction can be obtained, and analyzed for defects using 3D visualization software. XRMT is a powerful technique that will find use in failure analysis and IC process development, and may facilitate or supplant investigations using SEM, TEM, and FIB tools, which generally require destructive sample preparation and a vacuum environment.

Three-dimensional temporal bone reconstruction from histological sections

2014 ◽  
Vol 128 (5) ◽  
pp. 416-420 ◽  
Author(s):  
N Ahmad ◽  
A Wright
Keyword(s):  
High Resolution ◽  
Temporal Bone ◽  
Personal Computer ◽  
Three Dimensional ◽  
Jugular Bulb ◽  
Chorda Tympani Nerve ◽  
Three Dimensional Model ◽  
Histological Sections ◽  
Volumetric Reconstruction ◽  
Stapes Footplate

AbstractObjective:To produce a high-resolution, three-dimensional temporal bone model from serial sections, using a personal computer.Method:Digital images were acquired from histological sections of the temporal bone. Image registration, segmentation and three-dimensional volumetric reconstruction were performed using a personal computer. The model was assessed for anatomical accuracy and interactivity by otologists.Results:An accurate, high-resolution, three-dimensional model of the temporal bone was produced, containing structures relevant to otological surgery. The facial nerve, labyrinth, internal carotid artery, jugular bulb and all of the ossicles were seen (including the stapes footplate), together with the internal and external auditory meati. Some projections also showed the chorda tympani nerve.Conclusion:A high-resolution, three-dimensional computer model of the complete temporal bone was produced using a personal computer. Because of the increasing difficulty in procuring cadaveric bones, this model could be a useful adjunct for training.

Volumetric Reconstructions of Found Footage: Stressing the Non-Identity of 3-D Replicas

Leonardo ◽  
2020 ◽  
pp. 1-9
Author(s):  
Gabriel Menotti
Keyword(s):  
Heritage Conservation ◽  
Visual Data ◽  
Found Footage ◽  
Volumetric Reconstruction

This article examines the history and operational underpinnings of forms of volumetric reconstruction based on the capture of visual data, particularly photogrammetry. Photogrammetry is one of the chief techniques currently employed in the production of virtual replicas for heritage conservation and audiovisual production. The computational realism resulting from this process induces the belief that it is possible to recover the totality of an object from its medial traces. The author analyses how his work, as well as those of other artists, challenge this technological promise by exploring the formal idiosyncrasies of photogrammetric models.

Open Source Applications for Image Visualization and Processing in Neuroimaging Training

2015 ◽  
pp. 1319-1332
Author(s):  
Juan A. Juanes ◽  
Pablo Ruisoto ◽  
Alberto Prats-Galino ◽  
Andrés Framiñán
Keyword(s):  
Magnetic Resonance ◽  
Medical Imaging ◽  
Open Source ◽  
Medical Images ◽  
Three Dimensional ◽  
Mr Images ◽  
Image Visualization ◽  
3D Slicer ◽  
Volumetric Reconstruction ◽  
Key Features

The aim of this paper is to demonstrate the major role and potential of three of the most powerful open source computerized tools for the advanced processing of medical images, in the study of neuroanatomy. DICOM images were acquired with radiodiagnostic equipment using 1.5 Tesla Magnetic Resonance (MR) images. Images were further processed using the following applications: first, OsiriXTM version 4.0 32 bits for OS; Second, 3D Slicer version 4.3; and finally, MRIcron, version 6. Advanced neuroimaging processing requires two key features: segmentation and three-dimensional or volumetric reconstruction. Examples of identification and reconstruction of some of the most complex neuroimaging elements such vascular ones and tractographies are included in this paper. The three selected applications represent some of the most versatile technologies within the field of medical imaging.

Multiple Image Based Human Joint Angle Computation

2017 ◽  
Vol 865 ◽  
pp. 547-553 ◽  
Author(s):  
Ji Hun Park
Keyword(s):  
Nonlinear Programming ◽  
Joint Angle ◽  
Video Stream ◽  
Input Image ◽  
Reference Image ◽  
Computation Method ◽  
Feature Points ◽  
Center Of Rotation ◽  
Volumetric Reconstruction ◽  
Human Joint

This paper presents a new computation method for human joint angle. A human structure is modelled as an articulated rigid body kinematics in single video stream. Every input image consists of a rotating articulated segment with a different 3D angle. Angle computation for a human joint is achieved by several steps. First we compute internal as well as external parameters of a camera using feature points of fixed environment using nonlinear programming. We set an image as a reference image frame for 3D scene analysis for a rotating articulated segment. Then we compute angles of rotation and a center of rotation of the segment for each input frames using corresponding feature points as well as computed camera parameters using nonlinear programming. With computed angles of rotation and a center of rotation, we can perform volumetric reconstruction of an articulated human body in 3D. Basic idea for volumetric reconstruction is regarding separate 3D reconstruction for each articulated body segment. Volume reconstruction in 3D for a rotating segment is done by modifying transformation relation of world-to-camera to adjust an angle of rotation of a rotated segment as if there were no rotation for the segment. Our experimental results for a single rotating segment show our method works well.

Discrete Tomography of Ga and InGa Particles from HREM Image Simulation and Exit Wave Reconstruction

2004 ◽  
Vol 839 ◽  
Author(s):  
J. R. Jinschek ◽  
H. A. Calderon ◽  
K. J. Batenburg ◽  
V. Radmilovic ◽  
Ch. Kisielowski
Keyword(s):  
Three Dimensional ◽  
Image Simulation ◽  
Hrem Image ◽  
Discrete Tomography ◽  
Grid Data ◽  
Atomic Column ◽  
Volumetric Reconstruction ◽  
Exact Position ◽  
Dimensional Shape ◽  
Three Dimensional Shape

ABSTRACTLow-resolution tomography requires recording images every few degrees. As a consequence, the sample is often degraded after such a procedure. However the required input can be reduced drastically by using knowledge about the position and the number of atoms in each atomic column. This concept has been tested in the present investigation where HREM image simulation (MacTempas) together with exit wave reconstruction (FEI Trueimage) have been performed. A cubeoctahedral nanoparticle is used for the simulation with different compositions i.e., pure solid Ga and In-Ga particles. Six different zone axes ([111], [111], [001], [110], [110], [011]) have been used and the parameters of an aberration corrected microscope (200kV, Cs = 0 mm, resolution = 0.5Å). The discrete grid data were determined by constructing a channeling map from the reconstructed exit wave images. In this special case only three projections [001], [110], [110] were sufficient to find a unique volumetric reconstruction, illustrating the potential of the method. The other projections were used for checking the solution. The comparison between the projected potentials (simulated input) and the final result shows that discrete tomography reconstructs the exact position of all 309 atoms and the three-dimensional shape of the nanocrystal.

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