scholarly journals Erratum: Structure Model Index Does Not Measure Rods and Plates in Trabecular Bone

2015 ◽  
Vol 6 ◽  
Keyword(s):  
Trabecular Bone ◽  
Structure Model ◽  
Structure Model Index

scholarly journals Structure Model Index Does Not Measure Rods and Plates in Trabecular Bone

2015 ◽  
Vol 6 ◽  
Author(s):  
Phil L. Salmon ◽  
Claes Ohlsson ◽  
Sandra J. Shefelbine ◽  
Michael Doube
Keyword(s):  
Trabecular Bone ◽  
Structure Model ◽  
Structure Model Index

scholarly journals Analysis of the Morpho-Geometrical Changes of the Root Canal System Produced by TF Adaptive vs. BioRace: A Micro-Computed Tomography Study

Materials ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 531
Author(s):  
Loai Alsofi ◽  
Muhannad Al Harbi ◽  
Martin Stauber ◽  
Khaled Balto
Keyword(s):  
Surface Area ◽  
Root Canal ◽  
Type I ◽  
Structure Model ◽  
Canal Surface ◽  
Canal System ◽  
Structure Model Index ◽  
Continuous Rotation ◽  
Before And After ◽  
Root Canal System

We aimed to analyze the morpho-geometric changes of the root canal system created by two rotary systems (TF Adaptive and BioRace) using micro-CT technology. Two concepts of rotary file system kinematics, continuous rotation and adaptive kinematics, were used in root canal preparation. Twenty mandibular molars (n = 20) were selected with the following criteria: the teeth have mesial roots with a single and continuous isthmus connecting the mesiobuccal and mesiolingual canals (Vertucci’s Type I configuration) and distal roots with independent canals. Teeth were scanned at a resolution of 14 μm. Canals were divided equally into two groups and then enlarged sequentially using the BioRace system and TF Adaptive system according to manufacturer protocol. Co-registered images, before and after preparation, were evaluated for morphometric measurements of canal surface area, volume, structure model index, thickness, straightening, and un-instrumented surface area. Before and after preparation, data were statistically analyzed using a paired sample t-test. After preparation, data were analyzed using an unpaired sample test. The preparation by both systems significantly changed canal surface area, volume, structure model index, and thickness in both systems. There were no significant differences between instrument types with respect to these parameters (p > 0.05). TF Adaptive was associated with less straightening (8% compared with 17% for BioRace in the mesial canal, p > 0.05). Both instrumentation systems produced canal preparations with adequate geometrical changes. BioRace straightened the mesial canals more than TF Adaptive.

scholarly journals Structure Model Index Changes in the Femoral Epiphyseal Region on Micro-Computed Tomography Caused by a Supplement Diet in Ovariectomized Rats

2014 ◽  
Vol 23 (2) ◽  
pp. 169-176 ◽  
Author(s):  
Hiroshi Nakada ◽  
Toshiro Sakae ◽  
Takehiro Watanabe ◽  
Takahiro Takahashi ◽  
Kanami Fujita ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Ovariectomized Rats ◽  
Structure Model ◽  
Micro Computed Tomography ◽  
Structure Model Index ◽  
Index Changes

scholarly journals MESH FREE ESTIMATION OF THE STRUCTURE MODEL INDEX

2011 ◽  
Vol 28 (3) ◽  
pp. 179 ◽  
Author(s):  
Joachim Ohser ◽  
Claudia Redenbach ◽  
Katja Schladitz
Keyword(s):  
Specific Surface ◽  
Surface Area ◽  
Specific Surface Area ◽  
Volume Fraction ◽  
Structure Model ◽  
Shape Factors ◽  
Closed Set ◽  
Structure Model Index ◽  
Steiner Formula ◽  
Random Closed Set

The structure model index (SMI) is a means of subsuming the topology of a homogeneous random closed set under just one number, similar to the isoperimetric shape factors used for compact sets. Originally, the SMI is defined as a function of volume fraction, specific surface area and first derivative of the specific surface area, where the derivative is defined and computed using a surface meshing. The generalised Steiner formula yields however a derivative of the specific surface area that is – up to a constant – the density of the integral of mean curvature. Consequently, an SMI can be defined without referring to a discretisation and it can be estimated from 3D image data without need to mesh the surface but using the number of occurrences of 2×2×2 pixel configurations, only. Obviously, it is impossible to completely describe a random closed set by one number. In this paper, Boolean models of balls and infinite straight cylinders serve as cautionary examples pointing out the limitations of the SMI. Nevertheless, shape factors like the SMI can be valuable tools for comparing similar structures. This is illustrated on real microstructures of ice, foams, and paper.

Fast calibration of CBED patterns for quantitative analysis

1993 ◽  
Vol 51 ◽  
pp. 674-675
Author(s):  
M.A. Gribelyuk ◽  
M. Rühle
Keyword(s):  
Reciprocal Lattice ◽  
Accurate Determination ◽  
Incident Beam ◽  
Crystal Thickness ◽  
Structure Model ◽  
Beam Direction ◽  
Transmitted Beam ◽  
Reciprocal Vector ◽  
On Line

A new method is suggested for the accurate determination of the incident beam direction K, crystal thickness t and the coordinates of the basic reciprocal lattice vectors V1 and V2 (Fig. 1) of the ZOLZ plans in pixels of the digitized 2-D CBED pattern. For a given structure model and some estimated values Vest and Kest of some point O in the CBED pattern a set of line scans AkBk is chosen so that all the scans are located within CBED disks.The points on line scans AkBk are conjugate to those on A0B0 since they are shifted by the reciprocal vector gk with respect to each other. As many conjugate scans are considered as CBED disks fall into the energy filtered region of the experimental pattern. Electron intensities of the transmitted beam I0 and diffracted beams Igk for all points on conjugate scans are found as a function of crystal thickness t on the basis of the full dynamical calculation.

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