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Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

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For any given polymer, the weight average molecular weight (Mw) is higher than, if not equal to, the number average molecular weight (Mn). The only situation in which the weight average molecular weight and the number average molecular weight are equal is when a polymer consists only of chains with equal molecular weight. However, this never happens in a synthetic polymer, since it is difficult to control the polymerization process up to a molecular level with accuracy to a hundred percent.
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Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

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Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...
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Polymer Classification: Architecture01:14

Polymer Classification: Architecture

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Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
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Polymer Classification: Stereospecificity01:26

Polymer Classification: Stereospecificity

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Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
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Characteristics and Nomenclature of Homopolymers01:00

Characteristics and Nomenclature of Homopolymers

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Polymers that are made up of identical monomer units are called homopolymers. Only one repeating unit is involved in the construction of the homopolymer structure. For example, as depicted in Figure 1, polypropylene is a homopolymer constituted of propylene monomers. Here, the only repeating unit in the polymer chain is propylene.
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The Preparation and Properties of Thermo-reversibly Cross-linked Rubber Via Diels-Alder Chemistry
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Handling Density Conversion in TPS.

Tomonori Isobe1,2, Yutaro Mori2, Hideyuki Takei1,2

  • 1Faculty of Medicine, University of Tsukuba.

Igaku Butsuri : Nihon Igaku Butsuri Gakkai Kikanshi = Japanese Journal of Medical Physics : an Official Journal of Japan Society of Medical Physics
|April 27, 2017
PubMed
Summary
This summary is machine-generated.

Converting CT values to physical density offers a faster, more accurate method for radiation therapy planning compared to electron density. This is crucial for both photon and particle therapy dose calculations.

Keywords:
electron densitylinear attenuation coefficientmass attenuation coefficientphysical densitystopping powertreatment planning system

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy Technology

Background:

  • Accurate conversion of CT values to material densities is fundamental for radiation therapy planning.
  • Current methods primarily use electron density for photon therapy, relying on Compton scattering principles.
  • Particle therapy requires CT-to-stopping power conversion, directly linked to electron density.

Purpose of the Study:

  • To evaluate a novel method converting CT values to physical density for radiation therapy.
  • To compare the proposed physical density method with the conventional electron density approach.
  • To highlight the importance of CT value conversion for both photon and particle therapy.

Main Methods:

  • Investigated the conversion of CT values to physical density.
  • Compared this new method with the established electron density conversion.
  • Analyzed the impact on dose calculation in photon and particle therapy planning systems.

Main Results:

  • The physical density conversion method shows potential for increased speed and accuracy.
  • Electron density remains critical for TERMA and kernel calculations in photon therapy.
  • CT-to-stopping power conversion is essential for accurate dose distribution in particle therapy.

Conclusions:

  • Conversion to physical density presents a promising advancement for radiation therapy planning.
  • Accurate density conversion is vital for precise dose calculations in photon and particle therapy.
  • Further research into physical density methods could enhance treatment efficacy and safety.