Your English writing platform
Discover LudwigSuggestions(2)
Exact(7)
The first term in formula (11) represents the difference between the projection of the reconstructed projection and the measured projection, that is, the data fidelity item; the second term is the wavelet sparse transformation constraint term; the third term is the total variation difference constraint term.
where P represents the measured projection data of CT.
The resulting simulated projection data are scaled to the normalized measured projection data.
The reconstruction starts with loading the measured projection data and an optional co-registered CT.
Iterative reconstruction techniques employ an initial estimate of voxel attenuation to predict projection data; estimates of voxel attenuation are iteratively adjusted to minimize the difference between the predicted projection data and the measured projection data.
Writing x for an (unknown) volume (in vector form), p for the measured projection data (also in vector form), and W for the tomographic system matrix, a basic algebraic formulation for the tomography problem is given by begin{aligned} min _x ||Wx - p ||_2^2.
Similar(53)
For MCR, measured projections were reconstructed into a 70 × 70 × 70 matrix with 4-mm cubic voxels.
Measured projections of a myocardial phantom (Data Spectrum Corp ,Hillsborough, NC, USA) were used to enable quantitative MCR evaluation and to compare the MCR to the NM 530c reconstruction.
The CD and WD can be alternatives and superior to other 2-D approaches because they both exhibits some advantages such as permutation invariance, rotation invariance (reflection invariance) and the ability to measure projection uniformity.
Note that this is very different from measuring projections of a sample's SAMM along mechanistic or any other non-orthogonal signatures, since this procedure will not preserve distance.
Sperm head areas calculated from ocular micrometer measurements were slightly smaller (P<0.05) than areas measured using projection.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com