August 29th, 2019

лошадь, диаграмма, Фейнман

Математическая модель приготовления мяса

A Mathematical Model for Meat Cooking: https://arxiv.org/abs/1908.10787

We present an accurate two-dimensional mathematical model for steak cooking based on Flory-Rehner theory. The model treats meat as a poroelastic medium saturated with fluid. Heat from cooking induces protein matrix deformation and moisture loss, leading to shrinkage. Numerical simulations indicate good agreement with multiple sources of experimental data. Moreover, this work presents a new and computationally non-expensive method to account for shrinkage.

13 pages, 7 figures
лошадь, диаграмма, Фейнман

Как заштопать синограмму, или Что делать, если несколько детекторов в ПЭТ-сканнере полетели?

Ответ: обучить нейронную сеть залатывать такие дыры:

CNN-Based PET Sinogram Repair to Mitigate Defective Block Detectors: https://arxiv.org/abs/1908.10252

Positron emission tomography (PET) scanners continue to increase sensitivity and axial coverage by adding an ever expanding array of block detectors. As they age, one or more block detectors may lose sensitivity due to a malfunction or component failure. The sinogram data missing as a result thereof can lead to artifacts and other image degradations. We propose to mitigate the effects of malfunctioning block detectors by carrying out sinogram repair using a deep convolutional neural network. Experiments using whole-body patient studies with varying amounts of raw data removed are used to show that the neural network significantly outperforms previously published methods with respect to normalized mean squared error for raw sinograms, a multi-scale structural similarity measure for reconstructed images and with regard to quantitative accuracy.

Submitted to the Journal of Physics in Medicine and Biology