Results 11 to 20 of about 1,753,142 (356)
Factors modulating 99mTc‐MAA planar lung dosimetry for 90Y radioembolization
Abstract Purpose To investigate the accuracy and biases of predicted lung shunt fraction (LSF) and lung dose (LD) calculations via 99mTc‐macro‐aggregated albumin (99mTc‐MAA) planar imaging for treatment planning of 90Y‐microsphere radioembolization.
Benjamin P. Lopez+4 more
wiley +1 more source
Uniqueness of radiomic features in non‐small cell lung cancer
Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley +1 more source
Some new numerical schemes for finding the solutions to nonlinear equations
We introduce a sequence of third and fourth-order iterative schemes for finding the roots of nonlinear equations by using the decomposition technique and Simpson's one-third rule.
Awais Gul Khan+3 more
doaj +1 more source
Abstract Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three metrics (fiducial‐, region‐, and intensity‐based) were jointly used in DIR algorithm for improved accuracy ...
Xin Xie+6 more
wiley +1 more source
Extensions and applications of the iterative method [PDF]
9 pages, 6 figures, published in A& ...
E. Athanassoula+3 more
openaire +5 more sources
Image quality improvement in low‐dose chest CT with deep learning image reconstruction
Abstract Objectives To investigate the clinical utility of deep learning image reconstruction (DLIR) for improving image quality in low‐dose chest CT in comparison with 40% adaptive statistical iterative reconstruction‐Veo (ASiR‐V40%) algorithm. Methods This retrospective study included 86 patients who underwent low‐dose CT for lung cancer screening ...
Qian Tian+7 more
wiley +1 more source
Iterative Methods for Solving a System of Linear Equations in a Bipolar Fuzzy Environment
We develop the solution procedures to solve the bipolar fuzzy linear system of equations (BFLSEs) with some iterative methods namely Richardson method, extrapolated Richardson (ER) method, Jacobi method, Jacobi over-relaxation (JOR) method, Gauss− ...
Muhammad Akram+3 more
doaj +1 more source
A novel scheme of k-step iterations in digital metric spaces
In computational mathematics, the comparison of convergence rate in different iterative methods is an important concept from theoretical point of view. The importance of this comparison is relevant for researchers who want to discover which one of these ...
Thongchai Botmart+4 more
doaj +1 more source
The iterative transformation method [PDF]
In a transformation method, the numerical solution of a given boundary value problem is obtained by solving one or more related initial value problems. Therefore, a transformation method, like a shooting method, is an initial value method. The main difference between a transformation and a shooting method is that the former is conceived and derive its ...
openaire +4 more sources
Abstract Purpose To assess whether the joint application of hybrid iterative reconstruction (HIR) and an adaptive filter (AF) could reduce streak artifacts and improve image quality of neck‐and‐shoulder computed tomography (CT). Methods This study included 96 patients with suspicious neck lesions who underwent a routine nonenhanced scan on a 64‐slice ...
Wenfeng Jin+6 more
wiley +1 more source