Admire vs. Safire: Objective comparison of CT reconstruction algorithms and their noise properties
Ingvild Dalehaug; Kirsten Nygaard Bolstad; Daniel Aadnevik; Silje Flataboe; Helge Egil Seime Pettersen · 2017 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Purpose: Siemens has developed several iterative reconstruction (IR) algorithms on their CT scanners. SAFIRE is available on most of their CT scanners. The latest algorithm, ADMIRE, is available on their newest high-end CT scanners. The aim of our study was to compare the noise reduction properties of the two IR algorithms using objective methods. Methods and Materials: The homogeneous module of the Catphan phantom was scanned on a Siemens AS+ and a Siemens Flash CT scanner using an axial abdomen protocol with fixed tube current at two dose levels. The images were reconstructed with an abdomen
Excerpt shown for reference under fair use — read the full paper at the publisher.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Resonant amplitude distribution of the Hilda asteroids and the free-floating planet flyby scenario
Negative / Null Result Report3D Simulations of Plasma Filaments in the Scrape Off Layer: A Comparison with Models of Reduced Dimensionality
Negative / Null Result ReportHerd Behaviour in Public Goods Games
Negative / Null Result ReportAccurate coarse-graining of small organic molecules in melts and thin films using density-dependent potentials
Negative / Null Result ReportSemi-Analytical Models for Lensing by Dark Halos: I. Splitting Angles
Negative / Null Result ReportSimulated Annealing with Tsallis Weights - A Numerical Comparison
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: arXiv