Literature DB >> 20498530

A quantitative approach to sequence and image weighting.

Takeshi Yokoo1, Won C Bae, Gavin Hamilton, Afshin Karimi, James P Borgstede, Brian C Bowen, Claude B Sirlin, Christine B Chung, John V Crues, William G Bradley, Graeme M Bydder.   

Abstract

Weighting is the term most frequently used to describe magnetic resonance pulse sequences and the concept most commonly used to relate image contrast to differences in magnetic resonance tissue properties. It is generally used in a qualitative sense with the single tissue property thought to be most responsible for the contrast used to describe the weighting of the image as a whole. This article describes a quantitative approach for understanding the weighting of sequences and images, using filters and partial derivatives of signal with respect to logarithms of tissue property values. Univariate and multivariate models are described for several pulse sequences including methods for maximizing weighting and calculating both sequence and image weighting ratios. The approach provides insights into difficulties associated with qualitative use of the concept of weighting and a quantitative basis for assessing the signal, contrast, and weighting of commonly used sequences and images.

Mesh:

Year:  2010        PMID: 20498530     DOI: 10.1097/RCT.0b013e3181d3449a

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  8 in total

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Review 3.  Pulse sequences as tissue property filters (TP-filters): a way of understanding the signal, contrast and weighting of magnetic resonance images.

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Journal:  Quant Imaging Med Surg       Date:  2020-05

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Journal:  Radiology       Date:  2019-07-23       Impact factor: 11.105

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8.  Application of a compact magnetic resonance imaging system for toxicologic pathology: evaluation of lithium-pilocarpine-induced rat brain lesions.

Authors:  Yoshikazu Taketa; Motohiro Shiotani; Yoshiharu Tsuru; Sadaharu Kotani; Yoshihide Osada; Tatsuto Fukushima; Akira Inomata; Satoru Hosokawa
Journal:  J Toxicol Pathol       Date:  2015-09-07       Impact factor: 1.628

  8 in total

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