Universität zu Köln

Hokamp, Nils Grosse, Obmann, Verena C., Kessner, Rivka, Gilkeson, Robert C., Gupta, Amit, Persigehl, Thorsten, Haneder, Stefan and Ramaiya, Nikhil (2018). Virtual Monoenergetic Images for Diagnostic Assessment of Hypodense Lesions Within the Liver: Semiautomatic Estimation of Window Settings Using Linear Models. J. Comput. Assist. Tomogr., 42 (6). S. 925 - 932. PHILADELPHIA: LIPPINCOTT WILLIAMS & WILKINS. ISSN 1532-3145

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Abstract

Objective The aim of the study was to establish the reference window settings for display of virtual monoenergetic images (VMIs) from spectral detector computed tomography when assessing hypodense liver lesions. Methods In patients with cysts (n = 24) or metastases (n = 26), objective (HU, signal-to-noise ratio [SNR]) and subjective (overall image quality, lesion conspicuity and noise) were assessed. Furthermore, 2 readers determined optimal window center/width (C/W) for conventional images (CIs) and VMIs of 40 to 120 keV. Center/width were modeled against HUliv with and without respect to the keV level (models A and B). Results Attenuation and SNR were significantly higher in low-keV VMIs and improved overall image quality and lesion conspicuity (P 0.05). Model B provided valid estimations of C/W, whereas model A was slightly less accurate. Conclusions The increase in attenuation and SNR on low-keV VMIs requires adjustment of C/W, and they can be estimated in dependency of HUliv using linear models. Reference values for standard display of VMIs of 40 to 120 keV are reported.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Hokamp, Nils Grosse UNSPECIFIED UNSPECIFIED UNSPECIFIED Obmann, Verena C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Kessner, Rivka UNSPECIFIED UNSPECIFIED UNSPECIFIED Gilkeson, Robert C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Gupta, Amit UNSPECIFIED UNSPECIFIED UNSPECIFIED Persigehl, Thorsten UNSPECIFIED UNSPECIFIED UNSPECIFIED Haneder, Stefan UNSPECIFIED UNSPECIFIED UNSPECIFIED Ramaiya, Nikhil UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-167059
DOI:	10.1097/RCT.0000000000000794
Journal or Publication Title:	J. Comput. Assist. Tomogr.
Volume:	42
Number:	6
Page Range:	S. 925 - 932
Date:	2018
Publisher:	LIPPINCOTT WILLIAMS & WILKINS
Place of Publication:	PHILADELPHIA
ISSN:	1532-3145
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language DUAL-ENERGY CT; SPECTRAL DETECTOR CT; METAL-ARTIFACT-REDUCTION; COMPUTED-TOMOGRAPHY; OPTIMIZATION; QUALITY; PRINCIPLES; EXPERIENCE; STANDARD Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/16705