Literature DB >> 6333158

Mass estimates by computed tomography: physical density from CT numbers.

R T Mull.   

Abstract

The premise is suggested that attenuation in CT scanning should be expressed in terms of physical density rather than CT numbers. A simple experiment was performed to establish a calibration curve of physical density vs. CT number which, within the constraints of beam hardening and other sources of CT number variation and drift, is unique to the specific scanner being calibrated. By expressing attenuation values in terms of physical density, the mass in grams of any organ or tumor can be calculated in vivo, from its volume determined also by CT. As an example, density of bone becomes additional information with any CT scan done for another purpose that includes plane(s) across a skeletal structure.

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Year:  1984        PMID: 6333158     DOI: 10.2214/ajr.143.5.1101

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  37 in total

1.  Semiautomatic segmentation of longitudinal computed tomography images in a rat model of lung injury by surfactant depletion.

Authors:  Yi Xin; Gang Song; Maurizio Cereda; Stephen Kadlecek; Hooman Hamedani; Yunqing Jiang; Jennia Rajaei; Justin Clapp; Harrilla Profka; Natalie Meeder; Jue Wu; Nicholas J Tustison; James C Gee; Rahim R Rizi
Journal:  J Appl Physiol (1985)       Date:  2014-11-13

2.  A quantitative computed tomography assessment of brain weight, volume, and specific gravity in severe head trauma.

Authors:  Thomas Lescot; Marie-Pierre Bonnet; Abederrezak Zouaoui; Jean-Charles Muller; Catalin Fetita; Pierre Coriat; Louis Puybasset
Journal:  Intensive Care Med       Date:  2005-07-01       Impact factor: 17.440

3.  HRCT texture analysis for pure or part-solid ground-glass nodules: distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma.

Authors:  Takuya Yagi; Motohiko Yamazaki; Riuko Ohashi; Rei Ogawa; Hiroyuki Ishikawa; Norihiko Yoshimura; Masanori Tsuchida; Yoichi Ajioka; Hidefumi Aoyama
Journal:  Jpn J Radiol       Date:  2017-12-22       Impact factor: 2.374

4.  Comparison of volume and attenuation of the spleen between postmortem and antemortem computed tomography.

Authors:  Hidemi Okuma; Wataru Gonoi; Masanori Ishida; Go Shirota; Shigeaki Kanno; Yukako Shintani; Hiroyuki Abe; Masashi Fukayama; Kuni Ohtomo
Journal:  Int J Legal Med       Date:  2016-02-25       Impact factor: 2.686

5.  Vertical gradients of lung density in healthy supine men.

Authors:  A B Millar; D M Denison
Journal:  Thorax       Date:  1989-06       Impact factor: 9.139

6.  Internal growth of nonsolid lung nodules: radiologic-pathologic correlation.

Authors:  Lijuan Zhang; David F Yankelevitz; Darryl Carter; Claudia I Henschke; Rowena Yip; Anthony P Reeves
Journal:  Radiology       Date:  2012-04       Impact factor: 11.105

Review 7.  Lung imaging: how to get better look inside the lung.

Authors:  Lorenzo Ball; Veronica Vercesi; Federico Costantino; Karthikka Chandrapatham; Paolo Pelosi
Journal:  Ann Transl Med       Date:  2017-07

8.  Interfragmentary surface area as an index of comminution severity in cortical bone impact.

Authors:  Christina L Beardsley; Donald D Anderson; J Lawrence Marsh; Thomas D Brown
Journal:  J Orthop Res       Date:  2004-12-08       Impact factor: 3.494

9.  Estimation of regional gas and tissue volumes of the lung in supine man using computed tomography.

Authors:  D M Denison; M D Morgan; A B Millar
Journal:  Thorax       Date:  1986-08       Impact factor: 9.139

10.  Image reconstruction affects computer tomographic assessment of lung hyperinflation.

Authors:  Andreas W Reske; Harald Busse; Marcelo B P Amato; Matthias Jaekel; Thomas Kahn; Peter Schwarzkopf; Dierk Schreiter; Udo Gottschaldt; Matthias Seiwerts
Journal:  Intensive Care Med       Date:  2008-06-08       Impact factor: 17.440

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