Literature DB >> 16777564

Imaging of small high-density structures in CT A phantom study.

Empar Rollano-Hijarrubia1, R Stokking, Frits van der Meer, Wiro J Niessen.   

Abstract

RATIONALE AND
OBJECTIVES: The aim of this work is to study how the limited spatial resolution of a computed tomographic (CT) system affects the imaging of small high-density structures. This knowledge is relevant not only to understand and interpret clinical data, but also to apply and develop quantification methods for calcifications and stented vessels.
MATERIALS AND METHODS: A dedicated phantom containing small differently sized aluminum cylinders was imaged on a 64-slice multidetector row CT (MDCT) while varying acquisition and reconstruction parameters from a high-resolution protocol. In addition, a bead phantom was imaged to estimate the point spread function (PSF) for the different parameter settings. The accuracy in determining object density and size was established for various imaging protocols and compared with simulations based on the estimated PSF.
RESULTS: Attenuation values and size measurements were accurate for objects larger than two times the size of the system PSF at the full-width-at-half-maximum. For smaller objects, attenuation values were increasingly underestimated and size was increasingly overestimated. The convolution kernel had the most influence on object signal and size. Use of edge-enhancing kernels yielded more accurate size measurements and higher signal for small objects. However, their application was constrained by noise amplification and edge-ringing artifacts, which led to lower signal-to-noise ratio, degrading the visualization of low densities and small high-density objects.
CONCLUSION: Results presented in this report provide insight into limitations in the quantification of small high-density structures and their effect on the visualization of surrounding tissues with recently developed MDCT systems.

Entities:  

Mesh:

Year:  2006        PMID: 16777564     DOI: 10.1016/j.acra.2006.03.009

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  14 in total

1.  Application of CT-PSF-based computer-simulated lung nodules for evaluating the accuracy of computer-aided volumetry.

Authors:  Ayumu Funaki; Masaki Ohkubo; Shinichi Wada; Kohei Murao; Toru Matsumoto; Shinji Niizuma
Journal:  Radiol Phys Technol       Date:  2012-03-25

2.  Image quality and radiation exposure in 320-row temporal bone computed tomography.

Authors:  H C Bauknecht; E Siebert; A Dannenberg; G Bohner; C Jach; S Diekmann; C Scheurig; R Klingebiel
Journal:  Dentomaxillofac Radiol       Date:  2010-05       Impact factor: 2.419

3.  Imaging of small spherical structures in CT: simulation study using measured point spread function.

Authors:  Masaki Ohkubo; Shinichi Wada; Masayuki Kunii; Toru Matsumoto; Kanae Nishizawa
Journal:  Med Biol Eng Comput       Date:  2007-11-10       Impact factor: 2.602

4.  Use of computed tomography scans for cochlear implants.

Authors:  Bruce R Whiting; Timothy A Holden; Barry S Brunsden; Charles C Finley; Margaret W Skinner
Journal:  J Digit Imaging       Date:  2008-09       Impact factor: 4.056

5.  ACCURATUM: improved calcium volume scoring using a mesh-based algorithm--a phantom study.

Authors:  Stefan C Saur; Hatem Alkadhi; Lotus Desbiolles; Gábor Székely; Philippe C Cattin
Journal:  Eur Radiol       Date:  2008-09-26       Impact factor: 5.315

6.  A method for evaluating the performance of computer-aided detection of pulmonary nodules in lung cancer CT screening: detection limit for nodule size and density.

Authors:  Hajime Kobayashi; Masaki Ohkubo; Akihiro Narita; Janaka C Marasinghe; Kohei Murao; Toru Matsumoto; Shusuke Sone; Shinichi Wada
Journal:  Br J Radiol       Date:  2017-01-03       Impact factor: 3.039

7.  Kidney stone volume estimation from computerized tomography images using a model based method of correcting for the point spread function.

Authors:  Xinhui Duan; Jia Wang; Mingliang Qu; Shuai Leng; Yu Liu; Amy Krambeck; Cynthia McCollough
Journal:  J Urol       Date:  2012-07-21       Impact factor: 7.450

8.  Using Helical CT to Predict Stone Fragility in Shock Wave Lithotripsy (SWL).

Authors:  James C Williams; Chad A Zarse; Molly E Jackson; James E Lingeman; James A McAteer
Journal:  AIP Conf Proc       Date:  2007-04-05

9.  Observer-independent nodule-detectability index for low-dose lung cancer screening CT: a pilot study.

Authors:  Masaki Ohkubo; Shinichi Wada; Satoshi Kanai; Kazuhiro Ishikawa; Janaka C Marasinghe; Toru Matsumoto
Journal:  Radiol Phys Technol       Date:  2013-06-09

10.  Impact of Reconstruction Algorithms and Gender-Associated Anatomy on Coronary Calcium Scoring with CT: An Anthropomorphic Phantom Study.

Authors:  Qin Li; Songtao Liu; Kyle J Myers; Marios A Gavrielides; Rongping Zeng; Berkman Sahiner; Nicholas Petrick
Journal:  Acad Radiol       Date:  2016-09-22       Impact factor: 3.173

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