Literature DB >> 27429998

Construction of realistic phantoms from patient images and a commercial three-dimensional printer.

Shuai Leng1, Baiyu Chen1, Thomas Vrieze1, Joel Kuhlmann2, Lifeng Yu1, Amy Alexander1, Jane Matsumoto1, Jonathan Morris1, Cynthia H McCollough1.   

Abstract

The purpose of this study was to use three-dimensional (3-D) printing techniques to construct liver and brain phantoms having realistic pathologies, anatomic structures, and heterogeneous backgrounds. Patient liver and head computed tomography (CT) images were segmented into tissue, vessels, liver lesion, white and gray matter, and cerebrospinal fluid (CSF). Stereolithography files of each object were created and imported into a commercial 3-D printer. Printing materials were assigned to each object after test scans, which showed that the printing materials had CT numbers ranging from 70 to 121 HU at 120 kV. Printed phantoms were scanned on a CT scanner and images were evaluated. CT images of the liver phantom had measured CT numbers of 77.8 and 96.6 HU for the lesion and background, and 137.5 to 428.4 HU for the vessels channels, which were filled with iodine solutions. The difference in CT numbers between lesions and background (18.8 HU) was representative of the low-contrast values needed for optimization tasks. The liver phantom background was evaluated with Haralick features and showed similar texture between patient and phantom images. CT images of the brain phantom had CT numbers of 125, 134, and 108 HU for white matter, gray matter, and CSF, respectively. The CT number differences were similar to those in patient images.

Entities:  

Keywords:  brain; computed tomography; image quality; liver; phantom; three-dimensional printer

Year:  2016        PMID: 27429998      PMCID: PMC4935810          DOI: 10.1117/1.JMI.3.3.033501

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  28 in total

Review 1.  Computed tomography radiation dose optimization: scanning protocols and clinical applications of automatic exposure control.

Authors:  Mannudeep K Kalra; Nausheen Naz; Stefania M R Rizzo; Michael A Blake
Journal:  Curr Probl Diagn Radiol       Date:  2005 Sep-Oct

2.  Penalized-likelihood sinogram restoration for computed tomography.

Authors:  Patrick J La Rivière; Junguo Bian; Phillip A Vargas
Journal:  IEEE Trans Med Imaging       Date:  2006-08       Impact factor: 10.048

3.  Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography.

Authors:  Jing Wang; Tianfang Li; Hongbing Lu; Zhengrong Liang
Journal:  IEEE Trans Med Imaging       Date:  2006-10       Impact factor: 10.048

Review 4.  CT dose reduction and dose management tools: overview of available options.

Authors:  Cynthia H McCollough; Michael R Bruesewitz; James M Kofler
Journal:  Radiographics       Date:  2006 Mar-Apr       Impact factor: 5.333

5.  Application of the noise power spectrum in modern diagnostic MDCT: part II. Noise power spectra and signal to noise.

Authors:  K L Boedeker; M F McNitt-Gray
Journal:  Phys Med Biol       Date:  2007-06-08       Impact factor: 3.609

6.  A three-dimensional statistical approach to improved image quality for multislice helical CT.

Authors:  Jean-Baptiste Thibault; Ken D Sauer; Charles A Bouman; Jiang Hsieh
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

7.  Comparison of model and human observer performance for detection and discrimination tasks using dual-energy x-ray images.

Authors:  Samuel Richard; Jeffrey H Siewerdsen
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

8.  Image covariance and lesion detectability in direct fan-beam x-ray computed tomography.

Authors:  Adam Wunderlich; Frédéric Noo
Journal:  Phys Med Biol       Date:  2008-04-18       Impact factor: 3.609

9.  Dose reduction in CT by anatomically adapted tube current modulation. II. Phantom measurements.

Authors:  W A Kalender; H Wolf; C Suess
Journal:  Med Phys       Date:  1999-11       Impact factor: 4.071

10.  Iterative reconstruction technique for reducing body radiation dose at CT: feasibility study.

Authors:  Amy K Hara; Robert G Paden; Alvin C Silva; Jennifer L Kujak; Holly J Lawder; William Pavlicek
Journal:  AJR Am J Roentgenol       Date:  2009-09       Impact factor: 3.959

View more
  13 in total

1.  Paper-based 3D printing of anthropomorphic CT phantoms: Feasibility of two construction techniques.

Authors:  Paul Jahnke; Stephan Schwarz; Marco Ziegert; Felix Benjamin Schwarz; Bernd Hamm; Michael Scheel
Journal:  Eur Radiol       Date:  2018-08-16       Impact factor: 5.315

2.  Effect of Radiation Dose Reduction and Reconstruction Algorithm on Image Noise, Contrast, Resolution, and Detectability of Subtle Hypoattenuating Liver Lesions at Multidetector CT: Filtered Back Projection versus a Commercial Model-based Iterative Reconstruction Algorithm.

Authors:  Justin Solomon; Daniele Marin; Kingshuk Roy Choudhury; Bhavik Patel; Ehsan Samei
Journal:  Radiology       Date:  2017-02-07       Impact factor: 11.105

3.  A Systematic Review of Three-Dimensional Printing in Liver Disease.

Authors:  Elizabeth Rose Perica; Zhonghua Sun
Journal:  J Digit Imaging       Date:  2018-10       Impact factor: 4.056

4.  Imaging Properties of Additive Manufactured (3D Printed) Materials for Potential Use for Phantom Models.

Authors:  Elizabeth Silvestro; Khalil N Betts; Michael L Francavilla; Savvas Andronikou; Raymond W Sze
Journal:  J Digit Imaging       Date:  2020-04       Impact factor: 4.056

5.  Patient-specific three-dimensional printing for pre-surgical planning in hepatocellular carcinoma treatment.

Authors:  Elizabeth Perica; Zhonghua Sun
Journal:  Quant Imaging Med Surg       Date:  2017-12

6.  Anatomic modeling using 3D printing: quality assurance and optimization.

Authors:  Shuai Leng; Kiaran McGee; Jonathan Morris; Amy Alexander; Joel Kuhlmann; Thomas Vrieze; Cynthia H McCollough; Jane Matsumoto
Journal:  3D Print Med       Date:  2017-04-26

7.  Development of an organ-specific insert phantom generated using a 3D printer for investigations of cardiac computed tomography protocols.

Authors:  Kamarul A Abdullah; Mark F McEntee; Warren Reed; Peter L Kench
Journal:  J Med Radiat Sci       Date:  2018-04-30

8.  Three-dimensional printing CT-derived objects with controllable radiopacity.

Authors:  Borhan Alhosseini Hamedani; Alexa Melvin; Kirubahara Vaheesan; Sameer Gadani; Keith Pereira; Andrew F Hall
Journal:  J Appl Clin Med Phys       Date:  2018-02-07       Impact factor: 2.102

9.  Implementation of iterative metal artifact reduction in the pre-planning-procedure of three-dimensional physical modeling.

Authors:  Roy P Marcus; Jonathan M Morris; Jane M Matsumoto; Amy E Alexander; Ahmed F Halaweish; James A Kelly; Joel G Fletcher; Cynthia H McCollough; Shuai Leng
Journal:  3D Print Med       Date:  2017-03-31

Review 10.  Role of innovative 3D printing models in the management of hepatobiliary malignancies.

Authors:  Peter Bangeas; Vassilios Tsioukas; Vasileios N Papadopoulos; Georgios Tsoulfas
Journal:  World J Hepatol       Date:  2019-07-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.