Literature DB >> 29689765

Characterization of CT Hounsfield Units for 3D acquisition trajectories on a dedicated breast CT system.

Jainil P Shah1,2,3, Steve D Mann4, Randolph L McKinley5, Martin P Tornai2,3,6.   

Abstract

Hounsfield Units (HU) are used clinically in differentiating tissue types in a reconstructed CT image, and therefore the HU accuracy of a system is important, especially when using multiple sources, novel detector and non-traditional trajectories. Dedicated clinical breast CT (BCT) systems therefore should be similarly evaluated. In this study, uniform cylindrical phantoms filled with various uniform density fluids were used to characterize differences in HU values between simple circular and complex 3D (saddle) orbits. Based on ACR recommendations, the HU accuracy, center-to-edge variability within a slice, and overall variability within the reconstructed volume were characterized for simple and complex acquisitions possible on a single versatile BCT system. Results illustrate the statistically significantly better performance of the saddle orbit, especially close to the chest and nipple regions of what would clinically be a pendant breast volume. The incomplete cone beam acquisition of a simple circular orbit causes shading artifacts near the nipple, due to insufficient sampling, rendering a major portion of the scanned phantom unusable, whereas the saddle orbit performs exceptionally well and provides a tighter distribution of HU values throughout the reconstructed volumes. This study further establishes the advantages of using 3D acquisition trajectories for breast CT as well as other applications by demonstrating the robustness of HU values throughout large reconstructed volumes.

Entities:  

Keywords:  3D sampling; Breast CT; HU; complex trajectories

Mesh:

Year:  2018        PMID: 29689765      PMCID: PMC6102078          DOI: 10.3233/XST-17350

Source DB:  PubMed          Journal:  J Xray Sci Technol        ISSN: 0895-3996            Impact factor:   1.535


  23 in total

1.  Ordered subset reconstruction for x-ray CT.

Authors:  F J Beekma; C Kamphuis
Journal:  Phys Med Biol       Date:  2001-07       Impact factor: 3.609

2.  CT density measurement of bone graft within an intervertebral lumbar cage: increase of hounsfield units as an indicator for increasing bone mineral content.

Authors:  M Spruit; H Meijers; M Obradov; P G Anderson
Journal:  J Spinal Disord Tech       Date:  2004-06

3.  Cone-beam CT for breast imaging: Radiation dose, breast coverage, and image quality.

Authors:  Avice O'Connell; David L Conover; Yan Zhang; Posy Seifert; Wende Logan-Young; Chuen-Fu Linda Lin; Lawrence Sahler; Ruola Ning
Journal:  AJR Am J Roentgenol       Date:  2010-08       Impact factor: 3.959

4.  X-ray scatter correction method for dedicated breast computed tomography.

Authors:  Ioannis Sechopoulos
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

5.  Characterization of X-ray scattering for various phantoms and clinical breast geometries using breast CT on a dedicated hybrid system.

Authors:  Jainil P Shah; Steve D Mann; Martin P Tornai
Journal:  J Xray Sci Technol       Date:  2017       Impact factor: 1.535

6.  A quality assurance program for image quality of cone-beam CT guidance in radiation therapy.

Authors:  Jean-Pierre Bissonnette; Douglas J Moseley; David A Jaffray
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

7.  The unreliability of CT numbers as absolute values.

Authors:  C Levi; J E Gray; E C McCullough; R R Hattery
Journal:  AJR Am J Roentgenol       Date:  1982-09       Impact factor: 3.959

8.  A quantitative theory of the Hounsfield unit and its application to dual energy scanning.

Authors:  R A Brooks
Journal:  J Comput Assist Tomogr       Date:  1977-10       Impact factor: 1.826

9.  Dedicated breast CT: fibroglandular volume measurements in a diagnostic population.

Authors:  Srinivasan Vedantham; Linxi Shi; Andrew Karellas; Avice M O'Connell
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

10.  Artifacts in CT: recognition and avoidance.

Authors:  Julia F Barrett; Nicholas Keat
Journal:  Radiographics       Date:  2004 Nov-Dec       Impact factor: 5.333

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