Literature DB >> 17431720

Comparison of algorithms to enhance spicules of spiculated masses on mammography.

Mehul P Sampat1, Gary J Whitman, Alan C Bovik, Mia K Markey.   

Abstract

We have developed an algorithm for enhancement of spicules of spiculated masses, which uses the discrete radon transform. Previously, we employed a commonly used method to compute the discrete radon transform, which we refer to as the DRT. Recently, a new, more exact method to compute the discrete radon transform was developed by Averbuch et al, which is called the fast slant stack (FSS) method. Our hypothesis was that this new formulation would help to improve our enhancement algorithm. To test this idea, we conducted multiple two-alternative-forced-choice observer studies and found that most observers preferred the enhanced images generated with the FSS method.

Mesh:

Year:  2008        PMID: 17431720      PMCID: PMC3043831          DOI: 10.1007/s10278-007-9015-x

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  11 in total

Review 1.  Computer-aided diagnosis in radiology: potential and pitfalls.

Authors:  K Doi; H MacMahon; S Katsuragawa; R M Nishikawa; Y Jiang
Journal:  Eur J Radiol       Date:  1999-08       Impact factor: 3.528

Review 2.  Image reconstruction--a tutorial.

Authors:  G L Zeng
Journal:  Comput Med Imaging Graph       Date:  2001 Mar-Apr       Impact factor: 4.790

Review 3.  Computer-aided detection and diagnosis of breast cancer.

Authors:  C J Vyborny; M L Giger; R M Nishikawa
Journal:  Radiol Clin North Am       Date:  2000-07       Impact factor: 2.303

4.  Computer-aided diagnosis in medical imaging.

Authors:  M L Giger; N Karssemeijer; S G Armato
Journal:  IEEE Trans Med Imaging       Date:  2001-12       Impact factor: 10.048

5.  Statistical image reconstruction for polyenergetic X-ray computed tomography.

Authors:  Idris A Elbakri; Jeffrey A Fessler
Journal:  IEEE Trans Med Imaging       Date:  2002-02       Impact factor: 10.048

6.  Breast cancer: importance of spiculation in computer-aided detection.

Authors:  C J Vyborny; T Doi; K F O'Shaughnessy; H M Romsdahl; A C Schneider; A A Stein
Journal:  Radiology       Date:  2000-06       Impact factor: 11.105

7.  Iterative tomographic image reconstruction using Fourier-based forward and back-projectors.

Authors:  Samuel Matej; Jeffrey A Fessler; Ivan G Kazantsev
Journal:  IEEE Trans Med Imaging       Date:  2004-04       Impact factor: 10.048

8.  The reliability of measuring physical characteristics of spiculated masses on mammography.

Authors:  M P Sampat; G J Whitman; T W Stephens; L D Broemeling; N A Heger; A C Bovik; M K Markey
Journal:  Br J Radiol       Date:  2006-12       Impact factor: 3.039

9.  O(N(2)log(2)N) filtered backprojection reconstruction algorithm for tomography.

Authors:  S Basu; Y Bresler
Journal:  IEEE Trans Image Process       Date:  2000       Impact factor: 10.856

10.  The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories.

Authors:  L Liberman; A F Abramson; F B Squires; J R Glassman; E A Morris; D D Dershaw
Journal:  AJR Am J Roentgenol       Date:  1998-07       Impact factor: 3.959

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  1 in total

1.  A modified undecimated discrete wavelet transform based approach to mammographic image denoising.

Authors:  Eri Matsuyama; Du-Yih Tsai; Yongbum Lee; Masaki Tsurumaki; Noriyuki Takahashi; Haruyuki Watanabe; Hsian-Min Chen
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

  1 in total

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