Literature DB >> 15833980

Assessment of multiple sclerosis lesions with spherical harmonics: comparison of MR imaging and pathologic findings.

Daniel Goldberg-Zimring1, Bruria Shalmon, Kelly H Zou, Haim Azhari, Dvora Nass, Anat Achiron.   

Abstract

Spherical harmonics (SH) were used to approximate the volume and three-dimensional geometry of multiple sclerosis (MS) lesions in deceased patients. The institutional ethical committee does not require its approval for studies involving pathologic specimens. Pathologic findings were used as the reference standard. In addition, lesion volume was measured with cylindrical approximation (CA). Volumetric comparisons of biases were based on summary statistics, Spearman correlation, Wilcoxon test, and two-way analysis of variance. Shape comparison metrics included mean distance and Dice similarity coefficient (DSC). Eight of 11 lesions had smaller biases with SH method (P < .001). Median biases with SH and CA did not differ significantly, as compared with pathologic findings (r = 1.00 vs 0.99, respectively). Variances of the biases were significantly smaller for SH (P = .04). Ranges of normalized distance and DSC were 0.1%-2.5% and 75%-96%, respectively. Mean DSC was significantly higher than 70% (P < .001). SH method provided unbiased lesion volume and added geometric information that may enable a better understanding of the pathogenesis and lesion evolution over time. Copyright RSNA, 2005.

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Year:  2005        PMID: 15833980      PMCID: PMC1307515          DOI: 10.1148/radiol.2353032071

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  22 in total

Review 1.  Correlation and simple linear regression.

Authors:  Kelly H Zou; Kemal Tuncali; Stuart G Silverman
Journal:  Radiology       Date:  2003-06       Impact factor: 11.105

2.  Original smooth receiver operating characteristic curve estimation from continuous data: statistical methods for analyzing the predictive value of spiral CT of ureteral stones.

Authors:  K H Zou; C M Tempany; J R Fielding; S G Silverman
Journal:  Acad Radiol       Date:  1998-10       Impact factor: 3.173

3.  Histopathologic correlate of hypointense lesions on T1-weighted spin-echo MRI in multiple sclerosis.

Authors:  M A van Walderveen; W Kamphorst; P Scheltens; J H van Waesberghe; R Ravid; J Valk; C H Polman; F Barkhof
Journal:  Neurology       Date:  1998-05       Impact factor: 9.910

4.  3-D surface reconstruction of multiple sclerosis lesions using spherical harmonics.

Authors:  D Goldberg-Zimring; H Azhari; S Miron; A Achiron
Journal:  Magn Reson Med       Date:  2001-10       Impact factor: 4.668

5.  Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging.

Authors:  A Bharatha; M Hirose; N Hata; S K Warfield; M Ferrant; K H Zou; E Suarez-Santana; J Ruiz-Alzola; A D'Amico; R A Cormack; R Kikinis; F A Jolesz; C M Tempany
Journal:  Med Phys       Date:  2001-12       Impact factor: 4.071

6.  Post-mortem MRI-guided sampling of multiple sclerosis brain lesions: increased yield of active demyelinating and (p)reactive lesions.

Authors:  C J De Groot; E Bergers; W Kamphorst; R Ravid; C H Polman; F Barkhof; P van der Valk
Journal:  Brain       Date:  2001-08       Impact factor: 13.501

7.  Diagnosis and staging of ovarian cancer: comparative values of Doppler and conventional US, CT, and MR imaging correlated with surgery and histopathologic analysis--report of the Radiology Diagnostic Oncology Group.

Authors:  A B Kurtz; J V Tsimikas; C M Tempany; U M Hamper; P H Arger; R L Bree; R J Wechsler; I R Francis; J E Kuhlman; E S Siegelman; D G Mitchell; S G Silverman; D L Brown; S Sheth; B G Coleman; J H Ellis; R J Kurman; D J Caudry; B J McNeil
Journal:  Radiology       Date:  1999-07       Impact factor: 11.105

8.  Prostate cancer: relative effects of demographic, clinical, histologic, and MR imaging variables on the accuracy of staging.

Authors:  D J Getty; S E Seltzer; C M Tempany; R M Pickett; J A Swets; B J McNeil
Journal:  Radiology       Date:  1997-08       Impact factor: 11.105

9.  Magnetic resonance imaging and other techniques in the diagnosis of multiple sclerosis.

Authors:  H S Kirshner; S I Tsai; V M Runge; A C Price
Journal:  Arch Neurol       Date:  1985-09

10.  Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis.

Authors:  W I McDonald; A Compston; G Edan; D Goodkin; H P Hartung; F D Lublin; H F McFarland; D W Paty; C H Polman; S C Reingold; M Sandberg-Wollheim; W Sibley; A Thompson; S van den Noort; B Y Weinshenker; J S Wolinsky
Journal:  Ann Neurol       Date:  2001-07       Impact factor: 10.422

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  3 in total

1.  Classification of normal and diseased liver shapes based on Spherical Harmonics coefficients.

Authors:  Farshid Babapour Mofrad; Reza Aghaeizadeh Zoroofi; Ali Abbaspour Tehrani-Fard; Shahram Akhlaghpoor; Yoshinobu Sato
Journal:  J Med Syst       Date:  2014-04-24       Impact factor: 4.460

2.  Statistical validation of brain tumor shape approximation via spherical harmonics for image-guided neurosurgery.

Authors:  Daniel Goldberg-Zimring; Ion-Florin Talos; Jui G Bhagwat; Steven J Haker; Peter M Black; Kelly H Zou
Journal:  Acad Radiol       Date:  2005-04       Impact factor: 3.173

3.  Multiple sclerosis lesion detection using constrained GMM and curve evolution.

Authors:  Oren Freifeld; Hayit Greenspan; Jacob Goldberger
Journal:  Int J Biomed Imaging       Date:  2009-09-10
  3 in total

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