Literature DB >> 33469726

3D-Volume Rendering of the Pelvis with Emphasis on Paraurethral Structures Based on MRI Scans and Comparisons between 3D Slicer and OsiriX®.

C M Durnea1,2, S Siddiqi3,4,5, D Nazarian3, G Munneke3, P M Sedgwick3, S K Doumouchtsis6,7,8,9.   

Abstract

The feasibility of rendering three dimensional (3D) pelvic models of vaginal, urethral and paraurethral lesions from 2D MRI has been demonstrated previously. To quantitatively compare 3D models using two different image processing applications: 3D Slicer and OsiriX. Secondary analysis and processing of five MRI scan based image sets from female patients aged 29-43 years old with vaginal or paraurethral lesions. Cross sectional image sets were used to create 3D models of the pelvic structures with 3D Slicer and OsiriX image processing applications. The linear dimensions of the models created using the two different methods were compared using Bland-Altman plots. The comparisons demonstrated good agreement between measurements from the two applications. The two data sets obtained from different image processing methods demonstrated good agreement. Both 3D Slicer and OsiriX can be used interchangeably and produce almost similar results. The clinical role of this investigation modality remains to be further evaluated.

Entities:  

Keywords:  3D slicer; 3D volume rendering; Bladder; MRI; OsiriX; Paraurethral structures

Mesh:

Year:  2021        PMID: 33469726      PMCID: PMC7815623          DOI: 10.1007/s10916-020-01695-3

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  12 in total

1.  MR imaging and US of female urethral and periurethral disease.

Authors:  Vinika V Chaudhari; Maitraya K Patel; Michael Douek; Steven S Raman
Journal:  Radiographics       Date:  2010-11       Impact factor: 5.333

2.  Three-dimensional volume rendering of pelvic models and paraurethral masses based on MRI cross-sectional images.

Authors:  Stergios K Doumouchtsis; Daron A Nazarian; Nivedita Gauthaman; Constantin M Durnea; Graham Munneke
Journal:  Int Urogynecol J       Date:  2017-03-28       Impact factor: 2.894

3.  Limits of agreement (Bland-Altman method).

Authors:  Philip Sedgwick
Journal:  BMJ       Date:  2013-03-15

Review 4.  Pelvic floor disorders: what's the best test?

Authors:  Ana Catarina A Silva; Dean D T Maglinte
Journal:  Abdom Imaging       Date:  2013-12

5.  The demographics of pelvic floor disorders: current observations and future projections.

Authors:  K M Luber; S Boero; J Y Choe
Journal:  Am J Obstet Gynecol       Date:  2001-06       Impact factor: 8.661

6.  See it in 3D!: researchers examined structural links between the cardinal and uterosacral ligaments.

Authors:  Rajeev Ramanah; Mitchell B Berger; Luyun Chen; Didier Riethmuller; John O L Delancey
Journal:  Am J Obstet Gynecol       Date:  2012-09-07       Impact factor: 8.661

Review 7.  OsiriX: an open-source software for navigating in multidimensional DICOM images.

Authors:  Antoine Rosset; Luca Spadola; Osman Ratib
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

8.  Three-dimensional magnetic resonance imaging assessment of levator ani morphologic features in different grades of prolapse.

Authors:  Kavita Singh; Marianna Jakab; Wendy M N Reid; Leslie A Berger; Lennox Hoyte
Journal:  Am J Obstet Gynecol       Date:  2003-04       Impact factor: 8.661

9.  General consumer communication tools for improved image management and communication in medicine.

Authors:  Chantal Rosset; Antoine Rosset; Osman Ratib
Journal:  J Digit Imaging       Date:  2005-12       Impact factor: 4.056

Review 10.  Role of static and dynamic MR imaging in surgical pelvic floor dysfunction.

Authors:  Lousine Boyadzhyan; Steven S Raman; Shlomo Raz
Journal:  Radiographics       Date:  2008 Jul-Aug       Impact factor: 5.333

View more
  2 in total

1.  Associations of osteoclastogenesis and nerve growth in subchondral bone marrow lesions with clinical symptoms in knee osteoarthritis.

Authors:  Feng Zhou; Xuequan Han; Liao Wang; Weituo Zhang; Junqi Cui; Zihao He; Kai Xie; Xu Jiang; Jingke Du; Songtao Ai; Qi Sun; Haishan Wu; Zhifeng Yu; Mengning Yan
Journal:  J Orthop Translat       Date:  2021-12-01       Impact factor: 5.191

Review 2.  Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential.

Authors:  Xingping Zhang; Yanchun Zhang; Guijuan Zhang; Xingting Qiu; Wenjun Tan; Xiaoxia Yin; Liefa Liao
Journal:  Front Oncol       Date:  2022-02-17       Impact factor: 6.244

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.