Bhushan S. Borotikar

Dr. Bhushan S. Borotikar

(1) Symbiosis Centre for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Lavale, Pune, India
+1

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2008 in Clinical Biomechanics
Verified
Journal Article
Closed access
BBBhushan S. Borotikar
Bhushan S. Borotikar
RNRhonda Newcomer
Rhonda Newcomer
RKRyan Koppes
Ryan Koppes
SMScott G. McLean
Scott G. McLean

29 November 2018 in PLOS ONE
Verified
Journal Article
Open access
PDF file
CPChristelle Pons
Christelle Pons
BBBhushan S. Borotikar
Bhushan S. Borotikar
MGMarc Garetier
Marc Garetier
VBValérie Burdin
Valérie Burdin
DOURAIED BEN SALEMDOURAIED BEN SALEM
DOURAIED BEN SALEM
SBSylvain Brochard
Sylvain Brochard
The aim of this study was to report the metrological qualities of techniques currently used to quantify skeletal muscle volume and 3D shape in healthy and pathological muscles. A systematic review was conducted (Prospero CRD42018082708). PubMed, Web of Science, Cochrane and Scopus databases were searched using relevant keywords and inclusion/exclusion criteria. The quality of the articles was evaluated using a customized scale. Thirty articles were included, 6 of which included pathological muscles. Most evaluated lower limb muscles. Partially or completely automatic and manual techniques were assessed in 10 and 24 articles, respectively. Manual slice-by-slice segmentation reliability was good-to-excellent (n = 8 articles) and validity against dissection was moderate to good(n = 1). Manual slice-by-slice segmentation was used as a gold-standard method in the other articles. Reduction of the number of manually segmented slices (n = 6) provided good to excellent validity if a sufficient number of appropriate slices was chosen. Segmentation on one slice (n = 11) increased volume errors. The Deformation of a Parametric Specific Object (DPSO) method (n = 5) decreased the number of manually-segmented slices required for any chosen level of error. Other automatic techniques combined with different statistical shape or atlas/images-based methods (n = 4) had good validity. Some particularities were highlighted for specific muscles. Except for manual slice by slice segmentation, reliability has rarely been reported. The results of this systematic review help the choice of appropriate segmentation techniques, according to the purpose of the measurement. In healthy populations, techniques that greatly simplified the process of manual segmentation yielded greater errors in volume and shape estimations. Reduction of the number of manually segmented slices was possible with appropriately chosen segmented slices or with DPSO. Other automatic techniques showed promise, but data were insufficient for their validation. More data on the metrological quality of techniques used in the cases of muscle pathology are required.

1 July 2010 in Clinical Biomechanics
Verified
Journal Article
Closed access
SMScott G. McLean
Scott G. McLean
BBBhushan S. Borotikar
Bhushan S. Borotikar
SLSarah M. Lucey
Sarah M. Lucey

1 January 2005 in Journal of Oral and Maxillofacial Surgery
Verified
Journal Article
Closed access
CCCheng-Jen Chuong
Cheng-Jen Chuong
BBBhushan S. Borotikar
Bhushan S. Borotikar
CSCarina Schwartz-Dabney
Carina Schwartz-Dabney
DSDouglas P. Sinn
Douglas P. Sinn

1 July 2012 in Clinical Biomechanics
Verified
Journal Article
Closed access
FSFrances T. Sheehan
Frances T. Sheehan
BBBhushan S. Borotikar
Bhushan S. Borotikar
ABAbrahm J. Behnam
Abrahm J. Behnam
KAKatharine E. Alter
Katharine E. Alter

11 September 2019 in Annals of Biomedical Engineering
Verified
Journal Article
Closed access
PDF file
ASAsma Salhi
Asma Salhi
VBValerie Burdin
Valerie Burdin
ABArnaud Boutillon
Arnaud Boutillon
SBSylvain Brochard
Sylvain Brochard
TMTinashe Mutsvangwa
Tinashe Mutsvangwa
BBBhushan S. Borotikar
Bhushan S. Borotikar