Radiological Qualitative Assessment of IVIM Parameters for Total Variation Penalty Function Approach: A Pilot Study in Osteosarcoma
Amit Mehndiratta1, Esha Badiya Kayal1, Kedar Khare 2, Sameer Bakhshi3, Raju Sharma4, and Devasenathipathy Kandasamy4
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Physics, Indian Institute of Technology Delhi, New Delhi, India, 3Dr. BRA Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India, 4Department of RadioDiagnosis, All India Institute of Medical Sciences, New Delhi, India
IVIM imaging is not in clinical use for many years as
the parameter estimation has been noisy and had poor diagnostic accuracy. Regularization
based IVIM methods has been developed and radiologist rating is evaluated for
clinical interpretation and diagnostic accuracy in osteosarcoma.
Figure 1:
Percentage of frequency of qualitative scores in
5-point scale (Excellent:5; Good:4; Fair:3; Poor:2 and Uninterpretable:1) for
four criteria for qualitative evaluation of IVIM parametric maps evaluated by
five IVIM analysis methodologies a) BE, b) BEseg-2, c)BEseg-1, d)BE+TV
and e) BE+HPF.
Table 1: Qualitative scores of IVIM parametric maps evaluated by five IVIM
analysis methodologies and Friedman test statistics for statistical
significance (p<0.05). Scores
are in mean± standard deviation.