Archana Vadiraj Malagi1, Virender Kumar2, Kedar Khare3, Chandan J. Das4, and Amit Mehndiratta1,5
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Nuclear Magnetic Resonance (NMR),, All India Institute of Medical Sciences Delhi, New Delhi, India, 3Department of Physics, Indian Institute of Technology Delhi, New Delhi, India, 4Department of Radiodiagnosis, All India Institute of Medical Sciences Delhi, New Delhi, India, 5Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Nuclear Magnetic Resonance (NMR),, All India Institute of Medical Sciences Delhi, New Delhi, India, 3Department of Physics, Indian Institute of Technology Delhi, New Delhi, India, 4Department of Radiodiagnosis, All India Institute of Medical Sciences Delhi, New Delhi, India, 5Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India
IVIM-DKI
model with total variation(TV) penalty function reduced non-physiological
inhomogeneity in IVIM-DKI parameter adaptively to produce better quality
parameter maps. D, f, k can be used discriminate
between PCa and BPH with high diagnostic performance.
Figure2 For BPH (yellow), the hyperintense region was observed
on (b) ADC, (c) D, and (e) f; whereas hypointense region was observed on, (a)
High b-value map, (d) D*, and (f) k of a representative patient diagnosed with
PCa and BPH.
Figure4
Diagnostic performance of IVIM-DKI parameters obtained from HY and HY+TV model
to differentiate from (a) Tumor vs BPH and (b) Tumor vs Healthy PZ.
