Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study

Farhad Imani; Sahar Ghavidel; Purang Abolmaesumi; Siavash Khallaghi; Eli Gibson; Amir Khojaste; Mena Gaed; Madeleine Moussa; Jose A. Gomez; Cesare Romagnoli; Derek W. Cool; Matthew Bastian-Jordan; Zahra Kassam; D. Robert Siemens; Michael Leveridge; Silvia Chang; Aaron Fenster; Aaron D. Ward; Parvin Mousavi

doi:10.1117/12.2217205

24 March 2016 Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study

Farhad Imani, Sahar Ghavidel, Purang Abolmaesumi, Siavash Khallaghi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Cesare Romagnoli, Derek W. Cool, Matthew Bastian-Jordan, Zahra Kassam, D. Robert Siemens, Michael Leveridge, Silvia Chang, Aaron Fenster, Aaron D. Ward, Parvin Mousavi

Author Affiliations +

Proceedings Volume 9785, Medical Imaging 2016: Computer-Aided Diagnosis; 97851K (2016) https://doi.org/10.1117/12.2217205
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Recently, multi-parametric Magnetic Resonance Imaging (mp-MRI) has been used to improve the sensitivity of detecting high-risk prostate cancer (PCa). Prior to biopsy, primary and secondary cancer lesions are identified on mp-MRI. The lesions are then targeted using TRUS guidance. In this paper, for the first time, we present a fused mp-MRI-temporal-ultrasound framework for characterization of PCa, in vivo. Cancer classification results obtained using temporal ultrasound are fused with those achieved using consolidated mp-MRI maps determined by multiple observers. We verify the outcome of our study using histopathology following deformable registration of ultrasound and histology images. Fusion of temporal ultrasound and mp-MRI for characterization of the PCa results in an area under the receiver operating characteristic curve (AUC) of 0.86 for cancerous regions with Gleason scores (GSs)≥3+3, and AUC of 0.89 for those with GSs≥3+4.

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Farhad Imani, Sahar Ghavidel, Purang Abolmaesumi, Siavash Khallaghi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose A. Gomez, Cesare Romagnoli, Derek W. Cool, Matthew Bastian-Jordan, Zahra Kassam, D. Robert Siemens, Michael Leveridge, Silvia Chang, Aaron Fenster, Aaron D. Ward, and Parvin Mousavi "Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study", Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 97851K (24 March 2016); https://doi.org/10.1117/12.2217205

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