Cross-Scanner Harmonization of AI/DL Accelerated Quantitative Bi-Parametric Prostate MRI
Clinical application of AI/DL-aided acquisitions for quantitative bi-parametric (q-bp)MRI requires validation and harmonization across vendor platforms. An AI/DL-accelerated q-bpMRI, including 5-echo T<sub>2</sub> and 4-b-value apparent diffusion coefficient (ADC) mapping, was implemented on two 3T clinical scanners by two vendors alongside the qualitative standard-of-care (SOC) MRI protocols for six patients with biopsy-confirmed prostate cancer (PCa). AI/DL versus SOC bpMRI image quality was compared for MR-visible PCa lesions on a 4-point Likert-like scale. Quantitative validation and protocol bias assessment were performed using a multiparametric phantom with reference T<sub>2</sub> and diffusion kurtosis values mimicking prostate tissue ranges. Six-minute q-bpMRI achieved acceptable diagnostic quality comparable to the SOC. Better SNR was observed for DL/AI versus SOC ADC with method-dependent distortion susceptibility and resolution enhancement. The measured biases were unaffected by AI/DL reconstruction and related to acquisition protocol parameters: constant for spin-echo T<sub>2</sub> (-7 ms to +5 ms) and ADC (4b-fit: -0.37 µm<sup>2</sup>/ms and 2b-fit: -0.19 µm<sup>2</sup>/ms), while nonlinear for echo-planar T<sub>2</sub> (-37 ms to +14 ms). Measured phantom ADC bias dependence on b-value range was consistent with that observed for PCa lesions. Bias correction harmonized lesion T<sub>2</sub> and ADC values across different AI/DL-aided q-bpMRI acquisitions. The developed workflow enables harmonization of AI/DL-accelerated quantitative T<sub>2</sub> and ADC mapping in multi-vendor clinical settings.
Authors
- Suzan Lowe
- Thomas L. Chenevert (ORCID: https://orcid.org/0000-0003-1476-4274)
- Jacob Richardson (ORCID: https://orcid.org/0000-0001-8138-7582)
- Reve Chahine
- Dariya Malyarenko (ORCID: https://orcid.org/0000-0003-0403-1501)
- Shane A. Wells (ORCID: https://orcid.org/0000-0002-1067-6624)
- Yun Jiang (ORCID: https://orcid.org/0000-0002-0713-9641)
- Scott D. Swanson (ORCID: https://orcid.org/0000-0002-4714-4031)
- James E. O’Connor
Institutions
- University of Michigan (US)
- Michigan Medicine (US)
Publication Details
- Journal
- Sensors
- Published
- 2025-09-19
- DOI
- https://doi.org/10.3390/s25185858
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00