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.

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Publication Details

Journal
Sensors
Published
2025-09-19
DOI
https://doi.org/10.3390/s25185858
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
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article

Cross-Scanner Harmonization of AI/DL Accelerated Quantitative Bi-Parametric Prostate MRI

Suzan Lowe, Thomas L. Chenevert, Jacob Richardson, Reve Chahine et al.
Sensors
Prostate Cancer Diagnosis and Treatment
article

Cross-Scanner Harmonization of AI/DL Accelerated Quantitative Bi-Parametric Prostate MRI

Suzan Lowe, Thomas L. Chenevert, Jacob Richardson, Reve Chahine, Dariya Malyarenko, Shane A. Wells, Yun Jiang, Scott D. Swanson, James E. O’Connor
article en

Abstract

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.

SensorsVol. 25(18)
University of Michigan (US), Michigan Medicine (US)
Openalex Percentile: Top 63%
Prostate Cancer Diagnosis and Treatment
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