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Duke MMIL designs novel SPECT/CT system for 3D breast imaging

Jul 17, 2007
2007 07 17 14 38 39 706
2007 07 17 14 38 39 706
Image courtesy of Duke University Medical Center Multi-Modality Imaging Lab.

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Adversarial decomposition learning (ADL) enables intuitive, longitudinal visualization of disease progression and treatment response, supporting clinician–artificial intelligence collaboration. (A) Images in a 48-year-old female patient who presented with mild cognitive impairment. The ADL probability maps highlighted occipital-temporal amyloid β (Aβ) spread and focal left-temporal tau pathologic abnormalities. An area of increased occipital AV45 uptake is shown (arrowhead). (B) Images in a 51-year-old male who presented with memory decline. For each image grid, the left side is the decoupler-output AD pathologic probability map, the upper right side is the original Aβ/tau PET image, and the lower right side is the image after AD component removal by the decoupler.
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Adversarial decomposition learning (ADL) enables intuitive, longitudinal visualization of disease progression and treatment response, supporting clinician–artificial intelligence collaboration. (A) Images in a 48-year-old female patient who presented with mild cognitive impairment. The ADL probability maps highlighted occipital-temporal amyloid β (Aβ) spread and focal left-temporal tau pathologic abnormalities. An area of increased occipital AV45 uptake is shown (arrowhead). (B) Images in a 51-year-old male who presented with memory decline. For each image grid, the left side is the decoupler-output AD pathologic probability map, the upper right side is the original Aβ/tau PET image, and the lower right side is the image after AD component removal by the decoupler.
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