Rapid progress of ChatGPT (GPT-4) image analysis - potential Slicer extension?

Today the image analysis feature reaches Switzerland and gives some amazin results. Just beginning testing.

Me: What scope of diagnosis is possible here?


This is a magnetic resonance imaging (MRI) scan of the brain, specifically using a 3D FLAIR (Fluid Attenuated Inversion Recovery) sequence. FLAIR is a specific type of MRI sequence that is useful for detecting changes in the brain, especially abnormalities related to water or fluid.

The provided image shows an axial (cross-sectional) view of the brain. The white matter, gray matter, ventricles, and other anatomical structures are visible.

FLAIR sequences are particularly sensitive to:

  1. Demyelinating diseases: Like multiple sclerosis, where patches or lesions in the white matter can be seen as hyperintense (bright) areas.
  2. Stroke: Especially ischemic strokes where the affected brain tissue may appear hyperintense.
  3. Tumors: Some brain tumors or their associated edema may appear hyperintense.
  4. Infections: Such as encephalitis or meningitis, where areas of inflammation can be seen.
  5. Chronic subdural hematomas: These may appear hyperintense on FLAIR images.

From the image you provided, it’s essential to carefully evaluate any areas of altered signal intensity that deviate from the expected appearance of normal brain tissue. Please note that accurately diagnosing a pathology based on a single MRI image slice without clinical context is challenging. Ideally, the entire MRI sequence, along with other sequences, patient history, and clinical presentation, should be considered for a comprehensive diagnosis.

If you suspect a particular diagnosis or have concerns about specific findings in the image, it would be best to consult directly with a radiologist or neurologist for a detailed evaluation.

Me: Could it be Creutzfeldt-Jakob Disease?


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Creutzfeldt-Jakob Disease (CJD) is a rare, degenerative, and fatal brain disorder. It’s characterized by rapidly progressive dementia, along with neurological symptoms like muscle stiffness, twitching, and weakness.

In terms of MRI findings, CJD can have characteristic appearances, particularly on DWI (diffusion-weighted imaging) and FLAIR sequences:

  1. Hyperintense signal on DWI and FLAIR in the cerebral cortex, especially in the basal ganglia and thalamus. This is often described as “ribbon-like” or “cortical ribboning.”
  2. The putamen and caudate nucleus can also show increased signal intensity on these sequences.
  3. The changes in the brain in CJD can be asymmetrical, affecting one side more than the other.

The image you’ve provided is a single slice from a FLAIR sequence. While FLAIR can show abnormalities related to CJD, a comprehensive assessment would typically involve evaluating multiple MRI sequences, especially DWI.

However, it’s crucial to understand that while MRI findings can be suggestive of CJD, the diagnosis usually involves a combination of clinical assessment, EEG findings, cerebrospinal fluid analysis, and, in some cases, brain biopsy.

If CJD or another specific diagnosis is suspected, it’s vital to consult with a neurologist and a neuroradiologist for a comprehensive evaluation.

That’s really fascinating Rudolf. Yes, an extension is very feasible.

Can it handle more than one image? We typically do have all the MRI contrasts for a patient study (T1, T1+contrast, T2, FLAIR, DWI, etc) and could post them all.

@rbumm maybe you are interested in this new bioimage.io chatbot:

It could be interesting to add Slicer source code, documentation, forum contents to its data sources.


Hi, how i can analysis mri data with chatgpt in slicer?

You can upload single slices of an MRI and ask ChatGPT4 questions about it.

Please be aware that you upload these data to OpenAI servers and respect the patient’s privacy or use open-access data.

Well this is what I got :slight_smile:

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Copilot seems to be the solution :slight_smile:

I have a patient who suffered from severe heart failure due to the doctor’s procrastination and we still do not have a definitive diagnosis. Is there a way to detect inflammation in the Slicer program?