To Whom It May Concern,
I am experiencing a critical technical issue with my CT scan data that is preventing me from proceeding with my thesis analysis.
The primary problem is that the Signal-to-Noise Ratio (SNR) is so low that I cannot perform a reliable thresholding/segmentation process. The bone tissue is indistinguishable from the background noise and artifacts.
Key issues I am facing:
- Threshold Inconsistency: It is impossible to select a Hounsfield Unit (HU) or grayscale range that captures the bone structure without including massive amounts of noise.
- Loss of Connectivity: When I attempt to isolate the bone, the structural integrity breaks down, resulting in a “fragmented” or “moth-eaten” appearance that does not reflect the actual anatomy.
- Boundary Blur: The interface between the cortical bone and surrounding tissue is too blurred for manual or automatic segmentation tools to function correctly.
Since this data is vital for my thesis and I am working against a strict deadline, I urgently need your guidance on: - Which reconstruction filters or denoising algorithms should be applied to the raw data to clean up this noise?
- Are there specific artifact reduction settings you recommend to stabilize the image for thresholding?
I have attached a representative slice and dicom showing the severity of the noise. I look forward to your immediate technical feedback.
Best regards,
