Technical Note: Fiducial markers for correlation of whole‐specimen histopathology with MR imaging at 7 tesla
Bibliographic record
Abstract
PURPOSE: There is increasing interest in the registration of 3-D histopathology with 3-D in vivo imaging, for example, to validate tumor boundary delineation for targeted radiation cancer therapy. However, accurate correlation is compromised by tissue distortion induced by histopathological processing. Reference landmarks that are visible in both data sets are required. In this study, two iridescent acrylic paints, "Bronze" (containing iron oxide coated mica particles) and "Stainless Steel" (containing iron, chromium, and nickel), were evaluated for creating MRI-visible and histology-visible fiducial markers at 7 T, where resolution is more similar to histology, but artifacts are accentuated. Furthermore, a straight-line paint-track fiducial method was developed to assist in registration and 3-D histopathology reconstruction. METHODS: First, the paints were injected into ex vivo porcine tissue samples, which were MR imaged prefixation and postfixation, and subsequently prepared for hematoxylin and eosin staining to verify stability through histopathological processing. Second, the severity of marker susceptibility artifacts produced was compared while using spin-echo and gradient-echo MRI pulse sequences. Finally, multiple paint tracks were injected prefixation through an ex vivo canine prostate sample to validate the potential for line-based registration between MR images of prefixation and postfixation tissue and whole mount histology slides. RESULTS: The Stainless Steel paint produced excessive susceptibility artifacts and image distortion, while the Bronze paint created stable and appropriate markers in MRI and histology. The Bronze paint produced artifacts approximately three times larger in gradient-echo than in spin-echo MR images. Finally, the paint-track fiducials were visible in the prefixation and postfixation MRI and on whole mount histology. CONCLUSIONS: The Bronze iridescent acrylic paint is appropriate for fiducial marker creation in MRI at 7 T. The straight-line paint-track fiducials may assist 3-D histopathology reconstruction and can provide important information on the deformation effects of fixation, and hence may improve registration accuracy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.011 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".