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New research · Oncology
Physical and engineering sciences in medicine · 1w
StudyPhysical and engineering sciences in medicine · 2026

Expanded methods for geometric location of 2D bone histology co-registration in 3D radiology volumes.

Jaime Uy De Baron, Robert Phillips, Anthony Butler
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OncologyStudy

A new computational method placed bone histology slides within radiology scans with 0.02 mm mean error

Expanded methods for geometric location of 2D bone histology co-registration in 3D radiology volumes.

Jaime Uy De Baron … Anthony Butler
Physical and engineering sciences in medicine · 2026
Background

Bone sarcoma treatment employs wide surgical margins to ensure complete tumour excision, sometimes at the expense of patient quality of life.

Purpose

This study assesses two novel computational methods (M2, M3) to support the co-registration of 2D histologic images within 3D radiological volumes.

Results

Average distance error of 0.02 mm between computed and physically measured locations

M1
0.12mm
M2
0.06mm
M3
0.02mm
More results

Replicated evaluation of an established method (M1) is also performed with new data.

M2 suits concave bisected sections by assuming a different orientation during tissue bandsaw than M1.

More results

Three computed distances across 38 canine specimen dissections from each method were compared with three corresponding physical measurements collected during laboratory processing.

Mean errors for each method were of similar magnitude to 3D registration error reported in histology co-registration frameworks for other tissues.

“
Conclusion

This study supports a simple low cost opportunity for use of digital histology images to support bone sarcoma radiology interpretation and treatment planning.

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