Robust Alignment of Prostate Histology Slices With Quantified Accuracy

No current imaging technique is capable of detecting with precision tumors in the prostate. To evaluate each technique, the histology data must be precisely mapped to the imaged data. As the histology slices cannot be assumed to be cut along the same plane as the imaged data were acquired, the regis...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2013-02, Vol.60 (2), p.281-291
Main Authors: Hughes, Cecilia, Rouvière, Olivier, Mege-Lechevallier, Florence, Souchon, Rémi, Prost, Rémy
Format: Article
Language:English
Subjects:
3-D reconstruction
Accuracy
Algorithms
Alignment
Animals
Cattle
Computer Simulation
Engineering Sciences
Fiducial Markers
Histocytochemistry - methods
histology
Humans
Imaging
Imaging, Three-Dimensional - methods
Male
Models, Biological
Needles
Prostate - chemistry
Prostate - pathology
prostate cancer
Prostatic Neoplasms - chemistry
Prostatic Neoplasms - pathology
registration
Routing protocols
Signal and Image processing
Tumors
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Summary:No current imaging technique is capable of detecting with precision tumors in the prostate. To evaluate each technique, the histology data must be precisely mapped to the imaged data. As the histology slices cannot be assumed to be cut along the same plane as the imaged data were acquired, the registration must be considered as a 3-D problem. This requires the prior alignment of the histology slices. We propose a protocol in which three needles are inserted into the fresh prostate, creating internal fiducial markers visible in the histology slices. Our algorithm then automatically detects and identifies these markers, enabling the automatic rigid alignment of each slice. The accuracy of the algorithm was quantified in simulated images, a beef liver sample in which a validation marker had been created, and ten prostate specimens. The simulated images showed that the algorithm has no associated residual error for a situation where there is no deformation. In the beef liver images, the average accuracy of the alignment was 0.12 ± 0.09 mm at the fiducial markers, and 0.62 ± 0.46 mm at a validation marker positioned approximately 20 mm from the fiducial markers. Concerning the ten prostates, there were 19.2 histology slices on average per specimen. On average, 93.7% of the fiducial markers created were visible in the slices, of which 96.1% were then automatically and correctly detected and identified, enabling an alignment of average accuracy 0.18 ± 0.13 mm at the fiducial markers. As a cancer of volume
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2012.2225835