Abstract

BackgroundAccurate alignment between histopathology slices and positron emission tomography (PET) images is important for radiopharmaceutical validation studies. Limited data is available on the registration accuracy that can be achieved between PET and histopathology slices acquired under routine pathology conditions where slices may be non-parallel, non-contiguously cut and of standard block size. The purpose of this study was to demonstrate a method for aligning PET images and histopathology slices acquired from patients with laryngeal cancer and to assess the registration accuracy obtained under these conditions.MethodsSix subjects with laryngeal cancer underwent a 64Cu-copper-II-diacetyl-bis(N4-methylthiosemicarbazone) (64Cu-ATSM) PET computed tomography (CT) scan prior to total laryngectomy. Sea urchin spines were inserted into the pathology specimen to act as fiducial markers. The specimen was fixed in formalin, as per standard histopathology operating procedures, and was then CT scanned and cut into millimetre-thick tissue slices. A subset of the tissue slices that included both tumour and fiducial markers was taken and embedded in paraffin blocks. Subsequently, microtome sectioning and haematoxylin and eosin staining were performed to produce 5-μm-thick tissue sections for microscopic digitisation. A series of rigid registration procedures was performed between the different imaging modalities (PET; in vivo CT—i.e. the CT component of the PET-CT; ex vivo CT; histology slices) with the ex vivo CT serving as the reference image. In vivo and ex vivo CTs were registered using landmark-based registration. Histopathology and ex vivo CT images were aligned using the sea urchin spines with additional anatomical landmarks where available. Registration errors were estimated using a leave-one-out strategy for in vivo to ex vivo CT and were estimated from the RMS landmark accuracy for histopathology to ex vivo CT.ResultsThe mean ± SD accuracy for registration of the in vivo to ex vivo CT images was 2.66 ± 0.66 mm, and the accuracy for registration of histopathology to ex vivo CT was 0.86 ± 0.41 mm. Estimating the PET to in vivo CT registration accuracy to equal the PET-CT alignment accuracy of 1 mm resulted in an overall average registration error between PET and histopathology slices of 3.0 ± 0.7 mm.ConclusionsWe have developed a registration method to align PET images and histopathology slices with an accuracy comparable to the spatial resolution of the PET images.

Highlights

  • Accurate alignment between histopathology slices and positron emission tomography (PET) images is important for radiopharmaceutical validation studies

  • The post processing for such an approach includes (a) registration of individual histopathology slices to block-face images to correct for the shrinkage incurred during histopathology procedures [4], (b) registration of shrinkage-corrected histopathology slices to each other to reconstruct a 3D volume [5, 6] and (c) registration of the histopathology volume to the in vivo imaging data (i.e. in vivo PET/computed tomography (CT)/MR) using intensity-based or other algorithms directly [2]

  • PET to in vivo CT co-registration All of the PET-CT data sets obtained from the scanner appeared well aligned and could not be corrected any further with registration (Fig. 7)

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Summary

Introduction

Accurate alignment between histopathology slices and positron emission tomography (PET) images is important for radiopharmaceutical validation studies. The purpose of this study was to demonstrate a method for aligning PET images and histopathology slices acquired from patients with laryngeal cancer and to assess the registration accuracy obtained under these conditions. The post processing for such an approach includes (a) registration of individual histopathology slices to block-face images (photographic images of the specimen taken before and after cutting) to correct for the shrinkage incurred during histopathology procedures [4], (b) registration of shrinkage-corrected histopathology slices to each other to reconstruct a 3D volume [5, 6] and (c) registration of the histopathology volume to the in vivo imaging data (i.e. in vivo PET/computed tomography (CT)/MR) using intensity-based or other algorithms directly [2].

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