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A method for accurate spatial registration of PET images and histopathology slices

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A method for accurate spatial registration of PET images and histopathology slices. / Puri, Tanuj; Chalkidou, Anastasia; Henley-Smith, Rhonda; Roy, Arunabha; Barber, Paul R; Guerrero-Urbano, Teresa; Oakley, Richard; Simo, Ricard; Jeannon, Jean-Pierre; McGurk, Mark; Odell, Edward W; O'Doherty, Michael J; Marsden, Paul K.

In: EJNMMI Research, Vol. 5, No. 1, 14.11.2015, p. 64.

Research output: Contribution to journalArticle

Harvard

Puri, T, Chalkidou, A, Henley-Smith, R, Roy, A, Barber, PR, Guerrero-Urbano, T, Oakley, R, Simo, R, Jeannon, J-P, McGurk, M, Odell, EW, O'Doherty, MJ & Marsden, PK 2015, 'A method for accurate spatial registration of PET images and histopathology slices', EJNMMI Research, vol. 5, no. 1, pp. 64. https://doi.org/10.1186/s13550-015-0138-7

APA

Puri, T., Chalkidou, A., Henley-Smith, R., Roy, A., Barber, P. R., Guerrero-Urbano, T., ... Marsden, P. K. (2015). A method for accurate spatial registration of PET images and histopathology slices. EJNMMI Research, 5(1), 64. https://doi.org/10.1186/s13550-015-0138-7

Vancouver

Puri T, Chalkidou A, Henley-Smith R, Roy A, Barber PR, Guerrero-Urbano T et al. A method for accurate spatial registration of PET images and histopathology slices. EJNMMI Research. 2015 Nov 14;5(1):64. https://doi.org/10.1186/s13550-015-0138-7

Author

Puri, Tanuj ; Chalkidou, Anastasia ; Henley-Smith, Rhonda ; Roy, Arunabha ; Barber, Paul R ; Guerrero-Urbano, Teresa ; Oakley, Richard ; Simo, Ricard ; Jeannon, Jean-Pierre ; McGurk, Mark ; Odell, Edward W ; O'Doherty, Michael J ; Marsden, Paul K. / A method for accurate spatial registration of PET images and histopathology slices. In: EJNMMI Research. 2015 ; Vol. 5, No. 1. pp. 64.

Bibtex Download

@article{3b2300d382b741d5b37e1a1062c8d809,
title = "A method for accurate spatial registration of PET images and histopathology slices",
abstract = "BACKGROUND: Accurate 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.METHODS: Six subjects with laryngeal cancer underwent a (64)Cu-copper-II-diacetyl-bis(N4-methylthiosemicarbazone) ((64)Cu-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.RESULTS: The 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.CONCLUSIONS: We have developed a registration method to align PET images and histopathology slices with an accuracy comparable to the spatial resolution of the PET images.",
author = "Tanuj Puri and Anastasia Chalkidou and Rhonda Henley-Smith and Arunabha Roy and Barber, {Paul R} and Teresa Guerrero-Urbano and Richard Oakley and Ricard Simo and Jean-Pierre Jeannon and Mark McGurk and Odell, {Edward W} and O'Doherty, {Michael J} and Marsden, {Paul K}",
year = "2015",
month = "11",
day = "14",
doi = "10.1186/s13550-015-0138-7",
language = "English",
volume = "5",
pages = "64",
journal = "EJNMMI Research",
issn = "2191-219X",
number = "1",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - A method for accurate spatial registration of PET images and histopathology slices

AU - Puri, Tanuj

AU - Chalkidou, Anastasia

AU - Henley-Smith, Rhonda

AU - Roy, Arunabha

AU - Barber, Paul R

AU - Guerrero-Urbano, Teresa

AU - Oakley, Richard

AU - Simo, Ricard

AU - Jeannon, Jean-Pierre

AU - McGurk, Mark

AU - Odell, Edward W

AU - O'Doherty, Michael J

AU - Marsden, Paul K

PY - 2015/11/14

Y1 - 2015/11/14

N2 - BACKGROUND: Accurate 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.METHODS: Six subjects with laryngeal cancer underwent a (64)Cu-copper-II-diacetyl-bis(N4-methylthiosemicarbazone) ((64)Cu-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.RESULTS: The 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.CONCLUSIONS: We have developed a registration method to align PET images and histopathology slices with an accuracy comparable to the spatial resolution of the PET images.

AB - BACKGROUND: Accurate 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.METHODS: Six subjects with laryngeal cancer underwent a (64)Cu-copper-II-diacetyl-bis(N4-methylthiosemicarbazone) ((64)Cu-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.RESULTS: The 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.CONCLUSIONS: We have developed a registration method to align PET images and histopathology slices with an accuracy comparable to the spatial resolution of the PET images.

U2 - 10.1186/s13550-015-0138-7

DO - 10.1186/s13550-015-0138-7

M3 - Article

C2 - 26576995

VL - 5

SP - 64

JO - EJNMMI Research

JF - EJNMMI Research

SN - 2191-219X

IS - 1

ER -

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