First human imaging with MARS photon-counting CT

Raj Kumar Panta; Anthony P.H. Butler; Philip H. Butler; Niels J.A. De Ruiter; Stephen T. Bell; Michael F. Walsh; Robert M.N. Doesburg; Alexander I. Chernoglazov; Brian P. Goulter; Pierre Carbonez; Jerome Damet; Sikiru A. Adebileje; Steven D. Alexander; Maya R. Amma; Marzieh Anjomrouz; Fatemeh Asghariomabad; Ali Atharifard; Kenzie Baer; Benjamin Bamford; Srinidhi Bheesette; Claire Chambers; Shishir Dahal; Tara Dalefield; Neryda Duncan; Steven P. Gieseg; Sam Gurney; Joseph L. Healy; Peter J. Hilton; Preveenkumar Kanithi; Tracy Kirkbride; Stuart P. Lansley; Chiara Lowe; V. B.H. Mandalika; Emmanuel Marfo; Aysouda Matanaghi; Mahdieh Moghiseh; David Palmer; Hannah M. Prebble; Aamir Y. Raja; Mohsen Ramyar; Peter Renaud; Nanette Schleich; Emily Searle; Muhammad Shamshad; Jereena S. Sheeja; Rayhan Uddin; Lieza Vanden Broeke; V. S. Vivek; E. Peter Walker; Manoj Wijesooriya; Tim B.F. Woodfield

doi:10.1109/NSSMIC.2018.8824513

First human imaging with MARS photon-counting CT

Raj Kumar Panta, Anthony P.H. Butler, Philip H. Butler, Niels J.A. De Ruiter, Stephen T. Bell, Michael F. Walsh, Robert M.N. Doesburg, Alexander I. Chernoglazov, Brian P. Goulter, Pierre Carbonez, Jerome Damet, Sikiru A. Adebileje, Steven D. Alexander, Maya R. Amma, Marzieh Anjomrouz, Fatemeh Asghariomabad, Ali Atharifard, Kenzie Baer, Benjamin Bamford, Srinidhi BheesetteClaire Chambers, Shishir Dahal, Tara Dalefield, Neryda Duncan, Steven P. Gieseg, Sam Gurney, Joseph L. Healy, Peter J. Hilton, Preveenkumar Kanithi, Tracy Kirkbride, Stuart P. Lansley, Chiara Lowe, V. B.H. Mandalika, Emmanuel Marfo, Aysouda Matanaghi, Mahdieh Moghiseh, David Palmer, Hannah M. Prebble, Aamir Y. Raja, Mohsen Ramyar, Peter Renaud, Nanette Schleich, Emily Searle, Muhammad Shamshad, Jereena S. Sheeja, Rayhan Uddin, Lieza Vanden Broeke, V. S. Vivek, E. Peter Walker, Manoj Wijesooriya, Tim B.F. Woodfield

Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

20 Scopus citations

Abstract

This study demonstrates the translation of smallbore MARS photon-counting CT technology to live human spectral imaging within a clinical radiation dose level. We used the same spectral CT technology platform (hardware and software) for the acquisition of spectral CT data, image reconstruction, material decomposition and visualisation as used in small-bore MARS photon-counting CT. Small-bore MARS photon-counting CT has been used to produce promising results in the fields of cancer, bone and cartilage health, and cardio-vascular diseases. With the development of large-bore MARS photon-counting CT, small-animal studies can now be translated to humans, sheep, or pigs. Spectral CT data at eight energy-channels were acquired simultaneously to scan body-parts of a human volunteer. Two scans were performed, the first a part of the lower-leg, and the second of the wrist. After reconstructing the spectral CT images with voxel dimensions of 90 × 90 × 90 μm³, a constrained leastsquare based material decomposition was applied to estimate the density of soft-tissue components (water and fat) and bone (calcium) in each voxel. The computed tomography dose index was measured to assess the radiation dose delivered in scanning the lower-leg of a live human. The previous studies conducted on small-bore MARS photon-counting CT have indicated that spectral information is beneficial for the assessment of cancer, bone and cartilage health, and cardio-vascular diseases. This study also demonstrates that spectral information obtained with the large-bore MARS photon-counting CT provides a similar level of material information to that obtained with small-bore MARS photon-counting CT. The measured weighted computed tomography dose index for scanning the two body-parts in this study was below 5 mGy in each scan. Obtaining diagnostic quality spectral CT images of a human within a clinical radiation dose level demonstrates the potential for using large-bore MARS photon-counting CT in human clinical trials.

Original language	British English
Title of host publication	2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538684948
DOIs	https://doi.org/10.1109/NSSMIC.2018.8824513
State	Published - Nov 2018
Event	2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Sydney, Australia Duration: 10 Nov 2018 → 17 Nov 2018

Publication series

Name	2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

Conference

Conference	2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018
Country/Territory	Australia
City	Sydney
Period	10/11/18 → 17/11/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/NSSMIC.2018.8824513

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Panta, R. K., Butler, A. P. H., Butler, P. H., De Ruiter, N. J. A., Bell, S. T., Walsh, M. F., Doesburg, R. M. N., Chernoglazov, A. I., Goulter, B. P., Carbonez, P., Damet, J., Adebileje, S. A., Alexander, S. D., Amma, M. R., Anjomrouz, M., Asghariomabad, F., Atharifard, A., Baer, K., Bamford, B., ... Woodfield, T. B. F. (2018). First human imaging with MARS photon-counting CT. In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings Article 8824513 (2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2018.8824513

Panta, Raj Kumar ; Butler, Anthony P.H. ; Butler, Philip H. et al. / First human imaging with MARS photon-counting CT. 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings).

@inproceedings{d9d1bbf8ffed474ab0dafa89f09f5b43,

title = "First human imaging with MARS photon-counting CT",

abstract = "This study demonstrates the translation of smallbore MARS photon-counting CT technology to live human spectral imaging within a clinical radiation dose level. We used the same spectral CT technology platform (hardware and software) for the acquisition of spectral CT data, image reconstruction, material decomposition and visualisation as used in small-bore MARS photon-counting CT. Small-bore MARS photon-counting CT has been used to produce promising results in the fields of cancer, bone and cartilage health, and cardio-vascular diseases. With the development of large-bore MARS photon-counting CT, small-animal studies can now be translated to humans, sheep, or pigs. Spectral CT data at eight energy-channels were acquired simultaneously to scan body-parts of a human volunteer. Two scans were performed, the first a part of the lower-leg, and the second of the wrist. After reconstructing the spectral CT images with voxel dimensions of 90 × 90 × 90 μm3, a constrained leastsquare based material decomposition was applied to estimate the density of soft-tissue components (water and fat) and bone (calcium) in each voxel. The computed tomography dose index was measured to assess the radiation dose delivered in scanning the lower-leg of a live human. The previous studies conducted on small-bore MARS photon-counting CT have indicated that spectral information is beneficial for the assessment of cancer, bone and cartilage health, and cardio-vascular diseases. This study also demonstrates that spectral information obtained with the large-bore MARS photon-counting CT provides a similar level of material information to that obtained with small-bore MARS photon-counting CT. The measured weighted computed tomography dose index for scanning the two body-parts in this study was below 5 mGy in each scan. Obtaining diagnostic quality spectral CT images of a human within a clinical radiation dose level demonstrates the potential for using large-bore MARS photon-counting CT in human clinical trials.",

author = "Panta, {Raj Kumar} and Butler, {Anthony P.H.} and Butler, {Philip H.} and {De Ruiter}, {Niels J.A.} and Bell, {Stephen T.} and Walsh, {Michael F.} and Doesburg, {Robert M.N.} and Chernoglazov, {Alexander I.} and Goulter, {Brian P.} and Pierre Carbonez and Jerome Damet and Adebileje, {Sikiru A.} and Alexander, {Steven D.} and Amma, {Maya R.} and Marzieh Anjomrouz and Fatemeh Asghariomabad and Ali Atharifard and Kenzie Baer and Benjamin Bamford and Srinidhi Bheesette and Claire Chambers and Shishir Dahal and Tara Dalefield and Neryda Duncan and Gieseg, {Steven P.} and Sam Gurney and Healy, {Joseph L.} and Hilton, {Peter J.} and Preveenkumar Kanithi and Tracy Kirkbride and Lansley, {Stuart P.} and Chiara Lowe and Mandalika, {V. B.H.} and Emmanuel Marfo and Aysouda Matanaghi and Mahdieh Moghiseh and David Palmer and Prebble, {Hannah M.} and Raja, {Aamir Y.} and Mohsen Ramyar and Peter Renaud and Nanette Schleich and Emily Searle and Muhammad Shamshad and Sheeja, {Jereena S.} and Rayhan Uddin and Broeke, {Lieza Vanden} and Vivek, {V. S.} and Walker, {E. Peter} and Manoj Wijesooriya and Woodfield, {Tim B.F.}",

note = "Funding Information: Manuscript received on December 15, 2018. This project was funded by the Ministry of Business, Innovation and Employment (MBIE), New Zealand under contract number UOCX1404, by MARS Bioimaging Ltd and the Ministry of Education through the MedTech CoRE. Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 ; Conference date: 10-11-2018 Through 17-11-2018",

year = "2018",

month = nov,

doi = "10.1109/NSSMIC.2018.8824513",

language = "British English",

series = "2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings",

address = "United States",

}

Panta, RK, Butler, APH, Butler, PH, De Ruiter, NJA, Bell, ST, Walsh, MF, Doesburg, RMN, Chernoglazov, AI, Goulter, BP, Carbonez, P, Damet, J, Adebileje, SA, Alexander, SD, Amma, MR, Anjomrouz, M, Asghariomabad, F, Atharifard, A, Baer, K, Bamford, B, Bheesette, S, Chambers, C, Dahal, S, Dalefield, T, Duncan, N, Gieseg, SP, Gurney, S, Healy, JL, Hilton, PJ, Kanithi, P, Kirkbride, T, Lansley, SP, Lowe, C, Mandalika, VBH, Marfo, E, Matanaghi, A, Moghiseh, M, Palmer, D, Prebble, HM, Raja, AY, Ramyar, M, Renaud, P, Schleich, N, Searle, E, Shamshad, M, Sheeja, JS, Uddin, R, Broeke, LV, Vivek, VS, Walker, EP, Wijesooriya, M & Woodfield, TBF 2018, First human imaging with MARS photon-counting CT. in 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings., 8824513, 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018, Sydney, Australia, 10/11/18. https://doi.org/10.1109/NSSMIC.2018.8824513

First human imaging with MARS photon-counting CT. / Panta, Raj Kumar; Butler, Anthony P.H.; Butler, Philip H. et al.
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8824513 (2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - First human imaging with MARS photon-counting CT

AU - Panta, Raj Kumar

AU - Butler, Anthony P.H.

AU - Butler, Philip H.

AU - De Ruiter, Niels J.A.

AU - Bell, Stephen T.

AU - Walsh, Michael F.

AU - Doesburg, Robert M.N.

AU - Chernoglazov, Alexander I.

AU - Goulter, Brian P.

AU - Carbonez, Pierre

AU - Damet, Jerome

AU - Adebileje, Sikiru A.

AU - Alexander, Steven D.

AU - Amma, Maya R.

AU - Anjomrouz, Marzieh

AU - Asghariomabad, Fatemeh

AU - Atharifard, Ali

AU - Baer, Kenzie

AU - Bamford, Benjamin

AU - Bheesette, Srinidhi

AU - Chambers, Claire

AU - Dahal, Shishir

AU - Dalefield, Tara

AU - Duncan, Neryda

AU - Gieseg, Steven P.

AU - Gurney, Sam

AU - Healy, Joseph L.

AU - Hilton, Peter J.

AU - Kanithi, Preveenkumar

AU - Kirkbride, Tracy

AU - Lansley, Stuart P.

AU - Lowe, Chiara

AU - Mandalika, V. B.H.

AU - Marfo, Emmanuel

AU - Matanaghi, Aysouda

AU - Moghiseh, Mahdieh

AU - Palmer, David

AU - Prebble, Hannah M.

AU - Raja, Aamir Y.

AU - Ramyar, Mohsen

AU - Renaud, Peter

AU - Schleich, Nanette

AU - Searle, Emily

AU - Shamshad, Muhammad

AU - Sheeja, Jereena S.

AU - Uddin, Rayhan

AU - Broeke, Lieza Vanden

AU - Vivek, V. S.

AU - Walker, E. Peter

AU - Wijesooriya, Manoj

AU - Woodfield, Tim B.F.

N1 - Funding Information: Manuscript received on December 15, 2018. This project was funded by the Ministry of Business, Innovation and Employment (MBIE), New Zealand under contract number UOCX1404, by MARS Bioimaging Ltd and the Ministry of Education through the MedTech CoRE. Publisher Copyright: © 2018 IEEE.

PY - 2018/11

Y1 - 2018/11

N2 - This study demonstrates the translation of smallbore MARS photon-counting CT technology to live human spectral imaging within a clinical radiation dose level. We used the same spectral CT technology platform (hardware and software) for the acquisition of spectral CT data, image reconstruction, material decomposition and visualisation as used in small-bore MARS photon-counting CT. Small-bore MARS photon-counting CT has been used to produce promising results in the fields of cancer, bone and cartilage health, and cardio-vascular diseases. With the development of large-bore MARS photon-counting CT, small-animal studies can now be translated to humans, sheep, or pigs. Spectral CT data at eight energy-channels were acquired simultaneously to scan body-parts of a human volunteer. Two scans were performed, the first a part of the lower-leg, and the second of the wrist. After reconstructing the spectral CT images with voxel dimensions of 90 × 90 × 90 μm3, a constrained leastsquare based material decomposition was applied to estimate the density of soft-tissue components (water and fat) and bone (calcium) in each voxel. The computed tomography dose index was measured to assess the radiation dose delivered in scanning the lower-leg of a live human. The previous studies conducted on small-bore MARS photon-counting CT have indicated that spectral information is beneficial for the assessment of cancer, bone and cartilage health, and cardio-vascular diseases. This study also demonstrates that spectral information obtained with the large-bore MARS photon-counting CT provides a similar level of material information to that obtained with small-bore MARS photon-counting CT. The measured weighted computed tomography dose index for scanning the two body-parts in this study was below 5 mGy in each scan. Obtaining diagnostic quality spectral CT images of a human within a clinical radiation dose level demonstrates the potential for using large-bore MARS photon-counting CT in human clinical trials.

AB - This study demonstrates the translation of smallbore MARS photon-counting CT technology to live human spectral imaging within a clinical radiation dose level. We used the same spectral CT technology platform (hardware and software) for the acquisition of spectral CT data, image reconstruction, material decomposition and visualisation as used in small-bore MARS photon-counting CT. Small-bore MARS photon-counting CT has been used to produce promising results in the fields of cancer, bone and cartilage health, and cardio-vascular diseases. With the development of large-bore MARS photon-counting CT, small-animal studies can now be translated to humans, sheep, or pigs. Spectral CT data at eight energy-channels were acquired simultaneously to scan body-parts of a human volunteer. Two scans were performed, the first a part of the lower-leg, and the second of the wrist. After reconstructing the spectral CT images with voxel dimensions of 90 × 90 × 90 μm3, a constrained leastsquare based material decomposition was applied to estimate the density of soft-tissue components (water and fat) and bone (calcium) in each voxel. The computed tomography dose index was measured to assess the radiation dose delivered in scanning the lower-leg of a live human. The previous studies conducted on small-bore MARS photon-counting CT have indicated that spectral information is beneficial for the assessment of cancer, bone and cartilage health, and cardio-vascular diseases. This study also demonstrates that spectral information obtained with the large-bore MARS photon-counting CT provides a similar level of material information to that obtained with small-bore MARS photon-counting CT. The measured weighted computed tomography dose index for scanning the two body-parts in this study was below 5 mGy in each scan. Obtaining diagnostic quality spectral CT images of a human within a clinical radiation dose level demonstrates the potential for using large-bore MARS photon-counting CT in human clinical trials.

UR - http://www.scopus.com/inward/record.url?scp=85073115019&partnerID=8YFLogxK

U2 - 10.1109/NSSMIC.2018.8824513

DO - 10.1109/NSSMIC.2018.8824513

M3 - Conference contribution

AN - SCOPUS:85073115019

T3 - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

BT - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018

Y2 - 10 November 2018 through 17 November 2018

ER -

Panta RK, Butler APH, Butler PH, De Ruiter NJA, Bell ST, Walsh MF et al. First human imaging with MARS photon-counting CT. In 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8824513. (2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings). doi: 10.1109/NSSMIC.2018.8824513

First human imaging with MARS photon-counting CT

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