Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans

AM Mendrik; EPA Vonken; TD Witkamp; Mathias Prokop; Bram Van Ginneken; Max A. Viergever

doi:10.1007/978-3-319-14905-9_7

Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans

AM Mendrik, EPA Vonken, TD Witkamp, Mathias Prokop, Bram Van Ginneken, Max A. Viergever

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

Abstract

High resolution 4D (3D+time) cerebral CT perfusion (CTP) scans can be used to create 3D arteriograms (showing only arteries) and venograms (only veins). However, due to the low X-ray radiation dose used for acquiring the CTP scans, they are inherently noisy. In this paper, we propose a time intensity profile similarity (TIPS) anisotropic diffusion method that uses the 4th dimension to distinguish between structures, for reducing noise and enhancing arteries and veins in 4D CTP scans. The method was evaluated on 20 patient CTP scans. An observer study was performed by two radiologists, assessing the arteries and veins in arteriograms and venograms derived from the filtered CTP data, compared to those derived from the original data. Results showed that arteriograms and venograms derived from the filtered CTP data showed more and better visualized small arteries and veins in the majority of the 20 evaluated CTP scans. In conclusion, arteries and veins are separately enhanced and noise is reduced by using the time-intensity profile similarity (fourth dimension) to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans.

Original language	English
Title of host publication	Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data
Subtitle of host publication	Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers
Editors	Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer, Xavier Pennec
Publisher	Springer-Verlag
Pages	79-87
Number of pages	9
ISBN (Electronic)	978-3-319-14905-9
ISBN (Print)	9783319149042
DOIs	https://doi.org/10.1007/978-3-319-14905-9_7
Publication status	Published - 1 Jan 2015
Event	3rd International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2014 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014 - Boston, Netherlands Duration: 18 Sept 2014 → 18 Sept 2014

Publication series

Name	Lecture Notes in Computer Science
Volume	8682
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	3rd International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2014 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014
Country/Territory	Netherlands
City	Boston
Period	18/09/14 → 18/09/14

Access to Document

10.1007/978-3-319-14905-9_7

Cite this

Mendrik, AM., Vonken, EPA., Witkamp, TD., Prokop, M., Van Ginneken, B., & Viergever, M. A. (2015). Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans. In S. Durrleman, T. Fletcher, G. Gerig, M. Niethammer, & X. Pennec (Eds.), Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data: Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers (pp. 79-87). (Lecture Notes in Computer Science ; Vol. 8682). Springer-Verlag. https://doi.org/10.1007/978-3-319-14905-9_7

Mendrik, AM ; Vonken, EPA ; Witkamp, TD et al. / Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans. Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data: Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. editor / Stanley Durrleman ; Tom Fletcher ; Guido Gerig ; Marc Niethammer ; Xavier Pennec. Springer-Verlag, 2015. pp. 79-87 (Lecture Notes in Computer Science ).

@inproceedings{0455a897d7dc4c848779167b581153f6,

title = "Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans",

abstract = "High resolution 4D (3D+time) cerebral CT perfusion (CTP) scans can be used to create 3D arteriograms (showing only arteries) and venograms (only veins). However, due to the low X-ray radiation dose used for acquiring the CTP scans, they are inherently noisy. In this paper, we propose a time intensity profile similarity (TIPS) anisotropic diffusion method that uses the 4th dimension to distinguish between structures, for reducing noise and enhancing arteries and veins in 4D CTP scans. The method was evaluated on 20 patient CTP scans. An observer study was performed by two radiologists, assessing the arteries and veins in arteriograms and venograms derived from the filtered CTP data, compared to those derived from the original data. Results showed that arteriograms and venograms derived from the filtered CTP data showed more and better visualized small arteries and veins in the majority of the 20 evaluated CTP scans. In conclusion, arteries and veins are separately enhanced and noise is reduced by using the time-intensity profile similarity (fourth dimension) to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans.",

author = "AM Mendrik and EPA Vonken and TD Witkamp and Mathias Prokop and {Van Ginneken}, Bram and Viergever, {Max A.}",

year = "2015",

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doi = "10.1007/978-3-319-14905-9_7",

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address = "Germany",

note = "3rd International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2014 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014 ; Conference date: 18-09-2014 Through 18-09-2014",

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Mendrik, AM, Vonken, EPA, Witkamp, TD, Prokop, M, Van Ginneken, B & Viergever, MA 2015, Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans. in S Durrleman, T Fletcher, G Gerig, M Niethammer & X Pennec (eds), Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data: Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science , vol. 8682, Springer-Verlag, pp. 79-87, 3rd International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2014 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, Boston, Netherlands, 18/09/14. https://doi.org/10.1007/978-3-319-14905-9_7

Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans. / Mendrik, AM; Vonken, EPA; Witkamp, TD et al.
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data: Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. ed. / Stanley Durrleman; Tom Fletcher; Guido Gerig; Marc Niethammer; Xavier Pennec. Springer-Verlag, 2015. p. 79-87 (Lecture Notes in Computer Science ; Vol. 8682).

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

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AU - Vonken, EPA

AU - Witkamp, TD

AU - Prokop, Mathias

AU - Van Ginneken, Bram

AU - Viergever, Max A.

PY - 2015/1/1

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N2 - High resolution 4D (3D+time) cerebral CT perfusion (CTP) scans can be used to create 3D arteriograms (showing only arteries) and venograms (only veins). However, due to the low X-ray radiation dose used for acquiring the CTP scans, they are inherently noisy. In this paper, we propose a time intensity profile similarity (TIPS) anisotropic diffusion method that uses the 4th dimension to distinguish between structures, for reducing noise and enhancing arteries and veins in 4D CTP scans. The method was evaluated on 20 patient CTP scans. An observer study was performed by two radiologists, assessing the arteries and veins in arteriograms and venograms derived from the filtered CTP data, compared to those derived from the original data. Results showed that arteriograms and venograms derived from the filtered CTP data showed more and better visualized small arteries and veins in the majority of the 20 evaluated CTP scans. In conclusion, arteries and veins are separately enhanced and noise is reduced by using the time-intensity profile similarity (fourth dimension) to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans.

AB - High resolution 4D (3D+time) cerebral CT perfusion (CTP) scans can be used to create 3D arteriograms (showing only arteries) and venograms (only veins). However, due to the low X-ray radiation dose used for acquiring the CTP scans, they are inherently noisy. In this paper, we propose a time intensity profile similarity (TIPS) anisotropic diffusion method that uses the 4th dimension to distinguish between structures, for reducing noise and enhancing arteries and veins in 4D CTP scans. The method was evaluated on 20 patient CTP scans. An observer study was performed by two radiologists, assessing the arteries and veins in arteriograms and venograms derived from the filtered CTP data, compared to those derived from the original data. Results showed that arteriograms and venograms derived from the filtered CTP data showed more and better visualized small arteries and veins in the majority of the 20 evaluated CTP scans. In conclusion, arteries and veins are separately enhanced and noise is reduced by using the time-intensity profile similarity (fourth dimension) to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans.

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Mendrik AM, Vonken EPA, Witkamp TD, Prokop M, Van Ginneken B, Viergever MA. Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans. In Durrleman S, Fletcher T, Gerig G, Niethammer M, Pennec X, editors, Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data: Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers. Springer-Verlag. 2015. p. 79-87. (Lecture Notes in Computer Science ). doi: 10.1007/978-3-319-14905-9_7

Using the fourth dimension to distinguish between structures for anisotropic diffusion filtering in 4D CT perfusion scans

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