Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images

Kuangyu Shi; Sabrina T. Astner; Liang Sun; Nassir Navab; Fridtjof Nüsslin; Peter Vaupel; Jan J. Wilkens

doi:10.1007/978-3-642-23623-5_61

Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images

Kuangyu Shi, Sabrina T. Astner, Liang Sun, Nassir Navab, Fridtjof Nüsslin, Peter Vaupel, Jan J. Wilkens

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

Abstract

Development of molecular imaging such as positron-emission tomography (PET) offers an opportunity to optimize radiotherapy treatment planning by conforming the dose distribution to physiological details within tumors, so called dose painting. Quantification of the acquired images and an efficient and practical dose prescription remain two key questions in this field. This paper proposes a novel framework to optimize the dose prescription based on dual-pass modeling of dynamic [¹⁸F]FMISO PET images. An optimization algorithm for sparse dose painting (SDP) is developed by minimizing a linear combination of two terms corresponding to the efficiency and total variation of the dose distribution with the constraint of a constant mean dose. Dose efficiency is defined using the linear-quadratic model. The radiosensitivity given by the oxygen tension is estimated using a dual-pass kinetic-oxygen mapping strategy. This is achieved by integrating a realistic [¹⁸F]FMISO PET imaging simulation model, which can simulate the distribution of oxygen and tracer under the same tumor microenvironment setting. The algorithm was compared with a typical dose painting by number (DPBN) method in one data set of a patient with head and neck cancer.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings
Pages	484-491
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-23623-5_61
State	Published - 2011
Event	14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011 - Toronto, ON, Canada Duration: 18 Sep 2011 → 22 Sep 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6891 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011
Country/Territory	Canada
City	Toronto, ON
Period	18/09/11 → 22/09/11

Keywords

Computational Simulation
Dose Painting
Positron Emission Tomography
Radiation Therapy
Sparse Optimization

Access to Document

10.1007/978-3-642-23623-5_61

Cite this

Shi, K., Astner, S. T., Sun, L., Navab, N., Nüsslin, F., Vaupel, P., & Wilkens, J. J. (2011). Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings (PART 1 ed., pp. 484-491). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6891 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-23623-5_61

Shi, Kuangyu ; Astner, Sabrina T. ; Sun, Liang et al. / Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 1. ed. 2011. pp. 484-491 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "Development of molecular imaging such as positron-emission tomography (PET) offers an opportunity to optimize radiotherapy treatment planning by conforming the dose distribution to physiological details within tumors, so called dose painting. Quantification of the acquired images and an efficient and practical dose prescription remain two key questions in this field. This paper proposes a novel framework to optimize the dose prescription based on dual-pass modeling of dynamic [18F]FMISO PET images. An optimization algorithm for sparse dose painting (SDP) is developed by minimizing a linear combination of two terms corresponding to the efficiency and total variation of the dose distribution with the constraint of a constant mean dose. Dose efficiency is defined using the linear-quadratic model. The radiosensitivity given by the oxygen tension is estimated using a dual-pass kinetic-oxygen mapping strategy. This is achieved by integrating a realistic [18F]FMISO PET imaging simulation model, which can simulate the distribution of oxygen and tracer under the same tumor microenvironment setting. The algorithm was compared with a typical dose painting by number (DPBN) method in one data set of a patient with head and neck cancer.",

keywords = "Computational Simulation, Dose Painting, Positron Emission Tomography, Radiation Therapy, Sparse Optimization",

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Shi, K, Astner, ST, Sun, L, Navab, N , Nüsslin, F, Vaupel, P & Wilkens, JJ 2011, Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images. in Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6891 LNCS, pp. 484-491, 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011, Toronto, ON, Canada, 18/09/11. https://doi.org/10.1007/978-3-642-23623-5_61

Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images. / Shi, Kuangyu; Astner, Sabrina T.; Sun, Liang et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 1. ed. 2011. p. 484-491 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6891 LNCS, No. PART 1).

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

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AU - Vaupel, Peter

AU - Wilkens, Jan J.

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Shi K, Astner ST, Sun L, Navab N , Nüsslin F, Vaupel P et al. Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 1 ed. 2011. p. 484-491. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-23623-5_61

Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images

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Keywords

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