Technical Note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm.

Carl Siversson; Fredrik Nordström; Terese Nilsson; Tufve Nyholm; Joakim Jonsson; Adalsteinn Gunnlaugsson; Lars E Olsson

doi:10.1118/1.4931417

Technical Note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm.

Carl Siversson, Fredrik Nordström, Terese Nilsson, Tufve Nyholm, Joakim Jonsson, Adalsteinn Gunnlaugsson, Lars E Olsson

Research output: Contribution to journal › Article › peer-review

Abstract

In order to enable a magnetic resonance imaging (MRI) only workflow in radiotherapy treatment planning, methods are required for generating Hounsfield unit (HU) maps (i.e., synthetic computed tomography, sCT) for dose calculations, directly from MRI. The Statistical Decomposition Algorithm (SDA) is a method for automatically generating sCT images from a single MR image volume, based on automatic tissue classification in combination with a model trained using a multimodal template material. This study compares dose calculations between sCT generated by the SDA and conventional CT in the male pelvic region.

Original language	English
Pages (from-to)	6090-6097
Journal	Medical Physics
Volume	42
Issue number	10
DOIs	https://doi.org/10.1118/1.4931417
Publication status	Published - 2015

Subject classification (UKÄ)

Radiology and Medical Imaging

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10.1118/1.4931417

http://www.ncbi.nlm.nih.gov/pubmed/26429284?dopt=Abstract

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title = "Technical Note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm.",

abstract = "In order to enable a magnetic resonance imaging (MRI) only workflow in radiotherapy treatment planning, methods are required for generating Hounsfield unit (HU) maps (i.e., synthetic computed tomography, sCT) for dose calculations, directly from MRI. The Statistical Decomposition Algorithm (SDA) is a method for automatically generating sCT images from a single MR image volume, based on automatic tissue classification in combination with a model trained using a multimodal template material. This study compares dose calculations between sCT generated by the SDA and conventional CT in the male pelvic region.",

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AU - Siversson, Carl

AU - Nordström, Fredrik

AU - Nilsson, Terese

AU - Nyholm, Tufve

AU - Jonsson, Joakim

AU - Gunnlaugsson, Adalsteinn

AU - Olsson, Lars E

PY - 2015

Y1 - 2015

N2 - In order to enable a magnetic resonance imaging (MRI) only workflow in radiotherapy treatment planning, methods are required for generating Hounsfield unit (HU) maps (i.e., synthetic computed tomography, sCT) for dose calculations, directly from MRI. The Statistical Decomposition Algorithm (SDA) is a method for automatically generating sCT images from a single MR image volume, based on automatic tissue classification in combination with a model trained using a multimodal template material. This study compares dose calculations between sCT generated by the SDA and conventional CT in the male pelvic region.

AB - In order to enable a magnetic resonance imaging (MRI) only workflow in radiotherapy treatment planning, methods are required for generating Hounsfield unit (HU) maps (i.e., synthetic computed tomography, sCT) for dose calculations, directly from MRI. The Statistical Decomposition Algorithm (SDA) is a method for automatically generating sCT images from a single MR image volume, based on automatic tissue classification in combination with a model trained using a multimodal template material. This study compares dose calculations between sCT generated by the SDA and conventional CT in the male pelvic region.

UR - https://www.scopus.com/pages/publications/84942893075

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SP - 6090

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JO - Medical Physics

JF - Medical Physics

IS - 10

ER -

Technical Note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm.

Abstract

Subject classification (UKÄ)

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