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Privat-docent thesis
English

Towards quantitative multimodality imaging in the planning, quality control, dosimetry and response assessment of therapy in oncologic and non oncologic diseases

Contributors

Wissmeyer, Michael

Defense date

2016

Abstract

Qualitative and quantitative multimodality imaging play a more and more important role in the planning, quality control, and assessment of response in many oncologic and non oncologic diseases. Before hybrid modalities such as SPECT/CT, PET/CT and, most recently, PET/MRI, became available, the images from the different modalities were analyzed independently or by software fusion. Nowadays, these images are most frequently acquired on hybrid modalities, allowing for so called "one-stop-shop" investigations. Depending on a static or a dynamic image acquisition, either semi or fully quantitative measurements of both structural and functional parameters are possible, allowing for multi-parametric image analysis. These qualitative and quantitative parameters can then be used for detection and assessment of extension of disease as well as for planning of therapeutic interventions or, even more interesting, for quality control, dosimetry of radionuclide therapies, assessment of response to treatment and, finally, prediction of outcome of the patients. This thesis discusses the qualitative and quantitative imaging and quantification methods available today and their potential future impact in research and clinical decision making.

Keywords

  • Quantitative
  • Multimodality
  • Imaging
  • Parametric
  • PET/CT
  • SPECT/CT
  • PET/MRI
  • Ultrasound

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

WISSMEYER, Michael. Towards quantitative multimodality imaging in the planning, quality control, dosimetry and response assessment of therapy in oncologic and non oncologic diseases. Privat-docent Thesis, 2016. doi: 10.13097/archive-ouverte/unige:85308

Main files (1)

Thesis

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Technical informations

Creation

14/07/2016 15:26:00

First validation

14/07/2016 15:26:00

Update

15/03/2023 00:33:20

Status update

15/03/2023 00:33:20

Last indexation

31/10/2024 03:58:09
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