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An image registrati...
An image registration method for voxel-wise analysis of whole-body oncological PET-CT
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- Jönsson, Hanna (författare)
- Uppsala universitet,Radiologi
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- Ekström, Simon, 1991- (författare)
- Uppsala universitet,Radiologi
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- Strand, Robin, 1978- (författare)
- Uppsala universitet,Bildanalys och människa-datorinteraktion,Radiologi
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Pedersen, Mette A (författare)
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- Molin, Daniel, 1969- (författare)
- Uppsala universitet,Cancerimmunterapi
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- Ahlström, Håkan, 1953- (författare)
- Uppsala universitet,Radiologi,Antaros Med AB, BioVenture Hub, S-43153 Mölndal, Sweden.
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- Kullberg, Joel, 1979- (författare)
- Uppsala universitet,Radiologi,Antaros Med AB, BioVenture Hub, S-43153 Mölndal, Sweden.
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(creator_code:org_t)
- 2022-11-05
- 2022
- Engelska.
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Ingår i: Scientific Reports. - : Springer Nature. - 2045-2322. ; 12
- Relaterad länk:
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https://doi.org/10.1...
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https://uu.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Whole-body positron emission tomography-computed tomography (PET-CT) imaging in oncology provides comprehensive information of each patient's disease status. However, image interpretation of volumetric data is a complex and time-consuming task. In this work, an image registration method targeted towards computer-aided voxel-wise analysis of whole-body PET-CT data was developed. The method used both CT images and tissue segmentation masks in parallel to spatially align images step-by-step. To evaluate its performance, a set of baseline PET-CT images of 131 classical Hodgkin lymphoma (cHL) patients and longitudinal image series of 135 head and neck cancer (HNC) patients were registered between and within subjects according to the proposed method. Results showed that major organs and anatomical structures generally were registered correctly. Whole-body inverse consistency vector and intensity magnitude errors were on average less than 5 mm and 45 Hounsfield units respectively in both registration tasks. Image registration was feasible in time and the nearly automatic pipeline enabled efficient image processing. Metabolic tumor volumes of the cHL patients and registration-derived therapy-related tissue volume change of the HNC patients mapped to template spaces confirmed proof-of-concept. In conclusion, the method established a robust point-correspondence and enabled quantitative visualization of group-wise image features on voxel level.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- Computerized Image Processing
- Datoriserad bildbehandling
- Computerized Image Processing
- Datoriserad bildbehandling
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Jönsson, Hanna
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Ekström, Simon, ...
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Strand, Robin, 1 ...
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Pedersen, Mette ...
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Molin, Daniel, 1 ...
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Ahlström, Håkan, ...
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Kullberg, Joel, ...
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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Uppsala universitet