Classification and evaluation strategies of auto‐segmentation approaches for PET: Report of AAPM task group No. 211

M Hatt, JA Lee, CR Schmidtlein, IE Naqa… - Medical …, 2017 - Wiley Online Library
Purpose The purpose of this educational report is to provide an overview of the present state‐
of‐the‐art PET auto‐segmentation (PET‐AS) algorithms and their respective validation, with …

A novel PET tumor delineation method based on adaptive region‐growing and dual‐front active contours

H Li, WL Thorstad, KJ Biehl, R Laforest, Y Su… - Medical …, 2008 - Wiley Online Library
To more accurately and precisely delineate a tumor in a 3D PET image, we proposed a
novel, semi‐automatic, two‐stage method by utilizing an adaptive region‐growing algorithm …

PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques

H Zaidi, I El Naqa - European journal of nuclear medicine and molecular …, 2010 - Springer
Historically, anatomical CT and MR images were used to delineate the gross tumour
volumes (GTVs) for radiotherapy treatment planning. The capabilities offered by modern …

A review on segmentation of positron emission tomography images

B Foster, U Bagci, A Mansoor, Z Xu… - Computers in biology and …, 2014 - Elsevier
Abstract Positron Emission Tomography (PET), a non-invasive functional imaging method at
the molecular level, images the distribution of biologically targeted radiotracers with high …

Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images

U Bagci, JK Udupa, N Mendhiratta, B Foster, Z Xu… - Medical image …, 2013 - Elsevier
We present a novel method for the joint segmentation of anatomical and functional images.
Our proposed methodology unifies the domains of anatomical and functional images …

Segmentation of dynamic PET images using cluster analysis

KP Wong, D Feng, SR Meikle… - IEEE Transactions on …, 2002 - ieeexplore.ieee.org
Quantitative positron emission tomography (PET) studies provide in vivo measurements of
dynamic physiological and biochemical processes in humans. A limitation of PET is an …

Automatic segmentation of liver PET images

CY Hsu, CY Liu, CM Chen - Computerized Medical Imaging and Graphics, 2008 - Elsevier
Automation of liver positron emission tomography (PET) image segmentation is proposed in
this paper. A new active contour model (ACM), called Poisson Gradient Vector Flow (PGVF) …

Toward high-throughput artificial intelligence-based segmentation in oncological PET imaging

F Yousefirizi, AK Jha, J Brosch-Lenz, B Saboury… - PET clinics, 2021 - pet.theclinics.com
An array of artificial intelligence (AI) techniques in the field of medical imaging has emerged
in the past decade for automated image segmentation. 1 Medical image segmentation seeks …

PET functional volume delineation: a robustness and repeatability study

M Hatt, C Cheze Le Rest, N Albarghach… - European journal of …, 2011 - Springer
Purpose Current state-of-the-art algorithms for functional uptake volume segmentation in
PET imaging consist of threshold-based approaches, whose parameters often require …

The first MICCAI challenge on PET tumor segmentation

M Hatt, B Laurent, A Ouahabi, H Fayad, S Tan, L Li… - Medical image …, 2018 - Elsevier
Introduction Automatic functional volume segmentation in PET images is a challenge that
has been addressed using a large array of methods. A major limitation for the field has been …