Toward a standard for the evaluation of PET‐Auto‐Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation

New standards for phantom image quality and SUV harmonization range for multicenter oncology PET studies

Go Akamatsu
Naoki Shimada
Keiichi Matsumoto
Hiromitsu Daisaki
Kazufumi Suzuki
Hiroshi Watabe
Keiichi Oda
Michio Senda
Takashi Terauchi
Ukihide Tateishi

February 2022

Not only visual interpretation for lesion detection, staging, and characterization, but also quantit...

Consensus Segmentation for Positron Emission Tomography: Development and Applications in Radiation Therapy

McGurk, Ross

January 2013

<p>The use of positron emission tomography (PET) in radiation therapy has continued to grow, especia...

ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography

Berthon, Beatrice
Marshall, Christopher
Evans, Mererid
Spezi, Emiliano

July 2016

Accurate and reliable tumour delineation on positron emission tomography (PET) is crucial for radiot...

Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation

Berthon, Beatrice
Spezi, Emiliano
Galavis, Paulina
Shepherd, Tony
Apte, Aditya
Hatt, Mathieu
Fayad, Hadi
De Bernard, Elisabetta
Soffientini, Chiara D.
Schmidtlein, C. Ross
El Naqa, Issam
Jeraj, Robert
Lu, Wei
Das, Shiva
Zaidi, Habib
Mawlawi, Osma R.
Visvikis, Dimitris
Lee, John A.
Kirov, Assen S.

August 2017

PURPOSE: The aim of this paper is to define the requirements and describe the design and implementat...

Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation.

Berthon, Beatrice
Spezi, Emiliano
Galavis, Paulina
Shepherd, Tony
Apte, Aditya
Hatt, Mathieu
Fayad, Hadi
De Bernardi, Elisabetta
Soffientini, Chiara D
Ross Schmidtlein, C
El Naqa, Issam
Jeraj, Robert
Lu, Wei
Das, Shiva
Zaidi, Habib
Mawlawi, Osama R
Visvikis, Dimitris
Lee, John Aldo
Kirov, Assen S

January 2017

PURPOSE: The aim of this paper is to define the requirements and describe the design and implementat...

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

Hatt, Mathieu
Lee, John A.
Schmidtlein, Charles R.
Naqa, Issam El
Caldwell, Curtis
De Bernardi, Elisabetta
Lu, Wei
Das, Shiva
Geets, Xavier
Gregoire, Vincent
Jeraj, Robert
MacManus, Michael P.
Mawlawi, Osama R.
Nestle, Ursula
Pugachev, Andrei B.
Schöder, Heiko
Shepherd, Tony
Spezi, Emiliano
Visvikis, Dimitris
Zaidi, Habib
Kirov, Assen S.

June 2017

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/137483/1/mp12124_am.pdfhttps://deepblu...

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

Hatt, Mathieu
Lee, John Aldo
Schmidtlein, Charles R
Naqa, Issam El
Caldwell, Curtis
De Bernardi, Elisabetta
Lu, Wei
Das, Shiva
Geets, Xavier
Grégoire, Vincent
Jeraj, Robert
MacManus, Michael P
Mawlawi, Osama R
Nestle, Ursula
Pugachev, Andrei B
Schöder, Heiko
Shepherd, Tony
Spezi, Emiliano
Visvikis, Dimitris
Zaidi, Habib
Kirov, Assen S

January 2017

PURPOSE: The purpose of this educational report is to provide an overview of the present state-of-th...

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

Hatt, M
Lee, J
Schmidtlein, C R
Naqa, I. El
Caldwell, C.
De Bernardi, E.
Lu, W.
Das, S.
Geets, X.
Gregoire, V.
Jeraj, R.
MacManus, M.
Mawlawi, O.
Nestle, U.
Pugachev, A.
Schöder, H.
Shepherd, T.
Spezi, Emiliano
Visvikis, D.
Zaidi, H.
Kirov, A.S.

June 2017

Purpose The purpose of this educational report is to provide an overview of the present state-of-...

Design of a Benchmark Platform for Evaluating PET-based Contouring Accuracy in Oncology Applications

SHEPHERD, Tony
BERTHON, Béatrice
GALAVIS, Paulina
SPEZI, E
APTE, A
LEE, Joongsoo
VISVIKIS, Dimitris
Hatt, Mathieu
DE BERNARDI, E
DAS, S
EL NAQA, I
NESTLE, U

October 2012

International audienceAims: A growing number of PET-based methods are proposed for defining PET tumo...

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

Hatt, Mathieu
Lee, John A
Schmidtlein, Charles R
Naqa, Issam El
Caldwell, Curtis
De Bernardi, Elisabetta
Lu, Wei
Das, Shiva
Geets, Xavier
Gregoire, Vincent
Jeraj, Robert
MacManus, Michael P
Mawlawi, Osama R
Nestle, Ursula
Pugachev, Andrei B
Schöder, Heiko
Shepherd, Tony
Spezi, Emiliano
Visvikis, Dimitris
Zaidi, Habib
Kirov, Assen S

January 2017

The purpose of this educational report is to provide an overview of the present state-of-the-art PET...

Evaluation of Multi-Center PET/CT Quality Assurance: Multi-Paradigm Software Enables Automated PET Quality Control

Weitzel, Thilo
Prenosil, George
Hentschel, Michael
Fürstner, Markus
Krause, Thomas Michael
Rominger, Axel Oliver
Klaeser, Bernd

January 2018

Context: PET quality assurance (QA) is becoming increasingly important as well as more complex, foll...

Analytical performance of aPROMISE : automated anatomic contextualization, detection, and quantification of [18F]DCFPyL (PSMA) imaging for standardized reporting

Johnsson, Kerstin
Brynolfsson, Johan
Sahlstedt, Hannicka
Nickols, Nicholas G.
Rettig, Matthew
Probst, Stephan
Morris, Michael J.
Bjartell, Anders
Eiber, Mathias
Anand, Aseem

January 2022

Purpose: The application of automated image analyses could improve and facilitate standardization an...

Impact of consensus contours from multiple PET-segmentation methods on the accuracy of functionalvolume delineation

Schaefer, A.
Vermandel, Maximilien
Baillet, C.
Dewalle-Vignon, As
Modzelewski, R.
Vera, P.
Massoptier, L.
Parcq, C.
Gibon, D.
Fechter, T
Nemer, U.
Gardin, I.
Nestle, U.

November 2015

International audienceAbstract:Purpose: This study aimed to evaluate the impact of consensus algorit...

Analytical performance of aPROMISE: automated anatomic contextualization, detection, and quantification of [18F]DCFPyL (PSMA) imaging for standardized reporting

Johnsson, Kerstin
Brynolfsson, Johan
Sahlstedt, Hannicka
Nickols, Nicholas G
Rettig, Matthew
Probst, Stephan
Morris, Michael J
Bjartell, Anders
Eiber, Mathias
Anand, Aseem

February 2022

PurposeThe application of automated image analyses could improve and facilitate standardization and ...

Segmentation and quantitative analysis in whole-body PET imaging

Zhuang, Mingzan

January 2019

PET is widely adopted in clinical oncology to investigate the biochemical characteristics of maligna...

New standards for phantom image quality and SUV harmonization range for multicenter oncology PET studies

Go Akamatsu
Naoki Shimada
Keiichi Matsumoto
Hiromitsu Daisaki
Kazufumi Suzuki
Hiroshi Watabe
Keiichi Oda
Michio Senda
Takashi Terauchi
Ukihide Tateishi

February 2022

Not only visual interpretation for lesion detection, staging, and characterization, but also quantit...

Consensus Segmentation for Positron Emission Tomography: Development and Applications in Radiation Therapy

McGurk, Ross

January 2013

<p>The use of positron emission tomography (PET) in radiation therapy has continued to grow, especia...

ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography

Berthon, Beatrice
Marshall, Christopher
Evans, Mererid
Spezi, Emiliano

July 2016

Accurate and reliable tumour delineation on positron emission tomography (PET) is crucial for radiot...

Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation

Berthon, Beatrice
Spezi, Emiliano
Galavis, Paulina
Shepherd, Tony
Apte, Aditya
Hatt, Mathieu
Fayad, Hadi
De Bernard, Elisabetta
Soffientini, Chiara D.
Schmidtlein, C. Ross
El Naqa, Issam
Jeraj, Robert
Lu, Wei
Das, Shiva
Zaidi, Habib
Mawlawi, Osma R.
Visvikis, Dimitris
Lee, John A.
Kirov, Assen S.

August 2017

PURPOSE: The aim of this paper is to define the requirements and describe the design and implementat...

Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation.

Berthon, Beatrice
Spezi, Emiliano
Galavis, Paulina
Shepherd, Tony
Apte, Aditya
Hatt, Mathieu
Fayad, Hadi
De Bernardi, Elisabetta
Soffientini, Chiara D
Ross Schmidtlein, C
El Naqa, Issam
Jeraj, Robert
Lu, Wei
Das, Shiva
Zaidi, Habib
Mawlawi, Osama R
Visvikis, Dimitris
Lee, John Aldo
Kirov, Assen S

January 2017

PURPOSE: The aim of this paper is to define the requirements and describe the design and implementat...

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

Hatt, Mathieu
Lee, John A.
Schmidtlein, Charles R.
Naqa, Issam El
Caldwell, Curtis
De Bernardi, Elisabetta
Lu, Wei
Das, Shiva
Geets, Xavier
Gregoire, Vincent
Jeraj, Robert
MacManus, Michael P.
Mawlawi, Osama R.
Nestle, Ursula
Pugachev, Andrei B.
Schöder, Heiko
Shepherd, Tony
Spezi, Emiliano
Visvikis, Dimitris
Zaidi, Habib
Kirov, Assen S.

June 2017

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/137483/1/mp12124_am.pdfhttps://deepblu...

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

Hatt, Mathieu
Lee, John Aldo
Schmidtlein, Charles R
Naqa, Issam El
Caldwell, Curtis
De Bernardi, Elisabetta
Lu, Wei
Das, Shiva
Geets, Xavier
Grégoire, Vincent
Jeraj, Robert
MacManus, Michael P
Mawlawi, Osama R
Nestle, Ursula
Pugachev, Andrei B
Schöder, Heiko
Shepherd, Tony
Spezi, Emiliano
Visvikis, Dimitris
Zaidi, Habib
Kirov, Assen S

January 2017

PURPOSE: The purpose of this educational report is to provide an overview of the present state-of-th...

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

Hatt, M
Lee, J
Schmidtlein, C R
Naqa, I. El
Caldwell, C.
De Bernardi, E.
Lu, W.
Das, S.
Geets, X.
Gregoire, V.
Jeraj, R.
MacManus, M.
Mawlawi, O.
Nestle, U.
Pugachev, A.
Schöder, H.
Shepherd, T.
Spezi, Emiliano
Visvikis, D.
Zaidi, H.
Kirov, A.S.

June 2017

Purpose The purpose of this educational report is to provide an overview of the present state-of-...

Design of a Benchmark Platform for Evaluating PET-based Contouring Accuracy in Oncology Applications

SHEPHERD, Tony
BERTHON, Béatrice
GALAVIS, Paulina
SPEZI, E
APTE, A
LEE, Joongsoo
VISVIKIS, Dimitris
Hatt, Mathieu
DE BERNARDI, E
DAS, S
EL NAQA, I
NESTLE, U

October 2012

International audienceAims: A growing number of PET-based methods are proposed for defining PET tumo...

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

Hatt, Mathieu
Lee, John A
Schmidtlein, Charles R
Naqa, Issam El
Caldwell, Curtis
De Bernardi, Elisabetta
Lu, Wei
Das, Shiva
Geets, Xavier
Gregoire, Vincent
Jeraj, Robert
MacManus, Michael P
Mawlawi, Osama R
Nestle, Ursula
Pugachev, Andrei B
Schöder, Heiko
Shepherd, Tony
Spezi, Emiliano
Visvikis, Dimitris
Zaidi, Habib
Kirov, Assen S

January 2017

The purpose of this educational report is to provide an overview of the present state-of-the-art PET...

Evaluation of Multi-Center PET/CT Quality Assurance: Multi-Paradigm Software Enables Automated PET Quality Control

Weitzel, Thilo
Prenosil, George
Hentschel, Michael
Fürstner, Markus
Krause, Thomas Michael
Rominger, Axel Oliver
Klaeser, Bernd

January 2018

Context: PET quality assurance (QA) is becoming increasingly important as well as more complex, foll...

Analytical performance of aPROMISE : automated anatomic contextualization, detection, and quantification of [18F]DCFPyL (PSMA) imaging for standardized reporting

Johnsson, Kerstin
Brynolfsson, Johan
Sahlstedt, Hannicka
Nickols, Nicholas G.
Rettig, Matthew
Probst, Stephan
Morris, Michael J.
Bjartell, Anders
Eiber, Mathias
Anand, Aseem

January 2022

Purpose: The application of automated image analyses could improve and facilitate standardization an...

Impact of consensus contours from multiple PET-segmentation methods on the accuracy of functionalvolume delineation

Schaefer, A.
Vermandel, Maximilien
Baillet, C.
Dewalle-Vignon, As
Modzelewski, R.
Vera, P.
Massoptier, L.
Parcq, C.
Gibon, D.
Fechter, T
Nemer, U.
Gardin, I.
Nestle, U.

November 2015

International audienceAbstract:Purpose: This study aimed to evaluate the impact of consensus algorit...

Analytical performance of aPROMISE: automated anatomic contextualization, detection, and quantification of [18F]DCFPyL (PSMA) imaging for standardized reporting

Johnsson, Kerstin
Brynolfsson, Johan
Sahlstedt, Hannicka
Nickols, Nicholas G
Rettig, Matthew
Probst, Stephan
Morris, Michael J
Bjartell, Anders
Eiber, Mathias
Anand, Aseem

February 2022

PurposeThe application of automated image analyses could improve and facilitate standardization and ...

Segmentation and quantitative analysis in whole-body PET imaging

Zhuang, Mingzan

January 2019

PET is widely adopted in clinical oncology to investigate the biochemical characteristics of maligna...

New standards for phantom image quality and SUV harmonization range for multicenter oncology PET studies

Go Akamatsu
Naoki Shimada
Keiichi Matsumoto
Hiromitsu Daisaki
Kazufumi Suzuki
Hiroshi Watabe
Keiichi Oda
Michio Senda
Takashi Terauchi
Ukihide Tateishi

February 2022

Not only visual interpretation for lesion detection, staging, and characterization, but also quantit...

Consensus Segmentation for Positron Emission Tomography: Development and Applications in Radiation Therapy

McGurk, Ross

January 2013

<p>The use of positron emission tomography (PET) in radiation therapy has continued to grow, especia...

ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography

Berthon, Beatrice
Marshall, Christopher
Evans, Mererid
Spezi, Emiliano

July 2016

Accurate and reliable tumour delineation on positron emission tomography (PET) is crucial for radiot...

Toward a standard for the evaluation of PET‐Auto‐Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation

Abstract

Extracted data

Toward a standard for the evaluation of PET‐Auto‐Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation

Abstract

Extracted data

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