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  1. Article: Monte Carlo Simulations of the GE Signa PET/MR for Different Radioisotopes.

    Caribé, Paulo R R V / Vandenberghe, Stefaan / Diogo, André / Pérez-Benito, David / Efthimiou, Nikos / Thyssen, Charlotte / D'Asseler, Yves / Koole, Michel

    Frontiers in physiology

    2020  Volume 11, Page(s) 525575

    Abstract: NEMA characterization of PET systems is generally based on : Methods: Aim of this work was three-fold: (A) Develop a GATE model of the GE Signa PET/MR to perform realistic and relevant Monte Carlo simulations (B) Validate this model with published ... ...

    Abstract NEMA characterization of PET systems is generally based on
    Methods: Aim of this work was three-fold: (A) Develop a GATE model of the GE Signa PET/MR to perform realistic and relevant Monte Carlo simulations (B) Validate this model with published sensitivity and Noise Equivalent Count Rate (NECR) data for
    Results: Simulated sensitivity and NECR tests performed with the GATE-model for different radioisotopes were in line with literature values. Simulated sensitivities for
    Conclusion: Monte-Carlo simulations were used to predict sensitivity and NECR performance of GE Signa PET/MR for
    Language English
    Publishing date 2020-09-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2020.525575
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  2. Article: NEMA NU 2-2007 performance characteristics of GE Signa integrated PET/MR for different PET isotopes.

    Caribé, Paulo R R V / Koole, M / D'Asseler, Yves / Deller, Timothy W / Van Laere, K / Vandenberghe, S

    EJNMMI physics

    2019  Volume 6, Issue 1, Page(s) 11

    Abstract: Background: Fully integrated PET/MR systems are being used frequently in clinical research and routine. National Electrical Manufacturers Association (NEMA) characterization of these systems is generally done with : Methods: NEMA NU 2-2007 ... ...

    Abstract Background: Fully integrated PET/MR systems are being used frequently in clinical research and routine. National Electrical Manufacturers Association (NEMA) characterization of these systems is generally done with
    Methods: NEMA NU 2-2007 performance measurements were performed for characterizing the spatial resolution, sensitivity, image quality, and the accuracy of attenuation and scatter corrections for
    Results: 18
    Conclusions: The system performance of GE Signa integrated PET/MR was substantially different, in terms of NEMA spatial resolution, image quality, and NECR for
    Language English
    Publishing date 2019-07-04
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2768912-8
    ISSN 2197-7364
    ISSN 2197-7364
    DOI 10.1186/s40658-019-0247-x
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  3. Article: Noise reduction using a Bayesian penalized-likelihood reconstruction algorithm on a time-of-flight PET-CT scanner.

    Caribé, Paulo R R V / Koole, M / D'Asseler, Yves / Van Den Broeck, B / Vandenberghe, S

    EJNMMI physics

    2019  Volume 6, Issue 1, Page(s) 22

    Abstract: Purpose: Q.Clear is a block sequential regularized expectation maximization (BSREM) penalized-likelihood reconstruction algorithm for PET. It tries to improve image quality by controlling noise amplification during image reconstruction. In this study, ... ...

    Abstract Purpose: Q.Clear is a block sequential regularized expectation maximization (BSREM) penalized-likelihood reconstruction algorithm for PET. It tries to improve image quality by controlling noise amplification during image reconstruction. In this study, the noise properties of this BSREM were compared to the ordered-subset expectation maximization (OSEM) algorithm for both phantom and patient data acquired on a state-of-the-art PET/CT.
    Methods: The NEMA IQ phantom and a whole-body patient study were acquired on a GE DMI 3-rings system in list mode and different datasets with varying noise levels were generated. Phantom data was evaluated using four different contrast ratios. These were reconstructed using BSREM with different β-factors of 300-3000 and with a clinical setting used for OSEM including point spread function (PSF) and time-of-flight (TOF) information. Contrast recovery (CR), background noise levels (coefficient of variation, COV), and contrast-to-noise ratio (CNR) were used to determine the performance in the phantom data. Findings based on the phantom data were compared with clinical data. For the patient study, the SUV ratio, metabolic active tumor volumes (MATVs), and the signal-to-noise ratio (SNR) were evaluated using the liver as the background region.
    Results: Based on the phantom data for the same count statistics, BSREM resulted in higher CR and CNR and lower COV than OSEM. The CR of OSEM matches to the CR of BSREM with β = 750 at high count statistics for 8:1. A similar trend was observed for the ratios 6:1 and 4:1. A dependence on sphere size, counting statistics, and contrast ratio was confirmed by the CNR of the ratio 2:1. BSREM with β = 750 for 2.5 and 1.0 min acquisition has comparable COV to the 10 and 5.0 min acquisitions using OSEM. This resulted in a noise reduction by a factor of 2-4 when using BSREM instead of OSEM. For the patient data, a similar trend was observed, and SNR was reduced by at least a factor of 2 while preserving contrast.
    Conclusion: The BSREM reconstruction algorithm allowed a noise reduction without a loss of contrast by a factor of 2-4 compared to OSEM reconstructions for all data evaluated. This reduction can be used to lower the injected dose or shorten the acquisition time.
    Language English
    Publishing date 2019-12-10
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2768912-8
    ISSN 2197-7364
    ISSN 2197-7364
    DOI 10.1186/s40658-019-0264-9
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  4. Article ; Online: Noise reduction using a Bayesian penalized-likelihood reconstruction algorithm on a time-of-flight PET-CT scanner

    Paulo R. R. V. Caribé / M. Koole / Yves D’Asseler / B. Van Den Broeck / S. Vandenberghe

    EJNMMI Physics, Vol 6, Iss 1, Pp 1-

    2019  Volume 14

    Abstract: Abstract Purpose Q.Clear is a block sequential regularized expectation maximization (BSREM) penalized-likelihood reconstruction algorithm for PET. It tries to improve image quality by controlling noise amplification during image reconstruction. In this ... ...

    Abstract Abstract Purpose Q.Clear is a block sequential regularized expectation maximization (BSREM) penalized-likelihood reconstruction algorithm for PET. It tries to improve image quality by controlling noise amplification during image reconstruction. In this study, the noise properties of this BSREM were compared to the ordered-subset expectation maximization (OSEM) algorithm for both phantom and patient data acquired on a state-of-the-art PET/CT. Methods The NEMA IQ phantom and a whole-body patient study were acquired on a GE DMI 3-rings system in list mode and different datasets with varying noise levels were generated. Phantom data was evaluated using four different contrast ratios. These were reconstructed using BSREM with different β-factors of 300–3000 and with a clinical setting used for OSEM including point spread function (PSF) and time-of-flight (TOF) information. Contrast recovery (CR), background noise levels (coefficient of variation, COV), and contrast-to-noise ratio (CNR) were used to determine the performance in the phantom data. Findings based on the phantom data were compared with clinical data. For the patient study, the SUV ratio, metabolic active tumor volumes (MATVs), and the signal-to-noise ratio (SNR) were evaluated using the liver as the background region. Results Based on the phantom data for the same count statistics, BSREM resulted in higher CR and CNR and lower COV than OSEM. The CR of OSEM matches to the CR of BSREM with β = 750 at high count statistics for 8:1. A similar trend was observed for the ratios 6:1 and 4:1. A dependence on sphere size, counting statistics, and contrast ratio was confirmed by the CNR of the ratio 2:1. BSREM with β = 750 for 2.5 and 1.0 min acquisition has comparable COV to the 10 and 5.0 min acquisitions using OSEM. This resulted in a noise reduction by a factor of 2–4 when using BSREM instead of OSEM. For the patient data, a similar trend was observed, and SNR was reduced by at least a factor of 2 while preserving contrast. Conclusion The BSREM reconstruction algorithm allowed a noise reduction without a loss of contrast by a factor of 2–4 compared to OSEM reconstructions for all data evaluated. This reduction can be used to lower the injected dose or shorten the acquisition time.
    Keywords Penalized-likelihood reconstruction ; BSREM ; Q.Clear ; OSEM ; PET ; Medical physics. Medical radiology. Nuclear medicine ; R895-920
    Subject code 616
    Language English
    Publishing date 2019-12-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: NEMA NU 2–2007 performance characteristics of GE Signa integrated PET/MR for different PET isotopes

    Paulo R. R. V. Caribé / M. Koole / Yves D’Asseler / Timothy W. Deller / K. Van Laere / S. Vandenberghe

    EJNMMI Physics, Vol 6, Iss 1, Pp 1-

    2019  Volume 13

    Abstract: Abstract Background Fully integrated PET/MR systems are being used frequently in clinical research and routine. National Electrical Manufacturers Association (NEMA) characterization of these systems is generally done with 18F which is clinically the most ...

    Abstract Abstract Background Fully integrated PET/MR systems are being used frequently in clinical research and routine. National Electrical Manufacturers Association (NEMA) characterization of these systems is generally done with 18F which is clinically the most relevant PET isotope. However, other PET isotopes, such as 68Ga and 90Y, are gaining clinical importance as they are of specific interest for oncological applications and for follow-up of 90Y-based radionuclide therapy. These isotopes have a complex decay scheme with a variety of prompt gammas in coincidence. 68Ga and 90Y have higher positron energy and, because of the larger positron range, there may be interference with the magnetic field of the MR compared to 18F. Therefore, it is relevant to determine the performance of PET/MR for these clinically relevant and commercially available isotopes. Methods NEMA NU 2–2007 performance measurements were performed for characterizing the spatial resolution, sensitivity, image quality, and the accuracy of attenuation and scatter corrections for 18F, 68Ga, and 90Y. Scatter fraction and noise equivalent count rate (NECR) tests were performed using 18F and 68Ga. All phantom data were acquired on the GE Signa integrated PET/MR system, installed in UZ Leuven, Belgium. Results 18F, 68Ga, and 90Y NEMA performance tests resulted in substantially different system characteristics. In comparison with 18F, the spatial resolution is about 1 mm larger in the axial direction for 68Ga and no significative effect was found for 90Y. The impact of this lower resolution is also visible in the recovery coefficients of the smallest spheres of 68Ga in image quality measurements, where clearly lower values are obtained. For 90Y, the low number of counts leads to a large variability in the image quality measurements. The primary factor for the sensitivity change is the scale factor related to the positron emission fraction. There is also an impact on the peak NECR, which is lower for 68Ga than for 18F and appears at higher activities. ...
    Keywords PET/MR ; NEMA NU 2–2007 ; 18F ; 68Ga ; 90Y ; Medical physics. Medical radiology. Nuclear medicine ; R895-920
    Subject code 620
    Language English
    Publishing date 2019-07-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Monte Carlo Simulations of the GE Signa PET/MR for Different Radioisotopes

    Paulo R. R. V. Caribé / Stefaan Vandenberghe / André Diogo / David Pérez-Benito / Nikos Efthimiou / Charlotte Thyssen / Yves D’Asseler / Michel Koole

    Frontiers in Physiology, Vol

    2020  Volume 11

    Abstract: NEMA characterization of PET systems is generally based on 18F because it is the most relevant radioisotope for the clinical use of PET. 18F has a half-life of 109.7 min and decays into stable 18O via β+ emission with a probability of over 96% and a ... ...

    Abstract NEMA characterization of PET systems is generally based on 18F because it is the most relevant radioisotope for the clinical use of PET. 18F has a half-life of 109.7 min and decays into stable 18O via β+ emission with a probability of over 96% and a maximum positron energy of 0.633 MeV. Other commercially available PET radioisotopes, such as 82Rb and 68Ga have more complex decay schemes with a variety of prompt gammas, which can directly fall into the energy window and induce false coincidence detections by the PET scanner.MethodsAim of this work was three-fold: (A) Develop a GATE model of the GE Signa PET/MR to perform realistic and relevant Monte Carlo simulations (B) Validate this model with published sensitivity and Noise Equivalent Count Rate (NECR) data for 18F and 68Ga (C) Use the validated GATE-model to predict the system performance for other PET isotopes including 11C, 15O, 13N, 82Rb, and 68Ga and to evaluate the effect of a 3T magnetic field on the positron range.ResultsSimulated sensitivity and NECR tests performed with the GATE-model for different radioisotopes were in line with literature values. Simulated sensitivities for 18F and 68Ga were 21.2 and 19.0/kBq, respectively, for the center position and 21.1 and 19.0 cps/kBq, respectively, for the 10 cm off-center position compared to the corresponding measured values of 21.8 and 20.0 cps/kBq for the center position and 21.1 and 19.6 cps/kBq for the 10 cm off-center position. In terms of NECR, the simulated peak NECR was 216.8 kcps at 17.40 kBq/ml for 18F and 207.1 kcps at 20.10 kBq/ml for 68Ga compared to the measured peak NECR of 216.8 kcps at 18.60 kBq/ml and 205.6 kcps at 20.40 kBq/ml for18F and 68Ga, respectively. For 11C, 13N, and 15O, results confirmed a peak NECR similar to 18F with the effective activity concentration scaled by the inverse of the positron fraction. For 82Rb, and 68Ga, the peak NECR was lower than for 18F while the corresponding activity concentrations were higher. For the higher energy positron emitters, the positron range ...
    Keywords nuclear medicine ; PET/MR ; NEMA NU 2–2012 ; high energy positron emitters ; positron range ; Physiology ; QP1-981
    Subject code 541
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics.

    Nagy-Reis, Mariana / Oshima, Júlia Emi de Faria / Kanda, Claudia Zukeran / Palmeira, Francesca Belem Lopes / de Melo, Fabiano Rodrigues / Morato, Ronaldo Gonçalves / Bonjorne, Lilian / Magioli, Marcelo / Leuchtenberger, Caroline / Rohe, Fabio / Lemos, Frederico Gemesio / Martello, Felipe / Alves-Eigenheer, Milene / da Silva, Rafaela Aparecida / Silveira Dos Santos, Juliana / Priante, Camila Fátima / Bernardo, Rodrigo / Rogeri, Patricia / Assis, Julia Camara /
    Gaspar, Lucas Pacciullio / Tonetti, Vinicius Rodrigues / Trinca, Cristiano Trapé / Ribeiro, Adauto de Souza / Bocchiglieri, Adriana / Hass, Adriani / Canteri, Adriano / Chiarello, Adriano Garcia / Paglia, Adriano Pereira / Pereira, Adriele Aparecida / de Souza, Agnis Cristiane / Gatica, Ailin / Medeiro, Akyllam Zoppi / Eriksson, Alan / Costa, Alan Nilo / González-Gallina, Alberto / Yanosky, Alberto A / Jesus de la Cruz, Alejandro / Bertassoni, Alessandra / Bager, Alex / Bovo, Alex Augusto Abreu / Cravino Mol, Alexandra / Bezerra, Alexandra Maria Ramos / Percequillo, Alexandre / Vogliotti, Alexandre / Costa Lopes, Alexandre Martins / Keuroghlian, Alexine / Zúñiga Hartley, Alfonso Christopher / Devlin, Allison L / de Paula, Almir / García-Olaechea, Alvaro / Sánchez, Amadeo / Aquino, Ana Carla Medeiros Morato / Srbek-Araujo, Ana Carolina / Ochoa, Ana Cecilia / Tomazzoni, Ana Cristina / Lacerda, Ana Cristyna Reis / Bacellar, Ana Elisa de Faria / Campelo, Ana Kellen Nogueira / Herrera Victoria, Ana María / Paschoal, Ana Maria de Oliveira / Potrich, Ana Paula / Gomes, Ana Paula Nascimento / Olímpio, Ana Priscila Medeiros / Cunha Costa, Ana Raissa / Jácomo, Anah Tereza de Almeida / Calaça, Analice Maria / Jesus, Anamélia Souza / de Barros Barban, Ananda / Feijó, Anderson / Pagoto, Anderson / Rolim, Anderson Claudino / Hermann, Andiara Paula / Souza, Andiara Silos Moraes de Castro E / Chein Alonso, André / Monteiro, André / Mendonça, André Faria / Luza, André Luís / Moura, André Luis Botelho / da Silva, André Luiz Ferreira / Lanna, Andre Monnerat / Antunes, Andre Pinassi / Nunes, André Valle / Dechner, Andrea / Carvalho, Andrea Siqueira / Novaro, Andres Jose / Scabin, Andressa Barbara / Gatti, Andressa / Nobre, Andrezza Bellotto / Montanarin, Anelise / Deffaci, Ângela Camila / de Albuquerque, Anna Carolina Figueiredo / Mangione, Antonio Marcelo / Pinto, Antonio Millas Silva / Mendes Pontes, Antonio Rossano / Bertoldi, Ariane Teixeira / Calouro, Armando Muniz / Fernandes, Arthur / Ferreira, Arystene Nicodemo / Ferreguetti, Atilla Colombo / Rosa, Augusto Lisboa Martins / Banhos, Aureo / Francisco, Beatriz da Silva de Souza / Cezila, Beatriz Azevedo / Beisiegel, Beatriz de Mello / de Thoisy, Benoit / Ingberman, Bianca / Neves, Bianca Dos Santos / Pereira-Silva, Brenda / Bertagni de Camargo, Bruna / Andrade, Bruna da Silva / Santos, Bruna Silva / Leles, Bruno / Torres Parahyba Campos, Bruno Augusto / Kubiak, Bruno Busnello / França, Bruno Rodrigo de Albuquerque / Saranholi, Bruno Henrique / Pereira Mendes, Calebe / Cantagallo Devids, Camila / Pianca, Camila / Rodrigues, Camila / Islas, Camila Alvez / de Lima, Camilla Angélica / de Lima, Camilo Ribeiro / Gestich, Carla Cristina / Tedesco, Carla Denise / De Angelo, Carlos / Fonseca, Carlos / Hass, Carlos / Peres, Carlos A / Kasper, Carlos Benhur / Durigan, Carlos Cesar / Fragoso, Carlos Eduardo / Verona, Carlos Eduardo / Rocha, Carlos Frederico Duarte / Salvador, Carlos Henrique / Vieira, Carlos Leonardo / Ruiz, Carmen Elena Barragán / Cheida, Carolina Carvalho / Sartor, Caroline Charão / Espinosa, Caroline da Costa / Fieker, Carolline Zatta / Braga, Caryne / Sánchez-Lalinde, Catalina / Machado, Cauanne Iglesias Campos / Cronemberger, Cecilia / Luna, Cecília Licarião / Del Vechio, Christine / Bernardo, Christine Steiner S / Hurtado, Cindy Meliza / Lopes, Cíntia M / da Rosa, Clarissa Alves / Cinta, Claudia Cristina / Costa, Claudia Guimaraes / Zárate-Castañeda, Claudia Paola / Novaes, Claudio Leite / Jenkins, Clinton N / Seixas, Cristiana Simão / Martin, Cristiane / Zaniratto, Cristiane Patrícia / López-Fuerte, Cristina Fabiola / da Cunha, Cristina Jaques / De-Carvalho, Crizanto Brito / Chávez, Cuauhtémoc / Santos, Cyntia Cavalcante / Polli, Daiana Jeronimo / Buscariol, Daiane / Carreira, Daiane Cristina / Galiano, Daniel / Thornton, Daniel / Ferraz, Daniel da Silva / Lamattina, Daniela / Moreno, Daniele Janina / Moreira, Danielle Oliveira / Farias, Danilo Augusto / Barros-Battesti, Darci Moraes / Tavares, Davi Castro / Costa Braga, David / Gaspar, Denise Alemar / Friedeberg, Diana / Astúa, Diego / Silva, Diego Afonso / Viana, Diego Carvalho / Lizcano, Diego J / Varela, Diego M / Loretto, Diogo / Gräbin, Diogo Maia / Eaton, Donald P / Machado da Silva, Douglas / Dias, Douglas de Matos / Camara, Edeltrudes Maria Valadares Calaça / Barbier, Eder / Chávez-González, Edgar / Rocha, Ednaldo Cândido / Lima, Edson de Souza / Carrano, Eduardo / Eizirik, Eduardo / Nakano-Oliveira, Eduardo / Rigacci, Eduardo Delgado / Santos, Eduardo Marques / Venticinque, Eduardo Martins / Alexandrino, Eduardo Roberto / Abreu Ribeiro, Edvandro / Setz, Eleonore / Rocha, Eliana César Laranjeira Duarte / Carvalho, Elildo Alves Ribeiro / Rechenberg, Elisabete / Fraga, Elmary da Costa / Mendonça, Eloisa Neves / D'Bastiani, Elvira / Isasi-Catalá, Emiliana / Guijosa-Guadarrama, Emiliano / Ramalho, Emiliano Esterci / González, Enrique / Hasui, Érica / Saito, Erica Naomi / Fischer, Erich / Aguiar, Erick Francisco / Rocha, Erick Sekiama / Martínez Nambo, Erik Daniel / de la Peña-Cuéllar, Erika / Castro, Érika Paula / de Freitas, Evellyn Borges / Pedó, Ezequiel / Rocha, Fabiana Lopes / Girardi, Fabiane / Pereira, Fabiane de Aguiar / Soares, Fábio Angelo Melo / Roque, Fabio de Oliveira / Díaz-Santos, Fabio Gabriel / Patiu, Fabio Mello / do Nascimento, Fabio Oliveira / Keesen Ferreira, Fabíola / Diaz-Santos, Fabricio / Moreli Fantacini, Felipe / Pedrosa, Felipe / Pessoa da Silva, Felipe / Velez-Garcia, Felipe / Gomes, Felipe Bittioli R / Guedes da Silva, Fernanda / Michalski, Fernanda / de Azevedo, Fernanda Cavalcanti / de Barros, Fernanda Cristina / Santos, Fernanda da Silva / Abra, Fernanda Delborgo / Ramalho, Fernanda do Passo / Hatano, Fernanda Martins / Anaguano-Yancha, Fernando / Gonçalves, Fernando / Pedroni, Fernando / Passos, Fernando C / Jacinavicius, Fernando de Castro / Bonfim, Fernando César Gonçalves / Puertas, Fernando Henrique / Contreras-Moreno, Fernando M / Tortato, Fernando Rodrigo / Santos, Filipe Martins / Chaves, Flávia Guimarães / Tirelli, Flavia Pereira / Vilas Boas, Flávio Eduardo / Rodrigues, Flavio Henrique Guimarães / Ubaid, Flávio Kulaif / Grotta-Neto, Francisco / Palomares, Francisco / Souza, Franco Leandro / Costa, Francys Emanuelle / França, Frederico G R / Ramírez Pinto, Fredy / Aguiar, Gabriel Lima / Hofmann, Gabriel Selbach / Heliodoro, Gabriela / Duarte, Gabriela Teixeira / Ribeiro de Andrade, Gabrielle / Beca, Gabrielle / Zapata-Ríos, Galo / Giné, Gastón Andrés Fernandez / Powell, George V N / Wilson Fernandes, Geraldo / Forero-Medina, German / Melo, Geruza L / Santana, Gindomar Gomes / Ciocheti, Giordano / Alves, Giselle Bastos / Souto, Glauber Henrique Borges de Oliveira / Villarroel, Glenda Jéssica / Porfirio, Grasiela Edith de Oliveira / Batista, Graziele Oliveira / Behling, Greici Maia / Ayala Crespo, Guido Marcos / Mourão, Guilherme de Miranda / Rezende, Guilherme Zamarian / Toledo, Gustavo Alves da Costa / Herrera, Heitor Miraglia / Alves Prado, Helena / Bergallo, Helena de Godoy / Secco, Helio / Rajão, Henrique / Roig, Henrique Llacer / Concone, Henrique Villas Boas / Duarte, Herbert / Ermenegildo, Hiago / Ferreira Paulino Neto, Hipólito / Quigley, Howard / Lemos, Hudson Macedo / Cabral, Hugo / Fernandes-Ferreira, Hugo / Del Castillo, Hugo Fernando / Ribeiro, Igor Kintopp / Coelho, Igor Pfeifer / Franceschi, Ingridi Camboim / Melo, Isabel / Oliveira-Bevan, Isabella / Mourthe, Italo / Bernardi, Itiberê / de la Torre, J Antonio / Marinho-Filho, Jader / Martinez, Jaime / Palacios Perez, Jaime Xavier / Pérez-Torres, Jairo / Bubadué, Jamile / Silveira, Jana Rangel / Seibert, Jardel Brandão / Oliveira, Jasmim Felipe / Assis, Jasmine Resende / De la Maza, Javier / Hinojosa, Javier / Metzger, Jean Paul / Thompson, Jeffrey James / Svenning, Jens-Christian / Gouvea, Jéssica Abonizio / Souza, Jesus Rodrigues Domingos / Pincheira-Ulbrich, Jimmy / Nodari, Joana Zorzal / Miranda, João / Zecchini Gebin, João Carlos / Giovanelli, João Gabriel Ribeiro / Rossi Junior, João Luiz / Pandini Favoretti, João Paulo / Villani, João Paulo / Just, João Paulo Gava / Souza-Alves, João Pedro / Costa, Jociel Ferreira / Rocha, Joedison / Polisar, John / Sponchiado, Jonas / Cherem, Jorge José / Marinho, Jorge Reppold / Ziegler, Jörn / Cordeiro, José / de Sousa E Silva Júnior, José / Rodriguez-Pulido, Jose Ariel / Chaves Dos Santos, José Carlos / Dos Reis Júnior, José Clemensou / Mantovani, Jose Eduardo / Moreira Ramírez, José Fernando / Sarasola, José Hernán / Cartes, Jose Luis / Duarte, José Maurício Barbanti / Longo, Jose Milton / Dantas, José Oliveira / Venancio, José Otávio / de Matos, Jose Roberto / Pires, José Salatiel Rodrigues / Hawes, Joseph E / Santos, Joyce Gonçalves / Ruiz-Esparza, Juan / Martínez Lanfranco, Juan Andrés / Rudolf, Juan Carlos / Charre-Medellin, Juan Felipe / Zanón-Martínez, Juan Ignacio / Peña-Mondragón, Juan L / Campos Krauer, Juan Manuel / Arrabal, Juan Pablo / Beduschi, Julia / Ilha, Júlia / Mata, Julia Carolina / Bonanomi, Juliana / Jordao, Juliana / de Almeida-Rocha, Juliana Monteiro / Pereira-Ribeiro, Juliane / Zanoni, Juliani Bruna / Bogoni, Juliano André / Chacón Pacheco, Julio Javier / Contreras Palma, Kamila Marianne / Strier, Karen B / Rodriguez Castro, Karen Giselle / Didier, Karl / Schuchmann, Karl L / Chávez-Congrains, Karla / Burs, Kathrin / Ferraz, Katia M P M B / Juarez, Keila Macfadem / Flesher, Kevin / Morais, Kimberly Danielle Rodrigues / Lautenschlager, Laís / Grossel, Laís Aline / Dahmer, Lais Camila / de Almeida, Lana Resende / Fornitano, Larissa / Barbosa, Larissa de Nazaré Barros / Bailey, Larissa L / Barreto, Larissa Nascimento / Villalba, Laura Magnolia / Magalhães, Laura Martins / Cullen, Laury / Marques, Leandro / Marques Costa, Leonardo / Silveira, Leandro / Moreira, Leandro Santana / Sartorello, Leonardo / Oliveira, Leonardo de Carvalho / Gomes, Leonardo de Paula / Aguiar, Leonardo Dos Santos / da Silva, Leonardo Henrique / Mendonça, Leonardo Siqueira / Valenzuela, Leonor Adriana / Benavalli, Letícia / Dias, Leticia Coutinho Sangy / Munhoes, Leticia Prado / Catenacci, Lilian / Rampim, Lilian Elaine / de Paula, Lívia Maria / Nascimento, Lorena Anne / Gonçalves da Silva, Lucas / Quintilham, Lucas / Ramis Segura, Lucas / Perillo, Lucas Neves / Rezende, Lucas Rodrigo / Martínez Retta, Lucía / Rojas, Lucia Nathaly Stefany / Guimarães, Luiza Neves / Araújo, Luciana / Zago da Silva, Luciana / Querido, Luciano Carramaschi de Alagão / Verdade, Luciano Martins / Perera-Romero, Lucy E / Carvalho-Leite, Ludimila Juliele / Hufnagel, Ludmila / Rezende Bernardo, Luis Renato / Oliveira, Luiz Flamarion / Oliveira Santos, Luiz Gustavo Rodrigues / Lyra, Luiz Henrique / Borges, Luiz Henrique Medeiros / Severo, Magnus Machado / Benchimol, Maíra / Quatrocchi, Maira Giuliana / Martins, Maísa Ziviani Alves / Rodrigues, Manoel / Penteado, Marcel José Franco / Figuerêdo Duarte Moraes, Marcela / Oliveira, Marcela Alvares / Lima, Marcela Guimarães Moreira / Pônzio, Marcella do Carmo / Cervini, Marcelo / da Silva, Marcelo / Passamani, Marcelo / Villegas, Marcelo Alejandro / Dos Santos Junior, Marcelo Augusto / Yamane, Marcelo Hideki / Jardim, Marcia Maria de Assis / Leite de Oliveira, Márcio / Silveira, Marcos / Tortato, Marcos Adriano / Figueiredo, Marcos de Souza Lima / Vieira, Marcus Vinícius / Sekiama, Margareth L / Andrade da Silva, Maria Augusta / Nuñez, María Beatriz / Siviero, Maria Brunini / Carrizo, María Celina / Barros, Maria Claudene / Barros, Marília A S / do Rosário, Maria Cristina Ferreira / Peñuela Mora, María Cristina / Fleytas Jover, Maria Del Carmen / Morandi, Maria Elisa de Freitas / Huerta, Maria Emilia / Fernandes, Maria Emília Avelar / Viscarra Siñani, Maria Estela / Iezzi, María Eugenia / Ramos Pereira, Maria João / Gomez Vinassa, Maria Laura / Lorini, Maria Lucia / Jorge, Maria Luisa S P / Morini, Maria Santina / Guenther, Mariana / Landis, Mariana Bueno / Vale, Mariana M / Xavier, Mariana Sampaio / Tavares, Mariana Silva / Kaizer, Mariane / Velilla, Marianela / Bergel, Mariano Maudet / Hartmann, Marilia Teresinha / Lima da Silva, Marina / Rivero, Marina / Salles Munerato, Marina / Xavier da Silva, Marina / Zanin, Marina / Marques, Marinêz Isaac / Haberfeld, Mario / Di Bitetti, Mario S / Bowler, Mark / Galliez, Maron / Ortiz-Moreno, Martha Lucia / Buschiazzo, Martin / Montes, Martin Alejandro / Alvarez, Martín R / Melo-Dias, Mateus / Reis, Matheus Gonçalves / Corrêa, Matheus Rocha Jorge / Tobler, Mathias W / Gompper, Matthew E / Nunez-Regueiro, Mauricio / Brandão Vecchi, Maurício / Graipel, Maurício Eduardo / Godoi, Mauricio Neves / Moura, Mauricio O / Konzen, Maurício Quoos / Pardo, Maximiliano Víctor / Beltrão, Mayara Guimarães / Mongelli, Melissa / Almeida, Meyline Oliveira / Gilmore, Michael P / Schutte, Michel / Faria, Michel Barros / Luiz, Micheli Ribeiro / de Paula, Milton / Hidalgo-Mihart, Mircea G / Perilli, Miriam Lucia Lages / Freitas-Junior, Mozart Caetano / da Silva, Murillo Prado / Denkiewicz, Natalia Mariana / Torres, Natalia Mundim / Olifiers, Natalie / De Lima, Natani Da Silva / de Albuquerque, Natasha Moraes / Canassa, Nathália Fernandes / de Almeida Curi, Nelson Henrique / Prestes, Nêmora Pauletti / Falconi, Nereyda / Gurgel-Filho, Newton Mota / Pasqualotto, Nielson / Cáceres, Nilton C / Peroni, Nivaldo / de la Sancha, Noé U / Zanella, Noeli / Monroy-Vilchis, Octavio / Pays, Olivier / Arimoro, Omolabake Alhambra / Ribeiro, Otávio Santi / Villalva, Pablo / Gonçalves, Pablo Rodrigues / Santos, Paloma Marques / Brennand, Pamella / Rocha, Patrício / Akkawi, Paula / Cruz, Paula / Ferreira, Paula Modenesi / Prist, Paula Ribeiro / Martin, Paula Sanches / Arroyo-Gerala, Paulina / Auricchio, Paulo / Hartmann, Paulo Afonso / Antas, Paulo de Tarso Zuquim / Camargo, Paulo H S A / Marinho, Paulo Henrique / Ruffino, Paulo Henrique Peira / Prado, Paulo Inácio / Martins, Paulo Wesley / Cordeiro-Estrela, Pedro / Luna, Pedro / Sarmento, Pedro / Faria Peres, Pedro Henrique / Galetti, Pedro Manoel / de Castilho, Pedro Volkmer / Renaud, Pierre-Cyril / Scarascia, Pietro Oliveira / Cobra, Priscilla De Paula Andrade / Lombardi, Pryscilla Moura / Bessa, Rafael / Reyna-Hurtado, Rafael / de Souza, Rafael Cerqueira Castro / Hoogesteijn, Rafael Jan / Alves, Rafael Souza Cruz / Romagna, Rafael Spilere / Silva, Ramon Lima / de Oliveira, Ramonna / Beltrão-Mendes, Raone / Alencar, Raony de Macêdo / Coutinho, Raphaella / da Silva, Raquel Costa / Caribé Grando, Raquel L S C / Matos, Rayanne Gama / Araujo, Raylenne da Silva / Pedroso, Rayssa Faria / Durães, Rayssa Mainette Nantes / Ribeiro, Renan Lieto Alves / Chagas, Renata / Miotto, Renata / Twardowsky Ramalho Bonikowski, Renata / Muylaert, Renata Lara / Pagotto, Renata Valls / Hilário, Renato Richard / Faria, Rhayssa Terra / Bassini-Silva, Ricardo / Sampaio, Ricardo / Sartorello, Ricardo / Pires, Ricardo Araújo / Hatakeyama, Richard / Bianchi, Rita de Cassia / Buitenwerf, Robert / Wallace, Robert / Paolino, Roberta Montanheiro / Fusco-Costa, Roberto / Trovati, Roberto Guilherme / Tomasi, Roberto Junior / Espíndola Hack, Robson Odeli / Magalhães, Rodolfo Assis / Nobrega, Rodrigo Affonso de Albuquerque / Nobre, Rodrigo de Almeida / Massara, Rodrigo Lima / Fróes, Rodrigo Medina / Araújo, Rodrigo Paulo da Cunha / León Pérez, Rodrigo Raúl / Jorge, Rodrigo Silva Pinto / de Paula, Rogério Cunha / Martins, Rogério / da Cunha, Rogério Grassetto Teixeira / Costa, Rômulo / Alves, Romulo Romeu Nobrega / Garcia-Anleu, Rony / Santos Almeida, Rony Peterson / Cueva Loachamín, Rubén Darío / Andrade, Rúbia Santana / Juárez, Rugieri / Bordallo, Samanta Uchôa / Guaragni, Samara Arsego / Carrillo-Percastegui, Samia E / Seber, Samile / Astete, Samuel / Hartz, Sandra Maria / Espinosa, Santiago / Álvarez Solas, Sara / Ramos Lima, Saulo / Silvestre, Saulo Meneses / Machado, Sávio Augusto de Souza / Keuroghlian-Eaton, Sean / Albanesi, Sebastian / Costa, Sebastián Andrés / Bazilio, Sergio / Mendes, Sergio Lucena / Althoff, Sérgio Luiz / Pinheiro, Shery Duque / Napiwoski, Silvio Junior / Fernández Ramirez, Sixto / Talamoni, Sonia Aparecida / Age, Stefani Gabrieli / Pereira, Taiguã Corrêa / Moreira, Tainah Cruz / Trigo, Tatiane Campos / Gondim, Tayana Mendonça da Silva / Karlovic, Thamíris Christina / Cavalcante, Thiago / Maccarini, Thiago / Rodrigues, Thiago Ferreira / de Camargo E Timo, Thiago Philipe / Monterrubio, Tiberio Cesar / Piovezan, Ubiratan / Cavarzere, Vagner / Towns, Valeria / Onofrio, Valeria Castilho / Oliveira, Valeska Buchemi / Araújo, Valquíria Cabral / Melo, Vanessa Lazaro / Kanaan, Vanessa Tavares / Iwakami, Victor / Vale, Victor / Picinatto Filho, Vilmar / Alberici, Vinicius / Bastazini, Vinicius A G / Orsini, Vinícius Santana / Braz, Vivian da Silva / Rojas Bonzi, Viviana B / Guedes Layme, Viviane Maria / Gaboardi, Viviane Telles Rodrigues / Rocha, Vlamir José / Martins, Waldney Pereira / Tomas, Walfrido Moraes / Hannibal, Wellington / Dáttilo, Wesley / Silva, Wesley R / Endo, Whaldener / Bercê, William / Bravata de la Cruz, Yaribeth / Ribeiro, Yuri Geraldo Gomes / Galetti, Mauro / Ribeiro, Milton C

    Ecology

    2020  Volume 101, Issue 11, Page(s) e03128

    Abstract: Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide ... ...

    Abstract Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data.
    MeSH term(s) Animals ; Canidae ; Carnivora ; Ecosystem ; Humans ; Mustelidae ; Ursidae
    Language English
    Publishing date 2020-08-31
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2010140-5
    ISSN 1939-9170 ; 0012-9658
    ISSN (online) 1939-9170
    ISSN 0012-9658
    DOI 10.1002/ecy.3128
    Database MEDical Literature Analysis and Retrieval System OnLINE

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