Parkinson’s disease image analysis

R. I. Rojas-Jiménez; A. Muñoz-Diosdado; J. A. Martínez-Castro; M. Rubio-Osornio

doi:10.1063/5.0051207

Parkinson’s disease image analysis

R. I. Rojas-Jiménez, A. Muñoz-Diosdado, J. A. Martínez-Castro, M. Rubio-Osornio

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Parkinson’s disease (PD) is often related to motor symptoms, this neurological disorder involves multiple and complex factors including age, genetics, and dopamine production. These factors leave a trail in substantia nigra (SN), observed as abnormal iron aggregates in ventral midbrain area sections, obtained from adult male Wistar rats. Understanding the iron accumulation process increases the knowledge underlying the neurodegenerative causes. This is achieved by using modern computational tools to directly analyze experimental data. Merging these disciplines creates new areas of study and innovation.

Original language	English
Title of host publication	Proceedings of the XVI Mexican Symposium on Medical Physics
Editors	Ivan Miguel Rosado-Mendez, Mariana Hernandez-Bojorquez, Jose Hector Morales-Barcenas, Paulina Esther Galavis, Mariela Adelaida Porras-Chaverri
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735440944
DOIs	https://doi.org/10.1063/5.0051207
State	Published - 30 Apr 2021
Event	16th Mexican Symposium on Medical Physics, MSOMP 2020 - Merida, Mexico Duration: 26 Oct 2020 → 30 Oct 2020

Publication series

Name	AIP Conference Proceedings
Volume	2348
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	16th Mexican Symposium on Medical Physics, MSOMP 2020
Country/Territory	Mexico
City	Merida
Period	26/10/20 → 30/10/20

Keywords

Computational tools
Iron aggregates
Neurodegenerative diseases
Parkinson’s disease

Access to Document

10.1063/5.0051207

Cite this

Rojas-Jiménez, R. I., Muñoz-Diosdado, A., Martínez-Castro, J. A., & Rubio-Osornio, M. (2021). Parkinson’s disease image analysis. In I. M. Rosado-Mendez, M. Hernandez-Bojorquez, J. H. Morales-Barcenas, P. E. Galavis, & M. A. Porras-Chaverri (Eds.), Proceedings of the XVI Mexican Symposium on Medical Physics Article 0051207 (AIP Conference Proceedings; Vol. 2348). American Institute of Physics Inc.. https://doi.org/10.1063/5.0051207

Rojas-Jiménez, R. I. ; Muñoz-Diosdado, A. ; Martínez-Castro, J. A. et al. / Parkinson’s disease image analysis. Proceedings of the XVI Mexican Symposium on Medical Physics. editor / Ivan Miguel Rosado-Mendez ; Mariana Hernandez-Bojorquez ; Jose Hector Morales-Barcenas ; Paulina Esther Galavis ; Mariela Adelaida Porras-Chaverri. American Institute of Physics Inc., 2021. (AIP Conference Proceedings).

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abstract = "Parkinson{\textquoteright}s disease (PD) is often related to motor symptoms, this neurological disorder involves multiple and complex factors including age, genetics, and dopamine production. These factors leave a trail in substantia nigra (SN), observed as abnormal iron aggregates in ventral midbrain area sections, obtained from adult male Wistar rats. Understanding the iron accumulation process increases the knowledge underlying the neurodegenerative causes. This is achieved by using modern computational tools to directly analyze experimental data. Merging these disciplines creates new areas of study and innovation.",

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Rojas-Jiménez, RI, Muñoz-Diosdado, A , Martínez-Castro, JA & Rubio-Osornio, M 2021, Parkinson’s disease image analysis. in IM Rosado-Mendez, M Hernandez-Bojorquez, JH Morales-Barcenas, PE Galavis & MA Porras-Chaverri (eds), Proceedings of the XVI Mexican Symposium on Medical Physics., 0051207, AIP Conference Proceedings, vol. 2348, American Institute of Physics Inc., 16th Mexican Symposium on Medical Physics, MSOMP 2020, Merida, Mexico, 26/10/20. https://doi.org/10.1063/5.0051207

Parkinson’s disease image analysis. / Rojas-Jiménez, R. I.; Muñoz-Diosdado, A.; Martínez-Castro, J. A. et al.
Proceedings of the XVI Mexican Symposium on Medical Physics. ed. / Ivan Miguel Rosado-Mendez; Mariana Hernandez-Bojorquez; Jose Hector Morales-Barcenas; Paulina Esther Galavis; Mariela Adelaida Porras-Chaverri. American Institute of Physics Inc., 2021. 0051207 (AIP Conference Proceedings; Vol. 2348).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2021/4/30

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AB - Parkinson’s disease (PD) is often related to motor symptoms, this neurological disorder involves multiple and complex factors including age, genetics, and dopamine production. These factors leave a trail in substantia nigra (SN), observed as abnormal iron aggregates in ventral midbrain area sections, obtained from adult male Wistar rats. Understanding the iron accumulation process increases the knowledge underlying the neurodegenerative causes. This is achieved by using modern computational tools to directly analyze experimental data. Merging these disciplines creates new areas of study and innovation.

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Rojas-Jiménez RI, Muñoz-Diosdado A , Martínez-Castro JA, Rubio-Osornio M. Parkinson’s disease image analysis. In Rosado-Mendez IM, Hernandez-Bojorquez M, Morales-Barcenas JH, Galavis PE, Porras-Chaverri MA, editors, Proceedings of the XVI Mexican Symposium on Medical Physics. American Institute of Physics Inc. 2021. 0051207. (AIP Conference Proceedings). doi: 10.1063/5.0051207

Parkinson’s disease image analysis

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