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Advancements in Micro-CT Image Analysis Framework for the MI-CT Repository
Bone is a metabolically active, rigid connective tissue that provides structural support, facilitates movement, and protects vital organs. Micro-computed tomography (micro-CT) is a widely employed imaging technology to gain deeper insights into bone structure and function. We have recently introduced the mi-CT image data repository, an open-access platform dedicated to biomedical images obtained from micro-CT scans within our research group (https://www.mi-ct.ethz.ch/). This repository aims to facilitate research by developing an efficient online image management system, making the data easily accessible. Achieving open access to these tools necessitates the creation of interfaces between the online platform and existing Python-based preprocessing software.
Bone is a metabolically active, rigid connective tissue that provides structural support, facilitates movement, and protects vital organs. To gain deeper insights into bone structure and function, micro-computed tomography (micro-CT) is a widely employed imaging technology. We have recently introduced the mi-CT image data repository, an open-access platform dedicated to biomedical images obtained from micro-CT scans within our research group (https://www.mi-ct.ethz.ch/). This repository aims to facilitate research by developing an efficient online image management system, making the data easily accessible. Achieving open access to these tools necessitates the creation of interfaces between the online platform and existing Python-based preprocessing software.
This student project's primary objective is to improve the framework for the mi-CT repository, encompassing image processing and analysis pipelines. The development will leverage state-of-the-art tools and techniques to create interfaces connecting the mi-CT repository with implementing existing preprocessing and analysis pipelines, ensuring maximum efficiency and scalability.
Bone is a metabolically active, rigid connective tissue that provides structural support, facilitates movement, and protects vital organs. To gain deeper insights into bone structure and function, micro-computed tomography (micro-CT) is a widely employed imaging technology. We have recently introduced the mi-CT image data repository, an open-access platform dedicated to biomedical images obtained from micro-CT scans within our research group (https://www.mi-ct.ethz.ch/). This repository aims to facilitate research by developing an efficient online image management system, making the data easily accessible. Achieving open access to these tools necessitates the creation of interfaces between the online platform and existing Python-based preprocessing software. This student project's primary objective is to improve the framework for the mi-CT repository, encompassing image processing and analysis pipelines. The development will leverage state-of-the-art tools and techniques to create interfaces connecting the mi-CT repository with implementing existing preprocessing and analysis pipelines, ensuring maximum efficiency and scalability.
This student project's primary objective is to improve the framework for the mi-CT repository, encompassing image processing and analysis pipelines. The development will leverage state-of-the-art tools and techniques to create interfaces connecting the mi-CT repository with implementing existing preprocessing and analysis pipelines, ensuring maximum efficiency and scalability.
**What we expect:**
• You have a Bachelor's or Master's degree in Bioinformatics, Data Science, Systems Biology, Physics, Mathematics, or any other relevant discipline
• Strong knowledge and interest in image analysis, machine learning, data mining, statistics, and quantitative data analysis
• Working knowledge in Python, Shell scripting, Javascript and Parallel computing)
• Strong communication and writing skills, and ability to work in interdisciplinary group
This student project's primary objective is to improve the framework for the mi-CT repository, encompassing image processing and analysis pipelines. The development will leverage state-of-the-art tools and techniques to create interfaces connecting the mi-CT repository with implementing existing preprocessing and analysis pipelines, ensuring maximum efficiency and scalability.
**What we expect:**
• You have a Bachelor's or Master's degree in Bioinformatics, Data Science, Systems Biology, Physics, Mathematics, or any other relevant discipline
• Strong knowledge and interest in image analysis, machine learning, data mining, statistics, and quantitative data analysis
• Working knowledge in Python, Shell scripting, Javascript and Parallel computing)
• Strong communication and writing skills, and ability to work in interdisciplinary group
Contact details: Please email me for more detailed information about the project or reach out in person at Gloriastrasse-37/39, GLC-H 20.1, 8092 Zürich, Switzerland.
Email: amit.singh@hest.ethz.ch
LinkedIn: https://www.linkedin.com/in/amit-singh-63373417/
Published: Earliest start: 2023-9-25 , Latest end: 2024-03-31
Organization: Müller Group/Laboratory for Bone Biomechanics, Institute for Biomechanics, ETH, Zürich
Hosts: Dr. Amit Singh
Contact details: Please email me for more detailed information about the project or reach out in person at Gloriastrasse-37/39, GLC-H 20.1, 8092 Zürich, Switzerland.
Each year the IDEA League offers the students of its partner universities over 180 monthly grants for a short-term research exchange. In general, these grants are awarded based on academic merit. For more information visit http://idealeague.org/student-grant/
ETH for Development (ETH4D) aims to develop innovations that are directly relevant to improving the livelihoods of people in low-resource settings and to educate future leaders in sustainable development.
