HYBRID EVENT: You can participate in person at Boston, Massachusetts, USA or Virtually from your home or work.

13th Edition of International Conference on Neurology and Brain Disorders

October 19-21, 2026

October 19 -21, 2026 | Boston, Massachusetts, USA

Computational anatomy

Computational anatomy

Computational anatomy is a field of study that uses mathematical models, computing techniques, and imaging technologies to quantify biological structures and processes. By integrating data from various sources, Computational Anatomy can provide a deep understanding of complex biological mechanisms. The most common form of Computational Anatomy techniques is used to study anatomy and tissue types. Here, the researcher will collect data from multiple sources such as magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), and ultrasound images. The images and data can then be processed to measure the anatomy of an area of interest. This type of analysis can reveal detailed information such as organ shape, size, and location. Computational Anatomists also employ a range of other techniques, such as biomechanics, to analyse complex biological systems. In biomechanics, physical models are used to simulate and understand the interactions between muscle forces, joint mobility, and the laws of mechanics. This of data helps to predict the effects of changes in anatomical structures on movement. Computational anatomy can also be applied to gene expression data. Through programs such as Gene MANIA, it is possible to study gene networks and their interactions with each other. This allows researchers to investigate the roles of specific genes in development, disease, and evolution. Finally, Computational Anatomy is used to model and simulate the response of biological systems to external influences. In this way, researchers can explore the effects of drugs, treatments, and environmental stimuli on the human body. This can help to identify effective strategies to diagnose or treat a wide range of medical conditions. Computational anatomy is an incredibly useful tool in understanding and quantifying complex biological systems. By collecting and analysing data from multiple sources, researchers can gain a better understanding of how a structure or process works, and the role it plays in overall function. Thus, Computational Anatomy can help in the development of improved therapies, drugs, and approaches to diagnostics.

 

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