MPHYGB13: Foundations of Anatomy and Scientific Computing

Course Information

Course Credits
Term 1
Assessment Coursework
Course Organiser
Dr David Atkinson

Aims and Objectives

Brief Syllabus

Anatomy and Physiology

This course provided by the UCL Anatomy Department specifically for students on the MSc's in the Medical Physics Department. The course comprises of lectures and dissecting room demonstrations. Topics covered include:

  • Organisation of the Body: Anatomical Planes and Terms, body cavities, abdominopelvic regions, cells tissues and organs, body systems.
  • Development and Homeostasis: Gamete formation, fertilisation, implantation, embryonic and fetal development, birth and lactation, growth and ageing. Homeostasis.
  • Nervous system:nervous tissue, signalling, reflex, nerve impulse, action potential, synapses, neurotransmitters. Central, peripheral, autonomic, sympathetic, parasympathetic nervous systems. 
  • Endocrine system: glands, hypothalamus, pituitary, thyroid, hormones, pancreas, adrenal.
  • Locomotor system: bones, skeleton, joints, joint spaces, muscle types, fibres, myofibrils, sarcomeres.
  • Cardiovascular System: Heart, circulation, blood vessels, hepatic system, blood pressure, lymphatic system.
  • Respiratory System: Respiratory tract and tree, alveoli, pharynx, larynx, inspiration and expiration.
  • Digestive and urinary systems: mouth, stomach, duodenum, small intestine, pancreas, liver,large intestine, colon, kidneys.

Scientific Computing

This course is specific to students on the MSc in Medical Image Computing. It covers areas of Scientific Computing relevant to medical imaging, using MATLAB for examples and coursework. Topics include:

  • MATLAB, 
  • linear algebra: matrices, matrix factorization, example from MRI parallel imaging,
  • signal processing: filtering, Fourier and sampling theory,
  • image interpolation,
  • Eigenvalue decomposition, singular value decomposition, principal component analysis, diffusion tensor imaging,
  • radiological coordinate systems, geometrical transformations, geometrical information in DICOM files, positioning of images in 3D patient coordinates
  • data fitting: linear and non-linear
  • optimisation: least-squares non-linear, Levenberg-Marquardt.


Anatomy: coursework, multiple choice questions and dissecting-room spot test Scientific computing: coursework