Advanced Medical Image Acquisition

IIDS67552 Advanced Medical Image Acquisition 15 Semester 2 Postgraduate Taught Level 7 Rainer Hinz Unit coordinator Ben Dickie Unit coordinator Division of Informatics, Imaging and Data Sciences 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 This second semester unit is offered to students from two postgraduate taught programmes in the School of Health Sciences<ul><li>MSc Applied AI for Medical Imaging and</li><li>MSc Neuroimaging for Clinical & Cognitive Neuroscience</li></ul>bringing together MSc students with different backgrounds and interests to create a unique multidisciplinary learning environment.In the unit, two medical imaging modalities<ul><li>Positron Emission Tomography (PET)</li><li>Magnetic Resonance Imaging (MRI)</li></ul>are covered providing in depth knowledge on the technical side of data acquisition and processing alongside a series of imaging applications in neuroscience, medicine (neurology, psychiatry and neuro-oncology) and central nervous system drug development. The focus is on quantitative imaging of the human brain.  This second semester unit is offered to students from two postgraduate taught programmes in the School of Health Sciences<ul><li>MSc Applied AI for Medical Imaging and</li><li>MSc Neuroimaging for Clinical & Cognitive Neuroscience</li></ul>bringing together MSc students with different backgrounds and interests to create a unique multidisciplinary learning environment.In the unit, two medical imaging modalities<ul><li>Positron Emission Tomography (PET)</li><li>Magnetic Resonance Imaging (MRI)</li></ul>are covered providing in depth knowledge on the technical side of data acquisition and processing alongside a series of imaging applications in neuroscience, medicine (neurology, psychiatry and neuro-oncology) and central nervous system drug development. The focus is on quantitative imaging of the human brain.  The unit aims to:<ul><li>provide the student with knowledge of the breadth and depth of what can be done using Positron Emission Tomography (PET), with emphasis on the methods available and their application to study the normal and diseased brain,</li><li>provide a suitable depth of knowledge regarding quantification of brain PET images that enables the student to understand and appraise the PET imaging literature,</li><li>to equip students with a comprehensive understanding of the basic principles of magnetic resonance image (MRI) formation in terms of the underlying physics,</li><li>to develop an awareness of the range of MR techniques for quantitative imaging and selected clinical and research applications for the brain,</li><li>to enhance the students’ abilities in experimental research methods including critical appraisal of scientific literature and data acquisition, analysis and reporting, providing a foundation for further research and employment in academic or industrial settings. </li></ul> Students should be able to:1.1 Describe and explain the different types of PET scans that can be conducted and the quantification methods used to extract physiological parameters.1.2 Analyse and appraise the characteristics and limitations of PET data acquisition and processing.1.3 Distinguish and compare different applications in neuroimaging using PET and MRI scanning.1.4 Distinguish between and discuss the physical origin of differing MR contrast mechanisms.1.5 Describe and explain specific techniques in MR brain imaging for extracting quantitative MR data such as diffusion tensor imaging and arterial spin labelling.1.6 Understand and apply modelling techniques to extract physiologically relevant parameters from quantitative MR data.1.7 Appreciate the relative merits of quantitative MR imaging over more standard clinical images.  Students should be able to:2.1 Critically read, understand and appraise the PET methods used and reported within literature.2.2 Make informed judgements on the methodological strengths of published work using PET imaging.2.3 Communicate meaningfully with PET experts.  2.4 Apply the concepts of k-space and pulse sequences to evaluate MR image acquisition strategies and sources of image artefacts.2.5 Understand how modelling techniques can be used to extract physiologically relevant parameters from quantitative MR data.2.6 Synthesise and evaluate information from online and library resources and formulate a concise summary and appraisal.2.7 Devise an appropriate experimental strategy and analyse and evaluate experimental results in order to suggest modifications or improvements.  Students should be able to: 3.1 Communicate and interpret results using PET and MR imaging methods and neuroimaging applications.3.2 Design and execute MR experiments in the brain to obtain quantitative data.  3.3 Use appropriate software to process MR images and analyse data.3.4 Write experimental reports clearly and comprehensibly in accepted scientific format.  Students will be able to: 4.1 Advance oral presentation and writing skills relating to complex scientific concepts and procedures.4.2 Excel in proactively locating information and knowledge from multiple sources.4.3 Develop teamwork skills through the interaction and exchange of knowledge with other students.4.4 Develop skills in applying multidisciplinary subject knowledge.4.5 Manage time and work to deadlines.  This unit is delivered via blended learning running over 6 weeks in the first half of semester 2 with a nominal 25 hours / week student work. Two days of the week were timetabled for this unit, for example Tuesdays for the PET imaging sessions and Fridays for the MR imaging sessions.<ul><li>Asynchronous learning through SoftChalk lessons or prerecorded presentations provided on Canvas equals to 6 hours of direct study time per week (6 x 6 h = 36 h).</li><li>Synchronous learning in class room accounts for 4 hours of direct teaching time per week. Two hours of teaching per week are provided in classroom lectures (6 x 2 h = 12 h). A further 2 hours per week are used for in class seminars dedicated to group activities such as camera design exercises, image problem clinics, PET dynamic data analysis examples, critical group presentations of original PET research papers and MRI lab report preparation (6 x 2 h = 12 h).</li><li>15 hours per week are allocated to independent study including the preparation of the research paper review presentations, the write up of the lab report, the revision of the lectures and further practice after the taught components (6 x 15 h= 90 h).</li><li>Past exam questions are be posted on Canvas and two dedicated exam revision session are offered at the end of semester 2 before the beginning of the exam period where the answers of the students to the past exam questions are discussed. </li></ul> <figure class="table"><table style="border-style:solid;"><tbody><tr><td>Assessment task/method</td><td>Length</td><td>Weighting within unit</td></tr><tr><td>Formative:Critical group (around 3 MSc students each) presentation of an original PET research paper (ILOs 1.3, 2.1, 2.2, 2.3, 2.6, 2.7, 3.1, 4.1, 4.2, 4.3, 4.4, 4.5) </td><td>30 minutes (including questions)</td><td>0%</td></tr><tr><td>Summative:Practical MRI lab report (ILOs 2.6, 2.7, 3.1, 3.2, 3.3, 3.4, 4.1, 4.3, 4.5) </td><td>1500 words</td><td>35%</td></tr><tr><td>Summative:End of course written open book exam (Assesses ILOs 1.1 - 1.7 and 2.1 - 2.5) </td><td>90 minutes</td><td>65%</td></tr></tbody></table></figure> Formative: Verbal feedback and model answers provided in class.Summative: Feedback will be provided within 3 weeks after marking. For the MSc Applied AI for Medical Imaging programme, the semester 1 unit Medical Image Acquisition is a pre-requisite.  For the MSc Neuroimaging for Clinical & Cognitive Neuroscience programme, the semester 1 unit Neuroimaging Techniques is a pre-requisite for selecting this optional unit in semester 2.  MSc Applied AI for Med Imaging MSc Applied AI for Med Imaging Not Set Mandatory N <a href="https://manchester.alma.exlibrisgroup.com/leganto/public/44MAN_INST/lists/317612908700001631?auth=CAS" target="_blank">Advanced PET Imaging Course Books</a><ol><li><a href="https://link-springer-com.manchester.idm.oclc.org/book/10.1007/b136169" target="_blank">Positron Emission Tomography : Basic Sciences </a> by Dale L Bailey, David W Townsend, Peter E Valk, Michael N Maisey (editors), Springer-Verlag London 2005, eBook ISBN 978-1-84628-007-8.</li><li><a href="https://link-springer-com.manchester.idm.oclc.org/book/10.1007/1-84628-187-3">Positron Emission Tomography : Clinical Practice</a> by Peter E. Valk, Dominique Delbeke, Dale L. Bailey, David W. Townsend, Michael N. Maisey  (editors), Springer-Verlag London 2006 , eBook ISBN 978-1-84628-187-7.</li><li><a href="https://link-springer-com.manchester.idm.oclc.org/book/10.1007/0-387-34946-4">PET : Physics, Instrumentation, and Scanners</a> by Simon R. Cherry, Magnus Dahlbom (authors), Michael E. Phelps  (editor), Springer-Verlag New York 2006, eBook ISBN 978-0-387-34946-6.</li><li><a href="https://link-springer-com.manchester.idm.oclc.org/book/10.1007/978-3-030-53168-3" target="_blank">PET and SPECT in neurology</a> by Rudi A. J. O. Dierckx, Andreas Otte, Erik F. J. de Vries, Aren van Waarde, Klaus L. Leenders (editors), Springer Nature Switzerland AG 2021, eBook ISBN 978-3-030-53168-3.</li><li><a href="https://link-springer-com.manchester.idm.oclc.org/book/10.1007/978-3-030-53176-8" target="_blank">PET and SPECT of neurobiological systems</a> by Rudi A.J.O. Dierckx, Andreas Otte, Erik F.J. de Vries, Aren van Waarde, Adriaan A. Lammertsma (editors), Springer Nature Switzerland AG 2021, eBook ISBN 978-3-030-53176-8.</li></ol>Advanced MRI Resources:6. Quantitative MRI of the Brain: Principles of Physical Measurement, Second edition 31 Mar. 2021 by Mara Cercignani (Editor), Nicholas G. Dowell (Editor),Paul S. Tofts (Editor) (ISBN 9780367781538)  Seminars 24 0 126