1 of 9

Comparison of image-derived parameters from different organs

SOFÍA ORTÍN VELA

DBC - Groupe du Prof. Bergmann

2023

2 of 9

Introduction:

Medical imaging offers fundamental information about anatomy and organ function

​

​

​

2

Different imaging modalities:

3 of 9

Introduction:

Different organs:

​

​

​

3

Images: MRIs and OCT (Optical Coherence Tomography)

Images obtained from: https://www.melbourneradiology.com.au/diagnostic-imaging/mri-scan-brain/ https://www.mriclinicalcasemap.philips.com/global/case/13/

https://med.stanford.edu/bmrgroup/Research/abdominal-mri.html https://global.canon/en/technology/support02.html https://www.thno.org/v11p3317.htm

4 of 9

Introduction:

Images derived parameters or phenotypes (IDPs): Any measure from an image. Typical IDPs, associated with the overall health of the organ:

​

  • Volumes of different structures

​

  • Fat content

​

  • Iron content

​

  • Composed parameters
    • Ejection fraction: indicator of heart strength

​

  • …

​

​

​

​

​

https://www.frontiersin.org/articles/10.3389/fnagi.2019.00259/full https://www.medicinenet.com/enlarged_spleen/article.htm http://ecgmedical.com/normal-heart-works-part-ii-iii/

4

5 of 9

Aim:

Study the associations between the phenotypes from different organs:

​

  • Are there organs whose phenotypes are overall more associated with same organs than to other? And if so, how are they associated?

​

  • If we have multiple IDPs per image, how do we find the relevant traits?

​

5

Use IDPs to investigate cross-organs relationships

Challenge: Not all the subjects have all data for all the phenotypes -> Different sample size for different organs & partial sample size overlap

⚠️

6 of 9

Dataset:

https://www.ukbiobank.ac.uk/enable-your-research/about-our-data/imaging-data

​

6

Modality

Organ

Datafield

Description

N_items

N_participants

OCT

Eye

21017

OCT image slices (left)

87576

84774

OCT

Eye

21018

OCT image slices (right)

88262

85243

MRI

Pancreas

20259

Pancreas Images - ShMoLLI - DICOM

50924

46533

MRI

Liver

20204

Liver Imaging - T1 ShMoLLI - DICOM

59465

54606

MRI

Heart

20210

Aortic distensibilty images - DICOM

58483

53789

MRI

Brain

20252

T1 structural brain images - NIFTI

49120

44180

‘UK Biobank is a large-scale biomedical database and research resource, containing in-depth genetic and health information from half a million UK participants.’

Simple imaging summary for some examples:

7 of 9

  1. Brain IDPs https://biobank.ctsu.ox.ac.uk/crystal/label.cgi?id=1101

​

​

​

​

​

​

7

UKBiobank IDPs available:

8 of 9

Characteristics of the project:��-Data analysis based, particularly multivariate analysis�-Simple and basic concepts -> more freedom �-Python very basic knowledge ���To learn:��-Getting familiar with real datasets�-Having exposure to medical images derived phenotypes�-Reinforce statistical and programming basic knowledge

Use IDPs to investigate cross-organs relationships

​

sofia.ortinvela@unil.ch

8

9 of 9

Links and papers

​

  • Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants (2021)
  • Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning (2020)

9