Evaluation of the MRI Images Matching Using Normalized Mutual Information Method and Preprocessing Techniques

Bzowski, Paweł; Borys, Damian; Guz, Wiesław; Obuchowicz, Rafał; Piórkowski, Adam

doi:10.1007/978-3-030-31254-1_12

Cited by 2 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This observation is consistent with clinical observations where sequences with a high TR time are used to differentiate lesions due to high visual contrast [93]. It is also worth mentioning that comparing different MRI sequences is problematic; however, there are works showing that the registration of two series of MRI data is possible to some extent [94].…”

Section: Mae (Years)supporting

confidence: 87%

Texture Analysis for the Bone Age Assessment from MRI Images of Adolescent Wrists in Boys

Obuchowicz

Nurzynska

Pierzchała³

et al. 2023

JCM

Self Cite

View full text Add to dashboard Cite

Currently, bone age is assessed by X-rays. It enables the evaluation of the child’s development and is an important diagnostic factor. However, it is not sufficient to diagnose a specific disease because the diagnoses and prognoses may arise depending on how much the given case differs from the norms of bone age. Background: The use of magnetic resonance images (MRI) to assess the age of the patient would extend diagnostic possibilities. The bone age test could then become a routine screening test. Changing the method of determining the bone age would also prevent the patient from taking a dose of ionizing radiation, making the test less invasive. Methods: The regions of interest containing the wrist area and the epiphyses of the radius are marked on the magnetic resonance imaging of the non-dominant hand of boys aged 9 to 17 years. Textural features are computed for these regions, as it is assumed that the texture of the wrist image contains information about bone age. Results: The regression analysis revealed that there is a high correlation between the bone age of a patient and the MRI-derived textural features derived from MRI. For DICOM T1-weighted data, the best scores reached 0.94 R2, 0.46 RMSE, 0.21 MSE, and 0.33 MAE. Conclusions: The experiments performed have shown that using the MRI images gives reliable results in the assessment of bone age while not exposing the patient to ionizing radiation.

show abstract

Section: Mae (Years)supporting

confidence: 87%