Task-based optimization of flip angle for texture analysis in MRI

Jonathan F. Brand; Lars R. Furenlid; Maria I. Altbach; Jean-Phillippe Galons; Achyut Bhattacharyya; Puneet Sharma; Tulshi Bhattacharyya; Ali Bilgin; Diego R. Martin

doi:10.1117/12.2214564

24 March 2016 Task-based optimization of flip angle for texture analysis in MRI

Jonathan F. Brand, Lars R. Furenlid, Maria I. Altbach, Jean-Phillippe Galons, Achyut Bhattacharyya, Puneet Sharma, Tulshi Bhattacharyya, Ali Bilgin, Diego R. Martin

Author Affiliations +

Proceedings Volume 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment; 97870B (2016) https://doi.org/10.1117/12.2214564
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Chronic liver disease is a worldwide health problem, and hepatic fibrosis (HF) is one of the hallmarks of the disease. The current reference standard for diagnosing HF is biopsy followed by pathologist examination, however this is limited by sampling error and carries risk of complications. Pathology diagnosis of HF is based on textural change in the liver as a lobular collagen network that develops within portal triads. The scale of collagen lobules is characteristically on order of 1-5 mm, which approximates the resolution limit of in vivo gadolinium-enhanced magnetic resonance imaging in the delayed phase. We have shown that MRI of formalin fixed human ex vivo liver samples mimic the textural contrast of in vivo Gd-MRI and can be used as MRI phantoms. We have developed local texture analysis that is applied to phantom images, and the results are used to train model observers. The performance of the observer is assessed with the area-under-the-receiveroperator- characteristic curve (AUROC) as the figure of merit. To optimize the MRI pulse sequence, phantoms are scanned with multiple times at a range of flip angles. The flip angle that associated with the highest AUROC is chosen as optimal based on the task of detecting HF.

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Jonathan F. Brand, Lars R. Furenlid, Maria I. Altbach, Jean-Phillippe Galons, Achyut Bhattacharyya, Puneet Sharma, Tulshi Bhattacharyya, Ali Bilgin, and Diego R. Martin "Task-based optimization of flip angle for texture analysis in MRI", Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97870B (24 March 2016); https://doi.org/10.1117/12.2214564

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KEYWORDS

Liver

Magnetic resonance imaging

Biopsy

Tissues

Collagen

Data modeling

In vivo imaging

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