Automated ventricle parcellation and evan's ratio computation in pre- and post-surgical ventriculomegaly
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023:10.1109/isbi53787.2023.10230729. doi: 10.1109/isbi53787.2023.10230729. Epub 2023 Sep 1.ABSTRACTNormal pressure hydrocephalus (NPH) is a brain disorder associated with enlarged ventricles and multiple cognitive and motor symptoms. The degree of ventricular enlargement can be measured using magnetic resonance images (MRIs) and characterized quantitatively using the Evan's ratio (ER). Automatic computation of ER is desired to avoid the extra time and variations associated with manual measurements on MRI. Because shunt surgery is often used to treat NPH, it is necessary that thi...
Source: Proceedings - International Symposium on Biomedical Imaging - November 28, 2023 Category: Radiology Authors: Yuli Wang Anqi Feng Yuan Xue Lianrui Zuo Yihao Liu Ari M Blitz Mark G Luciano Aaron Carass Jerry L Prince Source Type: research

Automated ventricle parcellation and evan's ratio computation in pre- and post-surgical ventriculomegaly
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023. doi: 10.1109/isbi53787.2023.10230729. Epub 2023 Sep 1.ABSTRACTNormal pressure hydrocephalus (NPH) is a brain disorder associated with enlarged ventricles and multiple cognitive and motor symptoms. The degree of ventricular enlargement can be measured using magnetic resonance images (MRIs) and characterized quantitatively using the Evan's ratio (ER). Automatic computation of ER is desired to avoid the extra time and variations associated with manual measurements on MRI. Because shunt surgery is often used to treat NPH, it is necessary that this process be robust to image art...
Source: Proceedings - International Symposium on Biomedical Imaging - November 28, 2023 Category: Radiology Authors: Yuli Wang Anqi Feng Yuan Xue Lianrui Zuo Yihao Liu Ari M Blitz Mark G Luciano Aaron Carass Jerry L Prince Source Type: research

Rapid brain meninges surface reconstruction with layer topology guarantee
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023:10.1109/isbi53787.2023.10230668. doi: 10.1109/isbi53787.2023.10230668. Epub 2023 Sep 1.ABSTRACTThe meninges, located between the skull and brain, are composed of three membrane layers: the pia, the arachnoid, and the dura. Reconstruction of these layers can aid in studying volume differences between patients with neurodegenerative diseases and normal aging subjects. In this work, we use convolutional neural networks (CNNs) to reconstruct surfaces representing meningeal layer boundaries from magnetic resonance (MR) images. We first use the CNNs to predict the signed distance ...
Source: Proceedings - International Symposium on Biomedical Imaging - November 22, 2023 Category: Radiology Authors: Peiyu Duan Yuan Xue Shuo Han Lianrui Zuo Aaron Carass Caitlyn Bernhard Savannah Hays Peter A Calabresi Susan M Resnick James S Duncan Jerry L Prince Source Type: research

Human Not in the Loop: Objective Sample Difficulty Measures for Curriculum Learning
Proc IEEE Int Symp Biomed Imaging. 2023 Apr;2023:10.1109/isbi53787.2023.10230597. doi: 10.1109/isbi53787.2023.10230597. Epub 2023 Sep 1.ABSTRACTCurriculum learning is a learning method that trains models in a meaningful order from easier to harder samples. A key here is to devise automatic and objective difficulty measures of samples. In the medical domain, previous work applied domain knowledge from human experts to qualitatively assess classification difficulty of medical images to guide curriculum learning, which requires extra annotation efforts, relies on subjective human experience, and may introduce bias. In this wo...
Source: Proceedings - International Symposium on Biomedical Imaging - October 27, 2023 Category: Radiology Authors: Zhengbo Zhou Jun Luo Dooman Arefan Gene Kitamura Shandong Wu Source Type: research