文献类型： 会议论文

第一作者： Nikita Thomas

作者： Nikita Thomas ¹ ; Keerthi Sravan Ravi ² ; Akhila Perumalla ¹ ; Srinivasa Rao ³ ; Venkatesan Thangaraj ³ ; Sairam Geethanath ⁴ ; Hansuk Kim ¹ ; Girish Srinivasan ¹ ;

作者机构： 1.PhenoMx Inc

2.Biomedical Engineering Department Columbia University

3.Radiant Sage Ventures

4.Magnetic Resonance Research Center Columbia University

会议名称： IEEE International Conference on Bioinformatics and Bioengineering

主办单位：

页码： 642-647

摘要： Growing research has proven that mental illnesses, such as depression and chronic stress, can be better understood through the use of medical imaging. However, these findings fail utilization in real-world clinical settings. The intention of this work is to demonstrate the ability to provide widespread access to medical imaging through computer-assisted technology across various community care providers, thus allowing meaninglul use outcomes to population and public health. We have created an end-to-end fully automated approach to mental health screening leveraged by artificial intelligence. This workflow involves four core solutions: a voice-activated user interaction, rapid 3D T1-weighted contrast and a resting-state functional acquisition, deep learning-based image analysis, and 3D interactive visualization. Intelligent protocolling is used to obtain optimal pulse sequence parameters to satisfy any time constraint. Rigid registration, k-means tissue classification, and an augmented artificial neural network trained on a public database and Talairach atlas segments out over 60 brain structures with corresponding quantitative measures. Functional MR images are processed via seed-based connectivity to produce functional connectivity maps. Finally, a simplistic user experience implementing text-to-speech, speech-to-text technology coupled with a medical image viewer gives interactive passage to medical imaging results. While various tools have emerged to examine both structural and functional MRI within the research space, a simple straightforward, voice-activated interface to perform the scan, automatically process and retrieve meaningful results, that can be accomplished in less than 20 minutes, enables non-specialists to comprehend all relevant information. With this proposed method, insights on a patient's mental health beyond surveys and questionnaires can be determined, such as the quantitative phenotypic impact of stress on the brain, with minimal assistance. This pipeline allows medical imaging to expand beyond radiology for wider population health management protocol adoption.

分类号： Q811.4-53