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Full-Text Articles in Engineering
Qualitative And Quantitative Improvements For Positron Emission Tomography Using Different Motion Correction Methodologies, Tasmia Rahman Tumpa
Qualitative And Quantitative Improvements For Positron Emission Tomography Using Different Motion Correction Methodologies, Tasmia Rahman Tumpa
Doctoral Dissertations
Positron Emission Tomography (PET) data suffers from low image quality and quantitative accuracy due to different kinds of motion of patients during imaging. Hardware-based motion correction is currently the standard; however, is limited by several constraints, the most important of which is retroactive data correction. Data-driven techniques to perform motion correction in this regard are active areas of research. The motivation behind this work lies in developing a complete data-driven approach to address both motion detection and correction. The work first presents an algorithm based on the positron emission particle tracking (PEPT) technique and makes use of time-of-flight (TOF) information …
Evaluating Algorithms Used For Fetal Brain Scan Segmentation, Connor Stewart Burgess
Evaluating Algorithms Used For Fetal Brain Scan Segmentation, Connor Stewart Burgess
Undergraduate Student Research Internships Conference
The goal for this project was to successfully segment a fetal brain scan (fetal scan) using the algorithms provided by the program Slicer3D. To better understand the hurdles that arose when segmenting a fetal scan, we first look at the segmentation of an adult brain scan. This will allow us to see the straightforward nature of a brain segmentation when a high quality, high resolution volume with distinct structures is available. After examining the adult brain scan, attention will be moved to the segmentation of the fetal scan, where we’ll first look at the algorithms used and methods followed. Finally …
Universal And Stable Medical Image Generation For Tissue Segmentation (The Unistable Method), Ihab Elaff, Ali El-Kemany, Mohammed Kholif
Universal And Stable Medical Image Generation For Tissue Segmentation (The Unistable Method), Ihab Elaff, Ali El-Kemany, Mohammed Kholif
Turkish Journal of Electrical Engineering and Computer Sciences
Segmentation of medical images has been one of the most important research areas because of its impact in modeling and diagnosing the structure and the functions of various organs. The lack of unique solution for the segmentation problem of medical images is caused by the wide range of selections among different medical imaging modalities and clustering methods where each setting has its own estimates for solving this problem. The unistable method is a novel method that generates enhanced images with high contrast, which can reduce boundary overlap between different tissues. This is accomplished by fusion of different clustering maps, which …
“My Logic Is Undeniable”: Replicating The Brain For Ideal Artificial Intelligence, Samuel C. Adams
“My Logic Is Undeniable”: Replicating The Brain For Ideal Artificial Intelligence, Samuel C. Adams
Senior Honors Theses
Alan Turing asked if machines can think, but intelligence is more than logic and reason. I ask if a machine can feel pain or joy, have visions and dreams, or paint a masterpiece. The human brain sets the bar high, and despite our progress, artificial intelligence has a long way to go. Studying neurology from a software engineer’s perspective reveals numerous uncanny similarities between the functionality of the brain and that of a computer. If the brain is a biological computer, then it is the embodiment of artificial intelligence beyond anything we have yet achieved, and its architecture is advanced …
Brain Recorder, Anthony M. Garcia
Brain Recorder, Anthony M. Garcia
Computer Engineering
Electroencephalography (EEG) is the recording of electrical activity along the scalp. Our mind regulates its activities by means of electric waves which are registered in the brain, emitting tiny electrochemical impulses of varied frequencies, which can be registered by an electroencephalogram. These “brainwave” frequencies are split into different bands. There is ongoing research that attempts to correlate the frequencies in the different bands to different emotional states and levels of concentration. With the increase in availability of commercial EEG devices, such studies can be sped up by making the collection of data easier, faster, and mobile. Creating a mobile application …
Visualizing The Correlation Between Human Brain Structure And Function, Douglas Hamilton
Visualizing The Correlation Between Human Brain Structure And Function, Douglas Hamilton
Summer Research
In order to help neuroscience researchers better investigate correlations between human brain structure and function, three visualization techniques were implemented in an existing neuroscience investigation software tool. These techniques aimed to produce effective visualizations of gray matter and white matter in the same virtual scene. The three techniques were: 1) wireframe rendering of the gray matter 2) multiple views of separate data sets with linked vantage point and 3) abstraction of white matter pathways drawn as arcs going outside the gray matter.