Chapter title |
Medical Imaging Informatics.
|
---|---|
Chapter number | 8 |
Book title |
Translational Biomedical Informatics
|
Published in |
Advances in experimental medicine and biology, November 2016
|
DOI | 10.1007/978-981-10-1503-8_8 |
Pubmed ID | |
Book ISBNs |
978-9-81-101502-1, 978-9-81-101503-8
|
Authors |
William Hsu Ph.D, Suzie El-Saden, Ricky K. Taira, William Hsu |
Editors |
Bairong Shen, Haixu Tang, Xiaoqian Jiang |
Abstract |
Imaging is one of the most important sources of clinically observable evidence that provides broad coverage, can provide insight on low-level scale properties, is noninvasive, has few side effects, and can be performed frequently. Thus, imaging data provides a viable observable that can facilitate the instantiation of a theoretical understanding of a disease for a particular patient context by connecting imaging findings to other biologic parameters in the model (e.g., genetic, molecular, symptoms, and patient survival). These connections can help inform their possible states and/or provide further coherent evidence. The field of radiomics is particularly dedicated to this task and seeks to extract quantifiable measures wherever possible. Example properties of investigation include genotype characterization, histopathology parameters, metabolite concentrations, vascular proliferation, necrosis, cellularity, and oxygenation. Important issues within the field include: signal calibration, spatial calibration, preprocessing methods (e.g., noise suppression, motion correction, and field bias correction), segmentation of target anatomic/pathologic entities, extraction of computed features, and inferencing methods connecting imaging features to biological states. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 2% |
Austria | 1 | <1% |
Portugal | 1 | <1% |
Spain | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Unknown | 112 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 23 | 19% |
Researcher | 18 | 15% |
Student > Master | 16 | 14% |
Student > Bachelor | 15 | 13% |
Student > Doctoral Student | 5 | 4% |
Other | 23 | 19% |
Unknown | 18 | 15% |
Readers by discipline | Count | As % |
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Computer Science | 31 | 26% |
Medicine and Dentistry | 19 | 16% |
Engineering | 18 | 15% |
Physics and Astronomy | 5 | 4% |
Social Sciences | 4 | 3% |
Other | 15 | 13% |
Unknown | 26 | 22% |