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Biomedicines
Special Issues
10th Anniversary of Biomedicines—Advances in Biological and Biomedical Imaging...
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10th Anniversary of Biomedicines—Advances in Biological and Biomedical Imaging Applications

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Biomedical Engineering and Materials".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 4368

Special Issue Editors

Dr. Yu-Te Wu

E-Mail Website
Guest Editor
Institute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, Taiwan
Interests: medical image processing and analysis; structural and functional magnetic resonance imaging; Artificial Intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Wen-Chuan Kuo

E-Mail Website
Guest Editor
Institute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, Taiwan
Interests: optical coherence tomography; surgical-guiding imaging, early cancer detection

Special Issue Information

Dear Colleagues,

We are pleased to invite submissions to a new Special Issue on the “10th Anniversary of Biomedicines—Advances in Biological and Biomedical Imaging Applications”. With technologies ranging from cellular-level to tissue-level resolution, biological and biomedical imaging science is evolving into a distinct and coherent set of ideas and concepts, and this growing field has also become a central part of medical research.

With the advancement of imaging technology, new applications are emerging from cellular biology to diagnostics and disease management. This Special Issue welcomes manuscripts on the development of body structure, morphology, and function imaging, including microscopy and molecular imaging. Applications papers featuring novel methods (including instrumentation, hardware and software, mathematics, physics, biology, and medicine) are especially encouraged. This Special Issue is open to a range of submissions, from basic to clinical research or multidisciplinary research in the field of biological and biomedical imaging applications. It covers original articles that include but are not limited to the following topics:

  • Advanced imaging techniques in biological and biomedical applications;
  • Integrated (multimodality) imaging systems to address issues in biomedical applications;
  • Imaging-assisted diagnosis, surgery, treatment, or prediction;
  • Deep learning or machine learning in biological or biomedical imaging processing;
  • Computer graphics and visualization in biological or biomedical imaging;
  • Biological or biomedical imaging interpretation and understanding;
  • Structural or functional imaging analysis.

Dr. Yu-Te Wu
Dr. Wen-Chuan Kuo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomedicines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multimodality imaging
  • diagnosis
  • treatment
  • prediction
  • deep learning
  • machine learning

Published Papers (2 papers)

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Research

14 pages, 1298 KiB  
Article
Neurobiological Markers for Predicting Treatment Response in Patients with Bipolar Disorder
by Yen-Ling Chen, Tzu-Hsuan Huang, Pei-Chi Tu, Ya-Mei Bai, Tung-Ping Su, Mu-Hong Chen, Jia-Sheng Hong and Yu-Te Wu
Biomedicines 2022, 10(12), 3047; https://doi.org/10.3390/biomedicines10123047 - 25 Nov 2022
Viewed by 1434
Abstract
Predictive neurobiological markers for prognosis are essential but underemphasized for patients with bipolar disorder (BD), a neuroprogressive disorder. Hence, we developed models for predicting symptom and functioning changes. Sixty-one patients with BD were recruited and assessed using the Young Mania Rating Scale (YMRS), [...] Read more.
Predictive neurobiological markers for prognosis are essential but underemphasized for patients with bipolar disorder (BD), a neuroprogressive disorder. Hence, we developed models for predicting symptom and functioning changes. Sixty-one patients with BD were recruited and assessed using the Young Mania Rating Scale (YMRS), Montgomery–Åsberg Depression Rating Scale (MADRS), Positive and Negative Syndrome Scale (PANSS), UKU Side Effect Rating Scale (UKU), Personal and Social Performance Scale (PSP), and Global Assessment of Functioning scale both at baseline and after 1-year follow-up. The models for predicting the changes in symptom and functioning scores were trained using data on the brain morphology, functional connectivity, and cytokines collected at baseline. The correlation between the predicted and actual changes in the YMRS, MADRS, PANSS, and UKU scores was higher than 0.86 (q < 0.05). Connections from subcortical and cerebellar regions were considered for predicting the changes in the YMRS, MADRS, and UKU scores. Moreover, connections of the motor network were considered for predicting the changes in the YMRS and MADRS scores. The neurobiological markers for predicting treatment-response symptoms and functioning changes were consistent with the neuropathology of BD and with the differences found between treatment responders and nonresponders. Full article
(This article belongs to the Special Issue 10th Anniversary of Biomedicines—Advances in Biological and Biomedical Imaging Applications)
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12 pages, 3984 KiB  
Article
Needle-Probe Optical Coherence Tomography for Real-Time Visualization of Veress Peritoneal Needle Placement in a Porcine Model: A New Safety Concept for Pneumoperitoneum Establishment in Laparoscopic Surgery
by Eric Yi-Hsiu Huang, Meng-Chun Kao, Chien-Kun Ting, William J. S. Huang, Yi-Ting Yeh, Hui-Hsuan Ke and Wen-Chuan Kuo
Biomedicines 2022, 10(2), 485; https://doi.org/10.3390/biomedicines10020485 - 18 Feb 2022
Cited by 2 | Viewed by 2115
Abstract
The safe establishment of pneumoperitoneum is a critical step in all laparoscopic surgeries. A closed pneumoperitoneum is usually obtained by inserting a Veress needle into the peritoneal cavity. However, there is no definite measure to visually confirm the position of the Veress needle [...] Read more.
The safe establishment of pneumoperitoneum is a critical step in all laparoscopic surgeries. A closed pneumoperitoneum is usually obtained by inserting a Veress needle into the peritoneal cavity. However, there is no definite measure to visually confirm the position of the Veress needle tip inside the peritoneal cavity. This study aimed to describe a method of real-time visual detection of peritoneal placement of the Veress needle using an incorporated optical coherence tomography (OCT) probe in a porcine model. A 14-gauge Veress needle was incorporated with a miniature fiber probe to puncture the piglet’s abdominal wall into the peritoneal cavity. A total of 80 peritoneal punctures were attempted in four piglets. For each puncture, continuous two-dimensional OCT images of the abdominal wall were acquired for real-time visual detection of the needle placement into the peritoneal cavity. Characteristic OCT image patterns could be observed during the puncturing process, especially a deep V-shaped concave pattern before the peritoneum puncture, which was a crucial feature. A statistical difference in the OCT signal standard deviation value also indicated the differentiability of images between the peritoneum and extra-peritoneal tissue layers. A success rate of 97.5% could be achieved with the guidance of the OCT images. OCT images translate the blind closed technique of peritoneal access into a visualized procedure, thus improving peritoneal access safety. Full article
(This article belongs to the Special Issue 10th Anniversary of Biomedicines—Advances in Biological and Biomedical Imaging Applications)
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