Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Enabling Technologies for Co-Robotic...
~
Zhang, Haichong.
Linked to FindBook
Google Book
Amazon
博客來
Enabling Technologies for Co-Robotic Translational Ultrasound and Photoacoustic Imaging.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Enabling Technologies for Co-Robotic Translational Ultrasound and Photoacoustic Imaging./
Author:
Zhang, Haichong.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:
341 p.
Notes:
Source: Dissertations Abstracts International, Volume: 81-07, Section: B.
Contained By:
Dissertations Abstracts International81-07B.
Subject:
Biomedical engineering. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27606889
ISBN:
9781687987921
Enabling Technologies for Co-Robotic Translational Ultrasound and Photoacoustic Imaging.
Zhang, Haichong.
Enabling Technologies for Co-Robotic Translational Ultrasound and Photoacoustic Imaging.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 341 p.
Source: Dissertations Abstracts International, Volume: 81-07, Section: B.
Thesis (Ph.D.)--The Johns Hopkins University, 2017.
This item must not be sold to any third party vendors.
Among many medical imaging modalities, medical ultrasound possesses its unique advantages of non-ionizing, real-time, and non-invasive properties. With its safeness, ease of use, and cost-effectiveness, ultrasound imaging has been used in a wide variety of diagnostic applications. Photoacoustic imaging is a hybrid imaging modality merging light and ultrasound, and reveals the tissue metabolism and molecular distribution with the utilization of endo- and exogenous contrast agents. With the emergence of photoacoustic imaging, ultrasound and photoacoustic imaging can comprehensively depict not only anatomical but also functional information of biological tissue. To broaden the impact of translational ultrasound and photoacoustic imaging, this dissertation focuses on the development of enabling technologies and the exploration of associated applications. The goals of these technologies are; (1) Enabling Technologies for Translational Photoacoustic Imaging. We investigated the potential of maximizing the access to translational photoacoustic imaging using a clinical ultrasound scanner and a low-cost light source, instead of widely used customized data acquisition system and expensive high power laser. (2) Co-robotic Ultrasound and Photoacoustic Imaging. We introduced a co-robotic paradigm to make ultrasound/photoacoustic imaging more comprehensive and capable of imaging deeper with higher resolution and wider field-of-view.(3) Advancements on Translational Photoacoustic Imaging. We explored the new use of translational photoacoustic imaging for molecular-based cancer detection and the sensing of neurotransmitter activity in the brain. Together, these parts explore the feasibility of co-robotic translational ultrasound and photoacoustic imaging.
ISBN: 9781687987921Subjects--Topical Terms:
535387
Biomedical engineering.
Subjects--Index Terms:
Ultrasound imaging
Enabling Technologies for Co-Robotic Translational Ultrasound and Photoacoustic Imaging.
LDR
:03067nmm a2200421 4500
001
2269077
005
20200908082326.5
008
220629s2017 ||||||||||||||||| ||eng d
020
$a
9781687987921
035
$a
(MiAaPQ)AAI27606889
035
$a
(MiAaPQ)0098vireo3359Zhang
035
$a
AAI27606889
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Zhang, Haichong.
$3
3546381
245
1 0
$a
Enabling Technologies for Co-Robotic Translational Ultrasound and Photoacoustic Imaging.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2017
300
$a
341 p.
500
$a
Source: Dissertations Abstracts International, Volume: 81-07, Section: B.
500
$a
Advisor: Boctor, Emad M.
502
$a
Thesis (Ph.D.)--The Johns Hopkins University, 2017.
506
$a
This item must not be sold to any third party vendors.
520
$a
Among many medical imaging modalities, medical ultrasound possesses its unique advantages of non-ionizing, real-time, and non-invasive properties. With its safeness, ease of use, and cost-effectiveness, ultrasound imaging has been used in a wide variety of diagnostic applications. Photoacoustic imaging is a hybrid imaging modality merging light and ultrasound, and reveals the tissue metabolism and molecular distribution with the utilization of endo- and exogenous contrast agents. With the emergence of photoacoustic imaging, ultrasound and photoacoustic imaging can comprehensively depict not only anatomical but also functional information of biological tissue. To broaden the impact of translational ultrasound and photoacoustic imaging, this dissertation focuses on the development of enabling technologies and the exploration of associated applications. The goals of these technologies are; (1) Enabling Technologies for Translational Photoacoustic Imaging. We investigated the potential of maximizing the access to translational photoacoustic imaging using a clinical ultrasound scanner and a low-cost light source, instead of widely used customized data acquisition system and expensive high power laser. (2) Co-robotic Ultrasound and Photoacoustic Imaging. We introduced a co-robotic paradigm to make ultrasound/photoacoustic imaging more comprehensive and capable of imaging deeper with higher resolution and wider field-of-view.(3) Advancements on Translational Photoacoustic Imaging. We explored the new use of translational photoacoustic imaging for molecular-based cancer detection and the sensing of neurotransmitter activity in the brain. Together, these parts explore the feasibility of co-robotic translational ultrasound and photoacoustic imaging.
590
$a
School code: 0098.
650
4
$a
Biomedical engineering.
$3
535387
650
4
$a
Computer science.
$3
523869
650
4
$a
Robotics.
$3
519753
650
4
$a
Public health.
$3
534748
650
4
$a
Health sciences.
$3
3168359
650
4
$a
Medical imaging.
$3
3172799
653
$a
Ultrasound imaging
653
$a
Photoacoustic imaging
653
$a
Robotic ultrasound
653
$a
Co-robotic system
653
$a
Synthetic aperture
690
$a
0541
690
$a
0984
690
$a
0771
690
$a
0566
690
$a
0574
690
$a
0573
710
2
$a
The Johns Hopkins University.
$b
Computer Science.
$3
2094966
773
0
$t
Dissertations Abstracts International
$g
81-07B.
790
$a
0098
791
$a
Ph.D.
792
$a
2017
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27606889
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9421311
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login