找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Magnetic Resonance Imaging with Nonlinear Gradient Fields; Signal Encoding and Gerrit Schultz Book 2013 Springer Fachmedien Wiesbaden 2013

[復(fù)制鏈接]
查看: 34173|回復(fù): 40
樓主
發(fā)表于 2025-3-21 18:36:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields
副標(biāo)題Signal Encoding and
編輯Gerrit Schultz
視頻videohttp://file.papertrans.cn/622/621334/621334.mp4
概述Publication in the field of natural sciences.Includes supplementary material:
圖書封面Titlebook: Magnetic Resonance Imaging with Nonlinear Gradient Fields; Signal Encoding and  Gerrit Schultz Book 2013 Springer Fachmedien Wiesbaden 2013
描述?Within the past few decades MRI has become one of the most important imaging modalities in medicine. For a reliable diagnosis of pathologies further technological improvements are of primary importance. This study deals with a radically new approach of image encoding. Gradient linearity has ever since been an unquestioned technological design criterion. With the advent of parallel imaging, this approach may be questioned, making way of much a more flexible gradient hardware that uses encoding fields with an arbitrary geometry. The theoretical basis of this new imaging modality – PatLoc imaging – are comprehensively presented, suitable image reconstruction algorithms are developed for a variety of imaging sequences and imaging results – including in vivo data – are explored based on novel hardware designs.
出版日期Book 2013
關(guān)鍵詞Image Reconstruction; Imaging in Medicine; Magnetic Resonance Imaging; PatLoc Imaging; Signal Encoding; D
版次1
doihttps://doi.org/10.1007/978-3-658-01134-5
isbn_softcover978-3-658-01133-8
isbn_ebook978-3-658-01134-5
copyrightSpringer Fachmedien Wiesbaden 2013
The information of publication is updating

書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields影響因子(影響力)




書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields影響因子(影響力)學(xué)科排名




書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields網(wǎng)絡(luò)公開度




書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields被引頻次




書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields被引頻次學(xué)科排名




書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields年度引用




書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields年度引用學(xué)科排名




書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields讀者反饋




書目名稱Magnetic Resonance Imaging with Nonlinear Gradient Fields讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:42:36 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:40:16 | 只看該作者
https://doi.org/10.1007/978-3-658-01134-5Image Reconstruction; Imaging in Medicine; Magnetic Resonance Imaging; PatLoc Imaging; Signal Encoding; D
地板
發(fā)表于 2025-3-22 06:20:30 | 只看該作者
5#
發(fā)表于 2025-3-22 10:36:42 | 只看該作者
6#
發(fā)表于 2025-3-22 14:43:46 | 只看該作者
7#
發(fā)表于 2025-3-22 17:24:45 | 只看該作者
Image Reconstruction in MRI,ing the object information from the acquired signals. This is a difficult task because MRI measurements only indirectly represent the object, and there is only a finite amount of measurement data available for the vast amount of object information.
8#
發(fā)表于 2025-3-23 00:58:02 | 只看該作者
Basics of Signal Encoding and Image Reconstruction in PatLoc Imaging, deals with the problem of how images can be reconstructed in PatLoc. A common treatment of both topics in one chapter is useful because an approach of image reconstruction is taken here that makes immediate use of the imaging model.
9#
發(fā)表于 2025-3-23 02:56:40 | 只看該作者
Direct Reconstruction for Cartesian PatLoc Imaging,n hand with this Cartesian method. In this chapter, it is shown that the same is true in PatLoc imaging. Though being applicable to only a particular encoding strategy, the methods developed in this chapter may be regarded as the most fundamental methods in PatLoc imaging.
10#
發(fā)表于 2025-3-23 05:54:17 | 只看該作者
Direct Reconstruction for Radial PatLoc Imaging,and non-bijective encoding. Also non-Cartesian trajectories play an important role in standard MRI; of particular interest is radial imaging (cf. chapter 2.2.2, page 66ff). In the present chapter, such radial acquisitions are analyzed in the context of PatLoc imaging.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 17:36
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
咸丰县| 五常市| 彭水| 阿拉尔市| 稷山县| 桐庐县| 高唐县| 师宗县| 丹寨县| 四平市| 永春县| 潍坊市| 盐边县| 彝良县| 江安县| 威远县| 遵义县| 孙吴县| 五峰| 关岭| 巴中市| 铜陵市| 新巴尔虎右旗| 芒康县| 皋兰县| 临清市| 江达县| 襄汾县| 望城县| 宜宾市| 聂拉木县| 台前县| 桐梓县| 布拖县| 阿勒泰市| 弥渡县| 东乡| 盖州市| 濮阳市| 五华县| 新宁县|