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: Computational Methods for Molecular Imaging; Fei Gao,Kuangyu Shi,Shuo Li Book 2015 Springer International Publishing Switzerland 2015 Clin

[復(fù)制鏈接]
樓主: Eschew
41#
發(fā)表于 2025-3-28 15:01:36 | 只看該作者
Gradient Projection for Regularized Cryo-Electron Tomographic Reconstructionte. The technique consists of acquiring many two-dimensional (2D) projections of the structure under scrutiny at various tilt angles under cryogenic conditions. The 3D structure is recovered through a number of steps including projection alignment and reconstruction. However, the resolution currentl
42#
發(fā)表于 2025-3-28 20:57:18 | 只看該作者
43#
發(fā)表于 2025-3-29 01:06:48 | 只看該作者
44#
發(fā)表于 2025-3-29 05:45:19 | 只看該作者
45#
發(fā)表于 2025-3-29 08:57:47 | 只看該作者
Time-Activity Curve Based Sinogram Decomposition for Streak Artifacts Reduction in Dynamic PET Reconsignals such as bladder than other areas. This is achieved by a clustering of temporal development into comparable signal levels and decomposition in projection space accordingly. The results show a significant improvement in quality of reconstructed images as well as an improvement in quantificatio
46#
發(fā)表于 2025-3-29 13:55:36 | 只看該作者
4-D PET-MR with Volumetric Navigators and Compressed Sensingta. However, the acquisition of high-resolution MR and PET images requires long scanning times, therefore movement of the subject during the acquisition deteriorates both the PET and the MR images. In this work we have developed an approach for tightly integrated PET-MR imaging, making use of volume
47#
發(fā)表于 2025-3-29 17:34:49 | 只看該作者
Robust Feature Selection to Predict Lung Tumor Recurrence a predictive feature subset from a series of spatiotemporal PET image characteristics, including SUV-based and texture features, in order to predict lung tumor recurrence one year after treatment. To overcome the small sample size, class imbalance problem, we propose a hierarchical forward selectio
48#
發(fā)表于 2025-3-29 21:54:25 | 只看該作者
49#
發(fā)表于 2025-3-30 01:21:26 | 只看該作者
50#
發(fā)表于 2025-3-30 04:44:55 | 只看該作者
Generation of MR-Based Attenuation Correction Map of PET Images in the Brain Employing Joint Segmentdose, and truly simultaneous imaging capabilities. However, the lack of an accurate method for generation of MR-based attenuation map (.-map) at 511 keV is hampering further development and wider acceptance of this technology. Here, we present a new method for the MR-based attenuation correction map
 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(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-27 02:53
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
徐汇区| 肇州县| 临西县| 农安县| 东光县| 海丰县| 社会| 鹤山市| 竹山县| 乐平市| 东阿县| 建湖县| 大埔区| 时尚| 金塔县| 南木林县| 高尔夫| 偏关县| 博乐市| 榆中县| 长兴县| 永仁县| 长春市| 孟村| 安阳市| 育儿| 宿州市| 台北县| 宁海县| 开平市| 壤塘县| 磐石市| 通化县| 萍乡市| 桐城市| 普格县| 元阳县| 青海省| 孙吴县| 海宁市| 青冈县|