Technical Note: Rapid multiexponential curve fitting algorithm for voxel‐based targeted radionuclide dosimetry

剂量学 体素 算法 计算机科学 迭代重建 分段 指数函数 数学优化 迭代法 解算器 数学 核医学 人工智能 医学 数学分析
作者
Price Jackson,Lachlan McIntosh,Michael S Hofman,Grace Kong,Rodney J. Hicks
出处
期刊:Medical Physics [Wiley]
卷期号:47 (9): 4332-4339 被引量:6
标识
DOI:10.1002/mp.14243
摘要

Background Dosimetry in nuclear medicine often relies on estimating pharmacokinetics based on sparse temporal data. As analysis methods move toward image‐based three‐dimensional computation, it becomes important to interpolate and extrapolate these data without requiring manual intervention; that is, in a manner that is highly efficient and reproducible. Iterative least‐squares solvers are poorly suited to this task because of the computational overhead and potential to optimize to local minima without applying tight constraints at the outset. Methodology This work describes a fully analytical method for solving three‐phase exponential time‐activity curves based on three measured time points in a manner that may be readily employed by image‐based dosimetry tools. The methodology uses a series of conditional statements and a piecewise approach for solving exponential slope directly through measured values in most instances. The proposed algorithm is tested against a purpose‐designed iterative fitting technique and linear piecewise method followed by single exponential in a cohort of ten patients receiving 177 Lu‐DOTA‐Octreotate therapy. Results Tri‐exponential time‐integrated values are shown to be comparable to previously published methods with an average difference between organs when computed at the voxel level of 9.8 ± 14.2% and −3.6 ± 10.4% compared to iterative and interpolated methods, respectively. Of the three methods, the proposed tri‐exponential algorithm was most consistent when regional time‐integrated activity was evaluated at both voxel‐ and whole‐organ levels. For whole‐body SPECT imaging, it is possible to compute 3D time‐integrated activity maps in <5 min processing time. Furthermore, the technique is able to predictably and reproducibly handle artefactual measurements due to noise or spatial misalignment over multiple image times. Conclusions An efficient, analytical algorithm for solving multiphase exponential pharmacokinetics is reported. The method may be readily incorporated into voxel‐dose routines by combining with widely available image registration and radiation transport tools.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
徐裘完成签到,获得积分10
刚刚
1秒前
1秒前
1秒前
2秒前
patrickcj发布了新的文献求助10
2秒前
寒冷又晴完成签到 ,获得积分10
3秒前
令狐懒懒完成签到,获得积分10
3秒前
蛋又白应助胡涂图采纳,获得10
3秒前
adad发布了新的文献求助10
3秒前
3秒前
5秒前
高大鸣凤完成签到,获得积分10
5秒前
Lucas应助淡淡的元绿采纳,获得10
5秒前
郭昱嘉发布了新的文献求助10
6秒前
凑狗关注了科研通微信公众号
6秒前
CHAUSU完成签到,获得积分10
6秒前
6秒前
哇噻发布了新的文献求助10
7秒前
Hello应助77seven采纳,获得10
7秒前
123456789发布了新的文献求助10
7秒前
在水一方应助英勇代荷采纳,获得10
8秒前
9秒前
完美世界应助令狐懒懒采纳,获得10
9秒前
9秒前
ihenauly发布了新的文献求助10
10秒前
凑狗关注了科研通微信公众号
10秒前
10秒前
Leeee发布了新的文献求助10
11秒前
11秒前
维桢发布了新的文献求助10
12秒前
12秒前
12秒前
12秒前
xing_xing应助一吃就饱采纳,获得20
12秒前
wu发布了新的文献求助10
12秒前
CipherSage应助一十九采纳,获得10
13秒前
干净的尔柳完成签到,获得积分20
13秒前
小二郎应助邓佩雨采纳,获得10
13秒前
桐桐应助小灵通采纳,获得10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7764575
求助须知:如何正确求助?哪些是违规求助? 9308727
关于积分的说明 20307911
捐赠科研通 7349263
什么是DOI,文献DOI怎么找? 3314437
关于科研通互助平台的介绍 2463919
邀请新用户注册赠送积分活动 2328642