RAPID: radiopharmaceutical assessment platform for internal dosimetry
Clicks: 2
ID: 311734
2022
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
0.3
/100
2 views
1 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #617 of 631 articles by views in science and technology of advanced materials
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 631 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
In this chapter, RAPID, which stands for Radiopharmaceutical Assessment Platform for Internal Dosimetry is introduced. The essential parts of the framework include: imaging acquisition and import, image pre-processing, manual region of interest (ROI) contouring, ROI-based registration, Monte Carlo radiation transport, voxel-level absorbed dose rate (ADR) integration, radiobiological modelling, and dose statistics export.
| Reference Key |
persistent_1771691673_6999de99e1909
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Bryan Bednarz, Abigail Besemer, Ian Marsh, David Adam, Joseph Grudzinski |
| Journal | science and technology of advanced materials |
| Year | 2022 |
| DOI |
10.1088/978-0-7503-2694-0ch11
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.