Evidence map›Paper›PMID 38643890›Full record

ArticleNeuroImage2024

Optimization-derived blood input function using a kernel method and its evaluation with total-body PET for brain parametric imaging.

Yansong Zhu, Quyen Tran, Yiran Wang, Ramsey D Badawi, Simon R Cherry, Jinyi Qi, Shiva Abbaszadeh, Guobao Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Yansong ZhuDepartment of Radiology, University of California Davis Medical Center, Sacramento, CA 95817, USA. Electronic address: yszhu@ucdavis.edu.
Quyen TranDepartment of Radiology, University of California Davis Medical Center, Sacramento, CA 95817, USA.
Yiran WangDepartment of Radiology, University of California Davis Medical Center, Sacramento, CA 95817, USA; Department of Biomedical Engineering, University of California at Davis, Davis, CA 95616, USA.
Ramsey D BadawiDepartment of Radiology, University of California Davis Medical Center, Sacramento, CA 95817, USA; Department of Biomedical Engineering, University of California at Davis, Davis, CA 95616, USA.
Simon R CherryDepartment of Radiology, University of California Davis Medical Center, Sacramento, CA 95817, USA; Department of Biomedical Engineering, University of California at Davis, Davis, CA 95616, USA.
Jinyi QiDepartment of Biomedical Engineering, University of California at Davis, Davis, CA 95616, USA.
Shiva AbbaszadehDepartment of Electrical and Computer Engineering, University of California at Santa Cruz, Santa Cruz, CA 95064, USA.
Guobao WangDepartment of Radiology, University of California Davis Medical Center, Sacramento, CA 95817, USA.
University of California Davis Medical Center · USUniversity of California, Davis · USUniversity of California, Santa Cruz · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
EXPLORER: Changing the Molecular Imaging Paradigm with Total Body PETR01CA206187 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BADAWI, RAMSEY D., CHERRY, SIMON R · 2015 to 2019
$15.5M
High spatial resolution dedicated head and neck PET system based on cadmium zinc telluride detectorsR01EB028091 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ABBASZADEH, SHIVA, WANG, GUOBAO · 2018 to 2021
$2.6M
Single-tracer Multiparametric PET ImagingR01EB033435 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WANG, GUOBAO · 2022 to 2025
$2.4M
NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA206187NIBIB NIH HHS R01 EB028091NIBIB NIH HHS R01 EB033435
6 · The paper itself

Abstract

Dynamic PET allows quantification of physiological parameters through tracer kinetic modeling. For dynamic imaging of brain or head and neck cancer on conventional PET scanners with a short axial field of view, the image-derived input function (ID-IF) from intracranial blood vessels such as the carotid artery (CA) suffers from severe partial volume effects. Alternatively, optimization-derived input function (OD-IF) by the simultaneous estimation (SIME) method does not rely on an ID-IF but derives the input function directly from the data. However, the optimization problem is often highly ill-posed. We proposed a new method that combines the ideas of OD-IF and ID-IF together through a kernel framework. While evaluation of such a method is challenging in human subjects, we used the uEXPLORER total-body PET system that covers major blood pools to provide a reference for validation.

methodsThe conventional SIME approach estimates an input function using a joint estimation together with kinetic parameters by fitting time activity curves from multiple regions of interests (ROIs). The input function is commonly parameterized with a highly nonlinear model which is difficult to estimate. The proposed kernel SIME method exploits the CA ID-IF as a priori information via a kernel representation to stabilize the SIME approach. The unknown parameters are linear and thus easier to estimate. The proposed method was evaluated using

resultsThe estimated OD-IF by kernel SIME showed a good match with the reference input function and provided more accurate estimation of kinetic parameters for both simulation and human-subject data. The kernel SIME led to the highest correlation coefficient (R = 0.97) and the lowest mean absolute error (MAE = 10.5 %) compared to using the CA ID-IF (R = 0.86, MAE = 108.2 %) and conventional SIME (R = 0.57, MAE = 78.7 %) in the human-subject evaluation. Adding more ROIs improved the overall performance of the kernel SIME method.

conclusionThe proposed kernel SIME method shows promise to provide an accurate estimation of the blood input function and kinetic parameters for brain PET parametric imaging.

Indexed as

BrainPositron-Emission TomographyAlgorithmsHumansImage Processing, Computer-AssistedWhole Body ImagingInput function estimationKernel methodTotal-body PETTracer kinetic modeling

Identifiers

PMID38643890
PMCPMC11251003
OpenAlexW4394984835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.