SlideShare a Scribd company logo
1 of 1
Effects of tracer arrival time on the 
accuracy of high-resolution (voxel-wise) 
myocardial perfusion maps from 
contrast-enhanced first-pass perfusion 
magnetic resonance 
First-pass perfusion cardiac magnetic resonance (CMR) allows the quantitative assessment 
of myocardial blood flow (MBF). However flow estimates are sensitive to the delay between 
the arterial and myocardial tissue tracer arrival time (tOnset) and the accurate estimation of 
MBF relies on the precise identification of tOnset. The aim of this study is to assess the 
sensitivity of the quantification process to tOnset at voxel level. Perfusion data were 
obtained from series of simulated data, a hardware perfusion phantom and patients. Fermi 
deconvolution has been used for analysis. A novel algorithm, based on sequential 
deconvolution which minimizes the error between myocardial curves and fitted curves 
obtained after deconvolution has been used to identify the optimal tOnset for each region. 
Voxel-wise analysis showed to be more sensitive to tOnset compared to segmental 
analysis. The automated detection of the tOnset allowed a net improvement of the accuracy 
of MBF quantification and in patients the identification of perfusion abnormalities in 
territories that were missed when a constant user-selected tOnset was used. Our results 
indicate that high-resolution MBF quantification should be performed with optimized tOnset 
values at voxel level.

More Related Content

More from ieeepondy

More from ieeepondy (20)

Demand aware network function placement
Demand aware network function placementDemand aware network function placement
Demand aware network function placement
 
Service description in the nfv revolution trends, challenges and a way forward
Service description in the nfv revolution trends, challenges and a way forwardService description in the nfv revolution trends, challenges and a way forward
Service description in the nfv revolution trends, challenges and a way forward
 
Secure optimization computation outsourcing in cloud computing a case study o...
Secure optimization computation outsourcing in cloud computing a case study o...Secure optimization computation outsourcing in cloud computing a case study o...
Secure optimization computation outsourcing in cloud computing a case study o...
 
Spatial related traffic sign inspection for inventory purposes using mobile l...
Spatial related traffic sign inspection for inventory purposes using mobile l...Spatial related traffic sign inspection for inventory purposes using mobile l...
Spatial related traffic sign inspection for inventory purposes using mobile l...
 
Standards for hybrid clouds
Standards for hybrid cloudsStandards for hybrid clouds
Standards for hybrid clouds
 
Rfhoc a random forest approach to auto-tuning hadoop's configuration
Rfhoc a random forest approach to auto-tuning hadoop's configurationRfhoc a random forest approach to auto-tuning hadoop's configuration
Rfhoc a random forest approach to auto-tuning hadoop's configuration
 
Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...
 
Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...
 
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
 
Scalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of thingsScalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of things
 
Scalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory dataScalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory data
 
Robust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centersRobust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centers
 
Privacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learningPrivacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learning
 
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
 
Protection of big data privacy
Protection of big data privacyProtection of big data privacy
Protection of big data privacy
 
Power optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ranPower optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ran
 
Performance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auctionPerformance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auction
 
Performance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instancesPerformance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instances
 
Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...
 
Predictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacentersPredictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacenters
 

Recently uploaded

Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
 

Recently uploaded (20)

Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptxExploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
Exploring_the_Narrative_Style_of_Amitav_Ghoshs_Gun_Island.pptx
 
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 

Effects of tracer arrival time on the accuracy of high resolution (voxel-wise) myocardial perfusion maps from contrast-enhanced first-pass perfusion magnetic resonance

  • 1. Effects of tracer arrival time on the accuracy of high-resolution (voxel-wise) myocardial perfusion maps from contrast-enhanced first-pass perfusion magnetic resonance First-pass perfusion cardiac magnetic resonance (CMR) allows the quantitative assessment of myocardial blood flow (MBF). However flow estimates are sensitive to the delay between the arterial and myocardial tissue tracer arrival time (tOnset) and the accurate estimation of MBF relies on the precise identification of tOnset. The aim of this study is to assess the sensitivity of the quantification process to tOnset at voxel level. Perfusion data were obtained from series of simulated data, a hardware perfusion phantom and patients. Fermi deconvolution has been used for analysis. A novel algorithm, based on sequential deconvolution which minimizes the error between myocardial curves and fitted curves obtained after deconvolution has been used to identify the optimal tOnset for each region. Voxel-wise analysis showed to be more sensitive to tOnset compared to segmental analysis. The automated detection of the tOnset allowed a net improvement of the accuracy of MBF quantification and in patients the identification of perfusion abnormalities in territories that were missed when a constant user-selected tOnset was used. Our results indicate that high-resolution MBF quantification should be performed with optimized tOnset values at voxel level.