Abstract
The "Dynamic Chest Image Analysis" project aims to develop model-based computer analysis and visualization methods for showing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected with the dynamic pulmonary imaging technique. We have proposed and evaluated a multiresolutional method with an explicit ventilation model for ventilation analysis. This paper presents a new model-based method for pulmonary perfusion analysis. According to perfusion properties, we first devise a novel mathematical function to form a perfusion model. A simple yet accurate approach is further introduced to extract cardiac systolic and diastolic phases from the heart, so that this cardiac information may be utilized to accelerate the perfusion analysis and improve its sensitivity in detecting pulmonary perfusion abnormalities. This makes perfusion analysis not only fast but also robust in computation; consequently, perfusion analysis becomes computationally feasible without using contrast media. Our clinical case studies with 52 patients show that this technique is effective for pulmonary embolism even without using contrast media, demonstrating consistent correlations with computed tomography (CT) and nuclear medicine (NM) studies. This fluoroscopical examination takes only about 2 seconds for perfusion study with only low radiation dose to patient, involving no preparation, no radioactive isotopes, and no contrast media.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 437-448 |
| Number of pages | 12 |
| Journal | Eurasip Journal on Applied Signal Processing |
| Volume | 2003 |
| Issue number | 5 |
| DOIs | |
| State | Published - Apr 1 2003 |
| Externally published | Yes |
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Keywords
- Chest images
- Dynamic chest image analysis
- Effects of contrast media
- Perfusion model
- Pulmonary perfusion
ASJC Scopus subject areas
- Hardware and Architecture
- Signal Processing
- Electrical and Electronic Engineering
Cite this
Dynamic chest image analysis : Model-based perfusion analysis in dynamic pulmonary imaging. / Liang, Jianming; Järvi, Timo; Kiuru, Aaro; Kormano, Martti; Svedström, Erkki.
In: Eurasip Journal on Applied Signal Processing, Vol. 2003, No. 5, 01.04.2003, p. 437-448.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Dynamic chest image analysis
T2 - Model-based perfusion analysis in dynamic pulmonary imaging
AU - Liang, Jianming
AU - Järvi, Timo
AU - Kiuru, Aaro
AU - Kormano, Martti
AU - Svedström, Erkki
PY - 2003/4/1
Y1 - 2003/4/1
N2 - The "Dynamic Chest Image Analysis" project aims to develop model-based computer analysis and visualization methods for showing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected with the dynamic pulmonary imaging technique. We have proposed and evaluated a multiresolutional method with an explicit ventilation model for ventilation analysis. This paper presents a new model-based method for pulmonary perfusion analysis. According to perfusion properties, we first devise a novel mathematical function to form a perfusion model. A simple yet accurate approach is further introduced to extract cardiac systolic and diastolic phases from the heart, so that this cardiac information may be utilized to accelerate the perfusion analysis and improve its sensitivity in detecting pulmonary perfusion abnormalities. This makes perfusion analysis not only fast but also robust in computation; consequently, perfusion analysis becomes computationally feasible without using contrast media. Our clinical case studies with 52 patients show that this technique is effective for pulmonary embolism even without using contrast media, demonstrating consistent correlations with computed tomography (CT) and nuclear medicine (NM) studies. This fluoroscopical examination takes only about 2 seconds for perfusion study with only low radiation dose to patient, involving no preparation, no radioactive isotopes, and no contrast media.
AB - The "Dynamic Chest Image Analysis" project aims to develop model-based computer analysis and visualization methods for showing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected with the dynamic pulmonary imaging technique. We have proposed and evaluated a multiresolutional method with an explicit ventilation model for ventilation analysis. This paper presents a new model-based method for pulmonary perfusion analysis. According to perfusion properties, we first devise a novel mathematical function to form a perfusion model. A simple yet accurate approach is further introduced to extract cardiac systolic and diastolic phases from the heart, so that this cardiac information may be utilized to accelerate the perfusion analysis and improve its sensitivity in detecting pulmonary perfusion abnormalities. This makes perfusion analysis not only fast but also robust in computation; consequently, perfusion analysis becomes computationally feasible without using contrast media. Our clinical case studies with 52 patients show that this technique is effective for pulmonary embolism even without using contrast media, demonstrating consistent correlations with computed tomography (CT) and nuclear medicine (NM) studies. This fluoroscopical examination takes only about 2 seconds for perfusion study with only low radiation dose to patient, involving no preparation, no radioactive isotopes, and no contrast media.
KW - Chest images
KW - Dynamic chest image analysis
KW - Effects of contrast media
KW - Perfusion model
KW - Pulmonary perfusion
UR - http://www.scopus.com/inward/record.url?scp=0038188749&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0038188749&partnerID=8YFLogxK
U2 - 10.1155/S1110865703212117
DO - 10.1155/S1110865703212117
M3 - Article
AN - SCOPUS:0038188749
VL - 2003
SP - 437
EP - 448
JO - Eurasip Journal on Advances in Signal Processing
JF - Eurasip Journal on Advances in Signal Processing
SN - 1687-6172
IS - 5
ER -