Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit
Abstract The photon-counting detector computed tomography (PCD-CT) is a promising new technology that provides more spectral information in medical imaging. PCD-CT enables bedside imaging in the neuro intensive care unit (neuro ICU) for patients with life-threatening conditions such as brain hemorrh...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-81735-x |
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| author | Su-Jin Park Kwanhee Han Junyoung Park Jonghwan Min Dufan Wu Doil Kim Kyutae Kang Duhgoon Lee Rajiv Gupta Jinwook Jung |
| author_facet | Su-Jin Park Kwanhee Han Junyoung Park Jonghwan Min Dufan Wu Doil Kim Kyutae Kang Duhgoon Lee Rajiv Gupta Jinwook Jung |
| author_sort | Su-Jin Park |
| collection | DOAJ |
| description | Abstract The photon-counting detector computed tomography (PCD-CT) is a promising new technology that provides more spectral information in medical imaging. PCD-CT enables bedside imaging in the neuro intensive care unit (neuro ICU) for patients with life-threatening conditions such as brain hemorrhage and ischemic stroke. The primary purpose of this study is to evaluate a multi-material decomposition algorithm available on PCD-CT, dubbed MD Plus, to differentiate between contrast agent and hemorrhage in hyperdense lesions. A certified multi-energy phantom was used to validate its performance with various x-ray exposure conditions and locations of contrast agent. The results from the quantitative analysis of multi-energy phantoms and the clinical cases of patients in the ICU demonstrated that MD Plus can accurately differentiate between the contrast agent and the hemorrhage. The extended MD Plus algorithm, including virtual non-contrast (VNC) and bone removal, was also validated for various clinical applications. |
| format | Article |
| id | doaj-art-f1078b9ebbd0461f84a0c6af27b45831 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-f1078b9ebbd0461f84a0c6af27b458312025-01-05T12:30:30ZengNature PortfolioScientific Reports2045-23222024-12-0114111610.1038/s41598-024-81735-xMobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unitSu-Jin Park0Kwanhee Han1Junyoung Park2Jonghwan Min3Dufan Wu4Doil Kim5Kyutae Kang6Duhgoon Lee7Rajiv Gupta8Jinwook Jung9Health & Medical Equipment Business, Samsung Electronics Co., LtdHealth & Medical Equipment Business, Samsung Electronics Co., LtdHealth & Medical Equipment Business, Samsung Electronics Co., LtdHealth & Medical Equipment Business, Samsung Electronics Co., LtdMassachusetts General HospitalHealth & Medical Equipment Business, Samsung Electronics Co., LtdHealth & Medical Equipment Business, Samsung Electronics Co., LtdSamsung NeuroLogicaMassachusetts General HospitalHealth & Medical Equipment Business, Samsung Electronics Co., LtdAbstract The photon-counting detector computed tomography (PCD-CT) is a promising new technology that provides more spectral information in medical imaging. PCD-CT enables bedside imaging in the neuro intensive care unit (neuro ICU) for patients with life-threatening conditions such as brain hemorrhage and ischemic stroke. The primary purpose of this study is to evaluate a multi-material decomposition algorithm available on PCD-CT, dubbed MD Plus, to differentiate between contrast agent and hemorrhage in hyperdense lesions. A certified multi-energy phantom was used to validate its performance with various x-ray exposure conditions and locations of contrast agent. The results from the quantitative analysis of multi-energy phantoms and the clinical cases of patients in the ICU demonstrated that MD Plus can accurately differentiate between the contrast agent and the hemorrhage. The extended MD Plus algorithm, including virtual non-contrast (VNC) and bone removal, was also validated for various clinical applications.https://doi.org/10.1038/s41598-024-81735-x |
| spellingShingle | Su-Jin Park Kwanhee Han Junyoung Park Jonghwan Min Dufan Wu Doil Kim Kyutae Kang Duhgoon Lee Rajiv Gupta Jinwook Jung Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit Scientific Reports |
| title | Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit |
| title_full | Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit |
| title_fullStr | Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit |
| title_full_unstemmed | Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit |
| title_short | Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit |
| title_sort | mobile photon counting detector ct with multi material decomposition methods for neuroimaging of patients in intensive care unit |
| url | https://doi.org/10.1038/s41598-024-81735-x |
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