Abstract
Mouse lung models facilitate the investigation of conditions such as chronic inammation which are associate with common lung diseases. The multi-scale manifestation of lung inammation prompted us to use multi-scale imaging - both in vivo , ex vivo MRI along with ex vivo histology, for its study in a new quantitative way. Some imaging modalities, such as MRI, are non-invasive and capture macroscopic features of the pathology, while others, e.g. ex vivo histology, depict detailed structures. Registering such multi-modal data to the same spatial coordinates will allow the construction of a comprehensive 3D model to enable the multi-scale study of diseases. Moreover, it may facilitate the identification and definition of quantitative of in vivo imaging signatures for diseases and pathologic processes. We introduce a quantitative, image analytic framework to integrate in vivo MR images of the entire mouse with ex vivo histology of the lung alone, using lung ex vivo MRI as conduit to facilitate their co-registration. In our framework, we first align the MR images by registering the in vivo and ex vivo MRI of the lung using an interactive rigid registration approach. Then we reconstruct the 3D volume of the ex vivo histological specimen by eficient groupwise registration of the 2D slices. The resulting 3D histologic volume is subsequently registered to the MRI volumes by interactive rigid registration, directly to the ex vivo MRI, and implicitly to in vivo MRI. Qualitative evaluation of the registration framework was performed by comparing airway tree structures in ex vivo MRI and ex vivo histology where airways are visible and may be annotated. We present a use case for evaluation of our co-registration framework in the context of studying chronic inammation in a diseased mouse.
| Original language | English |
|---|---|
| Title of host publication | Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging |
| Volume | 8672 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging - Lake Buena Vista, FL, United States Duration: 10 Feb 2013 → 13 Feb 2013 |
Conference
| Conference | Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging |
|---|---|
| Country | United States |
| City | Lake Buena Vista, FL |
| Period | 10.2.13 → 13.2.13 |
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Keywords
- Branchi
- Chronic
- Ex vivo mri
- Histopathology
- In vivo mri
- Inammation
- Mouse lung model
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Electronic, Optical and Magnetic Materials
- Biomaterials
- Radiology Nuclear Medicine and imaging
Cite this
Multi-scale, multi-modal fusion of histological and MRI volumes for characterization of lung inammation. / Rusu, Mirabela; Wang, Haibo; Golden, Thea; Gow, Andrew; Madabhushi, Anant.
Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 8672 2013. 86720X.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-scale, multi-modal fusion of histological and MRI volumes for characterization of lung inammation
AU - Rusu, Mirabela
AU - Wang, Haibo
AU - Golden, Thea
AU - Gow, Andrew
AU - Madabhushi, Anant
PY - 2013
Y1 - 2013
N2 - Mouse lung models facilitate the investigation of conditions such as chronic inammation which are associate with common lung diseases. The multi-scale manifestation of lung inammation prompted us to use multi-scale imaging - both in vivo , ex vivo MRI along with ex vivo histology, for its study in a new quantitative way. Some imaging modalities, such as MRI, are non-invasive and capture macroscopic features of the pathology, while others, e.g. ex vivo histology, depict detailed structures. Registering such multi-modal data to the same spatial coordinates will allow the construction of a comprehensive 3D model to enable the multi-scale study of diseases. Moreover, it may facilitate the identification and definition of quantitative of in vivo imaging signatures for diseases and pathologic processes. We introduce a quantitative, image analytic framework to integrate in vivo MR images of the entire mouse with ex vivo histology of the lung alone, using lung ex vivo MRI as conduit to facilitate their co-registration. In our framework, we first align the MR images by registering the in vivo and ex vivo MRI of the lung using an interactive rigid registration approach. Then we reconstruct the 3D volume of the ex vivo histological specimen by eficient groupwise registration of the 2D slices. The resulting 3D histologic volume is subsequently registered to the MRI volumes by interactive rigid registration, directly to the ex vivo MRI, and implicitly to in vivo MRI. Qualitative evaluation of the registration framework was performed by comparing airway tree structures in ex vivo MRI and ex vivo histology where airways are visible and may be annotated. We present a use case for evaluation of our co-registration framework in the context of studying chronic inammation in a diseased mouse.
AB - Mouse lung models facilitate the investigation of conditions such as chronic inammation which are associate with common lung diseases. The multi-scale manifestation of lung inammation prompted us to use multi-scale imaging - both in vivo , ex vivo MRI along with ex vivo histology, for its study in a new quantitative way. Some imaging modalities, such as MRI, are non-invasive and capture macroscopic features of the pathology, while others, e.g. ex vivo histology, depict detailed structures. Registering such multi-modal data to the same spatial coordinates will allow the construction of a comprehensive 3D model to enable the multi-scale study of diseases. Moreover, it may facilitate the identification and definition of quantitative of in vivo imaging signatures for diseases and pathologic processes. We introduce a quantitative, image analytic framework to integrate in vivo MR images of the entire mouse with ex vivo histology of the lung alone, using lung ex vivo MRI as conduit to facilitate their co-registration. In our framework, we first align the MR images by registering the in vivo and ex vivo MRI of the lung using an interactive rigid registration approach. Then we reconstruct the 3D volume of the ex vivo histological specimen by eficient groupwise registration of the 2D slices. The resulting 3D histologic volume is subsequently registered to the MRI volumes by interactive rigid registration, directly to the ex vivo MRI, and implicitly to in vivo MRI. Qualitative evaluation of the registration framework was performed by comparing airway tree structures in ex vivo MRI and ex vivo histology where airways are visible and may be annotated. We present a use case for evaluation of our co-registration framework in the context of studying chronic inammation in a diseased mouse.
KW - Branchi
KW - Chronic
KW - Ex vivo mri
KW - Histopathology
KW - In vivo mri
KW - Inammation
KW - Mouse lung model
UR - http://www.scopus.com/inward/record.url?scp=84878305473&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878305473&partnerID=8YFLogxK
U2 - 10.1117/12.2007148
DO - 10.1117/12.2007148
M3 - Conference contribution
AN - SCOPUS:84878305473
SN - 9780819494467
VL - 8672
BT - Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging
ER -