Deformable Image Registration for Neurosurgical Procedures / (Record no. 219383)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04224 a2200193 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | Nust |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260206191527.0 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Nust |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.382,AHM |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ahmad, Sahar |
| 9 (RLIN) | 133117 |
| 245 ## - TITLE STATEMENT | |
| Title | Deformable Image Registration for Neurosurgical Procedures / |
| Statement of responsibility, etc. | Sahar Ahmed |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Rawalpindi, |
| Name of publisher, distributor, etc. | MCS (NUST), |
| Date of publication, distribution, etc. | 2016 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xv, 111 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Image-guided neurosurgery based on navigation systems has been developed to assist<br/>intracranial tumor resection surgery. The success of the surgery relies heavily on the<br/>precision of the navigation system, which decreases due to a phenomenon called "brain<br/>shift". During craniotomies, the soft tissues of the brain deform due to gravitational<br/>force, cerebro spinal fluid leakage, intracranial pressure change or surgical interventions.<br/>This significantly deteriorates the assumption of linear geometrical differences<br/>between pre-operative and intra-operative images. To compensate for such non-linear<br/>deformations, non-rigid registration techniques are employed.<br/>The first contribution of this PhD work is the development of a new approach for<br/>inter-subject non-rigid registration of 3D magnetic resonance (MR) brain images. It is<br/>motivated by the ideas derived from elastodynamics which is the subclass of linear elastic<br/>theory. We proposed to model the non-rigid deformations as elastic waves which<br/>are characterized by elastodynamics wave equation. The registration process ensues<br/>in a hierarchical fashion, thus reducing the risk of obtaining a local optimal transformation.<br/>Experimental results demonstrated that the proposed deformable registration<br/>method leads to very promising results when applied to the problem of inter-subject<br/>registration and that favorably compared against classical registration approaches.<br/>The second contribution of this work is the incorporation of topology preservation<br/>property into our proposed inter-subject non-rigid registration method. We proposed<br/>to impose the topology preserving penalty on the deformation by constraining the Jacobian<br/>determinant of the transformation to be positive over the entire image domain.<br/>This property ensured that the recovered transformations do not exhibit tearing or folding effects. The results of the proposed registration approach were compared in terms<br/>of Kappa index and relative overlap over segmented anatomical structures to that obtained<br/>with existing topology preserving non-rigid image registration methods and non<br/>topology preserving variant of our proposed registration scheme. The Jacobian determinant<br/>maps obtained with our proposed registration method were qualitatively and<br/>quantitatively analyzed. The results demonstrated that the proposed scheme provides<br/>good registration accuracy and results into smooth transformation with a guarantee to<br/>preserve topology.<br/>The third contribution of this PhD work is that we developed a new inverse consistent<br/>non-rigid image registration method based on elastodynamics. Inverse consistency<br/>property renders the registration procedure unbiased towards the order of input images.<br/>This assures that the forward and reverse transformations are inverses of each<br/>other which do not change by switching the input images. We introduced the inverse<br/>consistency constraint into the inertial force that is part of the elastodynamics wave<br/>equation which governs the underlying non-rigid deformations. We conducted image<br/>registration experiments, with and without inverse consistency constraint, on three different<br/>datasets comprising of 3D MR brain scans. The extent to which the proposed<br/>registration scheme enforced inverse consistency was analyzed through inverse consistency<br/>error. The results revealed that the inverse consistency error reduced by 99%<br/>with our inverse consistent registration method as compared to the non-inverse consistent<br/>counterpart. Thus, the proposed inverse consistent registration method seems very<br/>promising both in terms of registration accuracy and inverse consistency error. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | PhD Electrical Engineering Thesis |
| 9 (RLIN) | 133107 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | PhD EE Thesis |
| 9 (RLIN) | 133108 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervised by Dr. Muhammad Faisal Khan |
| 9 (RLIN) | 133116 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis |
| Source of classification or shelving scheme | |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note | Total Checkouts |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library (CL) | Central Library (CL) | Thesis | 09/19/2019 | 621.3 | CL-T-1488 | 09/19/2019 | 09/19/2019 | ||||||||
| Military College of Signals (MCS) | Military College of Signals (MCS) | Thesis | 12/12/2016 | 621.382,AHM | MCSPhD EE-09 | 12/08/2016 | 12/12/2016 | Thesis | Almirah No.68, Shelf No.6 |