Landmark-based registration and measurement of magnetic resonance images: A reliability study

Arndt, Stephan; Rajarethinam, Rajaprabhakaran; Cizadlo, Ted; O'Leary, Daniel S.; Downhill, J.; Andreasen, Nancy C.

doi:10.1016/0925-4927(96)02904-6

Cited by 19 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Magnotta et al, 1999); (2) landmark based shape analysis (e.g. Arndt et al, 1996;Bookstein, 1991Bookstein, , 1997aBuckley et al,1999;Casanova et al,1990;Corson et al,1999a;DeQuardo et al, 1996DeQuardo et al, , 1999Tibbo et al, 1998); (3) surface parametrization techniques for shape extraction (e.g. Brechbühler et al, 1995;Narr et al, 2000); (4) skeletonization techniques for extracting shape (e.g.…”

Section: Summary Of Mri Findings and Future Directions For Researchmentioning

confidence: 99%

A review of MRI findings in schizophrenia

Shenton

Dickey

Frumin

et al. 2001

Schizophrenia Research

2,146

121

1,332

View full text Add to dashboard Cite

After more than 100 years of research, the neuropathology of schizophrenia remains unknown and this is despite the fact that both Kraepelin (1919/1971: Kraepelin,E., 1919/1971. Dementia praecox. Churchill Livingston Inc., New York) and Bleuler (1911/1950: Bleuler, E., 1911/1950. Dementia praecox or the group of schizophrenias. International Universities Press, New York), who first described 'dementia praecox' and the ' schizophrenias', were convinced that schizophrenia would ultimately be linked to an organic brain disorder. Alzheimer (1897: Alzheimer, A., 1897. Beitrage zur pathologischen anatomie der hirnrinde und zur anatomischen grundlage einiger psychosen. Monatsschrift fur Psychiarie und Neurologie. 2, 82-120) was the first to investigate the neuropathology of schizophrenia, though he went on to study more tractable brain diseases. The results of subsequent neuropathological studies were disappointing because of conflicting findings. Research interest thus waned and did not flourish again until 1976, following the pivotal computer assisted tomography (CT) finding of lateral ventricular enlargement in schizophrenia by Johnstone and colleagues. Since that time significant progress has been made in brain imaging, particularly with the advent of magnetic resonance imaging (MRI), beginning with the first MRI study of schizophrenia by Smith and coworkers in 1984 (Smith, R.C., Calderon, M., Ravichandran, G. K., et al. (1984). Nuclear magnetic resonance in schizophrenia: A preliminary study. Psychiatry Res. 12, 137-147). MR in vivo imaging of the brain now confirms brain abnormalities in schizophrenia.The 193 peer reviewed MRI studies reported in the current review span the period from 1988 to August, 2000. This 12 year period has witnessed a burgeoning of MRI studies and has led to more definitive findings of brain abnormalities in schizophrenia than any other time period in the history of schizophrenia research. Such progress in defining the neuropathology of schizophrenia is largely due to advances in in vivo MRI techniques. These advances have now led to the identification of a number of brain abnormalities in schizophrenia. Some of these abnormalities confirm earlier postmortem findings, and most are small and subtle, rather than large, thus necessitating more advanced and accurate measurement tools. These findings include ventricular enlargement (80% of studies reviewed) and third ventricle enlargement (73% of studies reviewed). There is also preferential involvement of medial temporal lobe structures (74% of studies reviewed), which include the amygdala, hippocampus, and parahippocampal gyrus, and neocortical temporal lobe regions (superior temporal gyrus) (100% of studies reviewed). When gray and white matter of superior temporal gyrus was combined, 67% of studies reported abnormalities. There was also moderate evidence for frontal lobe abnormalities (59% of studies reviewed), particularly prefrontal gray matter and orbitofrontal regions. Similarly, there was moderate evidence for parietal lobe ab...

show abstract

Section: Summary Of Mri Findings and Future Directions For Researchmentioning

confidence: 99%

A review of MRI findings in schizophrenia

Shenton

Dickey

Frumin

et al. 2001

Schizophrenia Research

2,146

121

1,332

View full text Add to dashboard Cite

show abstract

“…1, whereas Arndt et al (1996) select the "middlemost sagittal slice." Finally, Arndt et al (1996) use a suboptimal and heuristic method for finding the required translations and rotation of the MSP landmarks to target locations, while we used the procedure described in (Arun et al, 1987) to directly find the T lm which minimizes the optimality criterion in Eq. (1).…”

Section: Discussionmentioning

confidence: 99%

“…Following this step, a transformed volume V • (T acpc • T msp ) −1 would be approximately in the desired PIL orientation. However, since the AC and PC points are only approximately an inch apart on the MSP, and because the accuracy of automated AC/PC detection algorithms has been reported to be on the order of 1 mm (Ardekani and Bachman, 2009;Bhanu Prakash et al, 2006;Verard et al, 1997;Liu and Dawant, 2015), errors in AC/PC detection could result in a large variance in the head's pitch angle (Arndt et al, 1996;Evans et al, 1992;Li et al, 2003).…”

mentioning

confidence: 99%

A New Approach to Symmetric Registration of Longitudinal Structural MRI of the Human Brain

Ardekani

2018

Preprint

View full text Add to dashboard Cite

This technical report presents the Automatic Temporal Registration Algorithm (ATRA) for symmetric rigid-body affine registration of longitudinal T 1 -weighted three-dimensional magnetic resonance imaging (MRI) scans of the human brain. This is a fundamental processing step in computational neuroimaging. The notion of leave-one-out consistent (LOOC) landmarks with respect to a supervised landmark detection algorithm is introduced. An automatic algorithm is presented for identification of LOOC landmarks on MRI scans. Using this technique, multiple sets of LOOC landmarks (around 150) are identified on each of the volumes being registered.Then, a Generalized Orthogonal Procrustes Analysis of the identified landmarks is used to find a rigid-body transformation of each volume into a common space where the transformed volumes are precisely aligned. In addition, a new approach is introduced for quantitative assessment of registration accuracy in the absence of a gold standard. Qualitative and quantitative evaluations of ATRA registration accuracy are performed using 2012 volumes from 503 subjects (4 longitudinal volumes/subject) from the Alzheimer's Disease Neuroimaging Initiative database, and on a further 120 volumes acquired from 3 normal subjects (40 longitudinal volumes/subject). The algorithm is symmetric, in the sense that any permutation of the input volumes does not change the resulting transformation matrices, and unbiased, in the sense that all volumes undergo one and only one interpolation operation, which precisely aligns them in a common space. There is no interpolation bias and no reference volume. All volumes are treated exactly the same. The algorithm is fast and highly accurate. The software is publicly available.

show abstract

“…The reasons for this may be that the required amount of landmarks can not be reasonably marked in practice or that using extrinsic markers means too much strain for the patient, or simply because the images have already been acquired without extrinsic markers. In these cases, carefully selected and acquired intrinsic anatomical landmarks that have been identified by health professionals [16] can be used as reference data as well, giving fair results in terms of exactness for select modalities [17]. Since these intrinsic landmarks can be considered equivalent to extrinsic markers, evaluation of registration algorithms can be done with these intrinsic landmarks as well.…”

Section: Verification Via Marking Of Anatomical Positionsmentioning

confidence: 99%