Predicting human performance by channelized Hotelling observer in discriminating between Alzheimer’s dementia and controls using statistically processed brain perfusion SPECT

Shidahara, Miho; Inoue, Kentaro; Maruyama, Masahiro; Watabe, Hiroshi; Taki, Yasuyuki; Goto, Ryoi; Okada, Ken; Kinomura, Shigeo; Osawa, Shinichiro; Onishi, Yuki; Ito, Hiroshi; Arai, Hiroyuki; Fukuda, Hiroshi

doi:10.1007/bf02984658

Cited by 10 publications

(13 citation statements)

References 20 publications

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“…In the literature, they used a channelized Hotelling observer (CHO) method or a principal component analysis (PCA) after setting volume of interests (VOIs) for diagnosing AD or MCI. The merit of using CHO [37] is to differentiate patterns of frequency after Fourier transformation of levels of pixels measured by SPECT between groups. Using voxel data [37], [38] sounds more objective, but a high chance of noise generation may degrade the image quality.…”

Section: Discussionmentioning

confidence: 99%

New Computer-Aided Diagnosis of Dementia Using Positron Emission Tomography: Brain Regional Sensitivity-Mapping Method

et al. 2011

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PurposeWe devised a new computer-aided diagnosis method to segregate dementia using one estimated index (Total Z score) derived from the Brodmann area (BA) sensitivity map on the stereotaxic brain atlas. The purpose of this study is to investigate its accuracy to differentiate patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) from normal adults (NL).MethodsWe studied 101 adults (NL: 40, AD: 37, MCI: 24) who underwent 18FDG positron emission tomography (PET) measurement. We divided NL and AD groups into two categories: a training group with (Category A) and a test group without (Category B) clinical information. In Category A, we estimated sensitivity by comparing the standard uptake value per BA (SUVR) between NL and AD groups. Then, we calculated a summated index (Total Z score) by utilizing the sensitivity-distribution maps and each BA z-score to segregate AD patterns. To confirm the validity of this method, we examined the accuracy in Category B. Finally, we applied this method to MCI patients.ResultsIn Category A, we found that the sensitivity and specificity of differentiation between NL and AD were all 100%. In Category B, those were 100% and 95%, respectively. Furthermore, we found this method attained 88% to differentiate AD-converters from non-converters in MCI group.ConclusionsThe present automated computer-aided evaluation method based on a single estimated index provided good accuracy for differential diagnosis of AD and MCI. This good differentiation power suggests its usefulness not only for dementia diagnosis but also in a longitudinal study.

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Section: Discussionmentioning

confidence: 99%

New Computer-Aided Diagnosis of Dementia Using Positron Emission Tomography: Brain Regional Sensitivity-Mapping Method

et al. 2011

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“…His EEG was normal, but brain MRI showed enlargement of the bilateral sylvian fissures. N-isopropyl-p[ 123 I] iodoamphetamine (IMP) SPECT with three-dimensional stereotactic surface projections (3D-SSP) analysis [11] showed relative hypoperfusion in the bilateral temporo-parietal areas, extending from the inferior parietal lobule to the temporo-parietal junction to the middle and inferior temporal gyri.…”

Section: Case Presentationsmentioning

confidence: 99%

Progression of logopenic variant primary progressive aphasia to apraxia and semantic memory deficits

et al. 2013

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BackgroundDue to the nature of neurodegenerative disorders, patients with primary progressive aphasia develop cognitive impairment other than aphasia as the disorder progresses. The progression of logopenic variant primary progressive aphasia (lvPPA), however, has not been well described. In particular, praxic disorders and semantic memory deficits have rarely been reported.Case presentationsWe report three patients in the initial stage of lvPPA who subsequently developed apraxia in the middle stage and developed clinically evident semantic memory deficits in the advanced stages.ConclusionsThe present case series suggests that some patients with lvPPA develop an atypical type of dementia with apraxia and semantic memory deficits, suggesting that these cases should be classified as a type of early-onset Alzheimer’s disease.

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“…Based on the results of [7], we chose to explore 4 different numbers of the LG channels, N LG ={5,10,15,30} (the first N LG polynomials) and 4 different values of channel parameter a={15,25,30,45}.…”

Section: Observer Performance Experimentsmentioning

confidence: 99%

“…In the field of MRI, Tisdall and Atkins [6] used the CHO to compare reconstructions of MRI synthetic images. Later on, Shidahara et al [7] used real clinical SPECT images and reported good agreement between performance of a CHO and human in the task of detecting Alzheimer's dementia. In addition, numerical observer studies have been performed for the data sets acquired by inserting simulated lesions in clinically acquired image data of healthy subjects [8], [9], [10].…”

Section: Introductionmentioning

confidence: 96%

Optimization of medical imaging display systems: using the channelized Hotelling observer for detecting lung nodules: experimental study

et al. 2009

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Medical-imaging systems are designed to aid medical specialists in a specific task. Therefore, the physical parameters of a system need to optimize the task performance of a human observer. This requires measurements of human performance in a given task during the system optimization. Typically, psychophysical studies are conducted for this purpose. Numerical observer models have been successfully used to predict human performance in several detection tasks. Especially, the task of signal detection using a channelized Hotelling observer (CHO) in simulated images has been widely explored. However, there are few studies done for clinically acquired images that also contain anatomic noise. In this paper, we investigate the performance of a CHO in the task of detecting lung nodules in real radiographic images of the chest. To evaluate variability introduced by the limited available data, we employ a commonly used study of a multi-reader multi-case (MRMC) scenario. It accounts for both case and reader variability. Finally, we use the "one-shot" methods to estimate the MRMC variance of the area under the ROC curve (AUC). The obtained AUC compares well to those reported for human observer study on a similar data set. Furthermore, the "one-shot" analysis implies a fairly consistent performance of the CHO with the variance of AUC below 0.002. This indicates promising potential for numerical observers in optimization of medical imaging displays and encourages further investigation on the subject

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Predicting human performance by channelized Hotelling observer in discriminating between Alzheimer’s dementia and controls using statistically processed brain perfusion SPECT

Cited by 10 publications

References 20 publications

New Computer-Aided Diagnosis of Dementia Using Positron Emission Tomography: Brain Regional Sensitivity-Mapping Method

New Computer-Aided Diagnosis of Dementia Using Positron Emission Tomography: Brain Regional Sensitivity-Mapping Method

Progression of logopenic variant primary progressive aphasia to apraxia and semantic memory deficits

Optimization of medical imaging display systems: using the channelized Hotelling observer for detecting lung nodules: experimental study

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