著者
石原 健司
出版者
一般社団法人 日本高次脳機能障害学会
雑誌
高次脳機能研究 (旧 失語症研究) (ISSN:13484818)
巻号頁・発行日
vol.38, no.2, pp.184-187, 2018-06-30 (Released:2019-07-01)
参考文献数
5

脳画像は診断のみならずリハビリテーションでも有用な情報を提供してくれる。ここでは脳画像の読影において基本となる脳部位同定方法の考え方を呈示した。大脳の側面像で脳溝・脳回の名称を覚え, 画像の中でどのように表現されているのかを理解できれば, それらの相互の位置関係から, 手順を踏むことによって目的の構造を同定することができる。そのためには, どの方向の, どの断面で, どのような構造を同定することができるのか, を知っておくことが必要であるが, これは実際の脳画像を繰り返し見ながら習熟するのが唯一にして確実な方法である。
著者
石原 健司
出版者
日本神経心理学会
雑誌
神経心理学 (ISSN:09111085)
巻号頁・発行日
vol.34, no.2, pp.163-171, 2018-06-25 (Released:2018-08-29)
参考文献数
26

神経心理学における画像診断と病理の役割について,自験症例6例を通して考察した.画像所見については,病巣局在を示すこと,病理診断のヒントになり得ること,その一方で診断のバイアスにもなり得ることが示された.また変性疾患の場合,発症早期は臨床症状と責任病変が対応している可能性が示唆された.さらに,臨床症状,画像所見では診断の決め手を欠く場合,その他の検索方法も考慮すべきであることが示された.神経心理学では病巣と症候の対比が不可欠であるが,今後は治療介入の可能性という観点から,病理と画像診断が相関して診断に寄与することが期待される.
著者
石原 健司 小松 幸夫
出版者
日本建築学会
雑誌
日本建築学会計画系論文集 (ISSN:13404210)
巻号頁・発行日
no.769, pp.679-688, 2020-03
被引用文献数
2

<p> In this study, we analyzed the transition of building stock in the Tokyo wards and visualized the results. The data we used are the GIS databases created by Tokyo Metropolis, which correspond to six time points every five years from 1991 to 2016, and the analysis proceeded as follows.</p><p> 1) Data screening: In order to analyze the GIS data across the years, data screening is needed. We unified the definitions of attribute data and excluded data with missing values and outliers. In addition, since it was confirmed that some divided polygons were contained in the data, then we combined them into the ordinary forms.</p><p> 2) Basic statistics: During the 25 years, the gross floor area has increased by 60% against the 8% increase in the number of buildings, and the average size of the buildings has increased by 48%. However, as for the median, the increase is only 14%. The other quantiles did not change significantly compared to the average value. This may be resulted from the hugeness of some new buildings and indicates that the unevenness of building scale distribution in urban has increased year by year. Also, looking at this from the view of use, the commercial buildings have a strong trend to be large scale, as well as the offices and the apartment houses, while the average gross floor area of detached houses is almost constant. Also, the distribution of gross floor area of detached houses is found out to be converging on around 138 square meters (that is calculated from polygon data and is different from the exact floor area). The changing trends of building size were different depending on the building use.</p><p> 3) Comprehension of building state changes: In order to comprehend the change of the state of a building, the GIS data of 2010 and 2016 were spatially overlapped and the identification of buildings were implemented, then we extracted the buildings seemed to be not same as before. As the result of overlapping, the change patterns of building state were classified into six types, as "Rebuilding", "New Construction", "Demolition", "Integration", "Division", and "Other". Comparing the change of building size by patterns, there was a remarkable trend of enlargement in "Integration" and miniaturization in "Division". "Integration" shows higher proportion than other patterns in the commercial buildings, the offices and the apartment houses. On the other hand, most of the "Division" was occurred in the detached houses. It is considered that these results are related to the transition of the total floor area of each building use.</p><p> Looking at the geographical distribution density of building change patterns using kernel density estimation, the "Demolition" and the "Integration" had high density mainly in the downtown area, and the "Division" was distributed mainly in the residential area. In addition, the "New Construction" occurred at the outer edge. The huge buildings are thought to appear caused by the "Demolition" and the "Integration" around the center area of the city. In addition, it is also suggested that the living environments are changing as "Divisions" are actively carried out in old residence towns.</p>